Python Developer Jobs in Saudi

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Tabby</h3> <p style="margin:0 0 12px; ************;">Tabby is a leading FinTech company focused on creating financial freedom by reshaping how people shop, earn, and save. With over 15 million users, Tabby enables flexible payments online and in-store, allowing shoppers to split costs with no interest or fees. The platform supports over 40,000 global brands and small businesses, including Amazon and IKEA, generating over $10 billion in annual transaction volume. Launched in 2019, Tabby is recognized as the highest-rated, largest, and fastest-growing FinTech in the GCC region, having secured over $1 billion in funding and valued at $ billion.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role: ServiceDesk Team Lead, KSA</h3> <p style="margin:0 0 12px; ************;">Tabby is seeking a <strong style="font-weight:700;">ServiceDesk Team Lead</strong> to manage L1 technical support operations in Riyadh, Saudi Arabia. This full-time role involves overseeing the support queue, ensuring quality, meeting SLAs, and leading the local L1 engineers. The Team Lead will maintain a clean escalation flow to L2 and engineering, manage incident response for KSA-affecting issues, and represent ServiceDesk in KSA-specific processes, including regulatory requirements with SAMA.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Key Responsibilities</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Manage the KSA ServiceDesk queue end-to-end, including daily operations, prioritization, coverage, and backlog control, while ensuring first response and resolution meet SLA targets.</li> <li style="margin:0 0 6px;">Act as a player-coach by handling complex tickets personally, setting technical standards for the team, and serving as the primary troubleshooter for L2-level cases requiring KSA-specific context.</li> <li style="margin:0 0 6px;">Lead and develop the KSA ServiceDesk team through onboarding, quality reviews, workload balancing, and individual development plans.</li> <li style="margin:0 0 6px;">Oversee escalation quality as a process, defining standards for escalations to L2/engineering, monitoring flow metrics, and intervening when necessary.</li> <li style="margin:0 0 6px;">Drive incident response for KSA-affecting issues (P1/P2), coordinating with engineering and stakeholders, and managing regulatory reporting to SAMA.</li> <li style="margin:0 0 6px;">Identify and report bugs, analyze technical issues, and create development tasks for resolution.</li> <li style="margin:0 0 6px;">Standardize solutions, prepare, and update documentation and runbooks for ServiceDesk teams.</li> <li style="margin:0 0 6px;">Manage quality using data metrics such as reopen rate, escalation rate, first response, and resolution times per agent and category, implementing corrective actions for deviations.</li> <li style="margin:0 0 6px;">Contribute to the development and improvement of internal tools and processes.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Skills</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Minimum of 3 years of experience in technical support or service desk roles, including at least 1 year in a team or shift leadership position.</li> <li style="margin:0 0 6px;">Demonstrated hands-on troubleshooting skills, including debugging logs, APIs, and data, with the ability to technically justify or reject escalations.</li> <li style="margin:0 0 6px;">Practical experience in incident management, including P1/P2 flows, incident coordination, and postmortems.</li> <li style="margin:0 0 6px;">Proficiency in working with Jira.</li> <li style="margin:0 0 6px;">Strong soft skills, including ownership, facilitation of ticket handling and resolution processes, proactivity, and a high level of autonomy.</li> <li style="margin:0 0 6px;">Experience managing by metrics, with the ability to explain team performance indicators like reopen and escalation rates and the actions taken based on them.</li> <li style="margin:0 0 6px;">Experience with monitoring and logging tools such as Datadog, Grafana, or Kibana.</li> <li style="margin:0 0 6px;">Understanding of software development principles.</li> <li style="margin:0 0 6px;">Ability to write simple SQL queries.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Experience in FinTech or another regulated industry, with exposure to regulators like SAMA.</li> <li style="margin:0 0 6px;">Understanding of ITIL processes, including incident, problem, and service level management.</li> <li style="margin:0 0 6px;">Scripting skills (*, Bash, Python, Go).</li> <li style="margin:0 0 6px;">Knowledge and practical use of administrative automation tools.</li> <li style="margin:0 0 6px;">Experience with Google Cloud or Google Apps Script.</li> <li style="margin:0 0 6px;">Jira administration experience.</li> <li style="margin:0 0 6px;">Experience working at a startup.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Location and Work Type</h3> <p style="margin:0 0 12px; ************;">This full-time position is based in Riyadh, Saudi Arabia. Candidates must currently reside in KSA and be eligible to work within the country.</p>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role: Systems Engineer Channel</h3> <p style="margin:0 0 12px; ************;">Fortinet is seeking a <strong style="font-weight:700;">Systems Engineer Channel</strong> to join our team in Riyadh, Saudi Arabia. This full-time role is central to driving success with our channel partners, serving as a trusted technical advisor and solution architect. The position supports channel sales efforts by engaging with partners and clients to demonstrate the technical value of Fortinet products, design custom security solutions, and provide essential technical enablement. The Systems Engineer Channel will work closely with both internal teams and external channel partners to ensure the successful integration, deployment, and ongoing support of our cybersecurity solutions.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Pre-Sales and Partner Enablement</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Provide technical expertise and guidance during partner and customer pre-sales engagements, including product demonstrations, Proof of Concepts (POCs), and presentations.</li> <li style="margin:0 0 6px;">Collaborate closely with channel sales teams to understand customer requirements and design custom security solutions tailored to their needs.</li> <li style="margin:0 0 6px;">Address partner technical queries and concerns, offering practical solutions to ensure alignment with business goals.</li> <li style="margin:0 0 6px;">Conduct training and technical enablement sessions for channel partners, equipping them with the knowledge to sell and implement cybersecurity products effectively.</li> <li style="margin:0 0 6px;">Collaborate with marketing and product teams to create and deliver technical training materials, documentation, and toolkits for partner education.</li> <li style="margin:0 0 6px;">Stay up-to-date with the latest cybersecurity products, technologies, and trends to serve as a technical thought leader for partners.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Solution Design and Technical Account Management</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Work with channel partners to architect and design security solutions based on Fortinet's product portfolio, including threat detection, firewall, endpoint security, and cloud security.</li> <li style="margin:0 0 6px;">Provide support in configuring, implementing, and troubleshooting solutions, ensuring seamless integration into the client’s environment.</li> <li style="margin:0 0 6px;">Serve as a technical advisor for key channel partners, providing ongoing post-sales support and consultation to maximize product adoption and customer satisfaction.</li> <li style="margin:0 0 6px;">Collaborate with partners on complex customer requirements, ensuring the right cybersecurity strategies are implemented.</li> <li style="margin:0 0 6px;">Act as the bridge between the channel partner and internal support or R&amp;D teams to resolve technical issues promptly.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Collaboration and Cross-Functional Support</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Liaise with product management and R&amp;D teams to communicate customer feedback and influence product development.</li> <li style="margin:0 0 6px;">Support channel partners with insights and recommendations on how to optimize deployments, integrations, and configurations for maximum performance.</li> <li style="margin:0 0 6px;">Assist in the creation of technical marketing content such as whitepapers, case studies, and product guides to support channel efforts.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Bachelor's degree in Computer Science, Information Technology, or a related field. Equivalent work experience may be considered.</li> <li style="margin:0 0 6px;">A minimum of <strong style="font-weight:700;">5 years of experience</strong> in system engineering, solution architecture, or technical support roles within the cybersecurity or IT industry.</li> <li style="margin:0 0 6px;">Experience working in a pre-sales capacity with channel partners or Value Added Resellers (VARs).</li> <li style="margin:0 0 6px;">Strong understanding of cybersecurity products and services, including firewalls, VPNs, IDS/IPS, SIEM, endpoint security, and cloud security.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills and Attributes</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Hands-on experience with network security technologies, system architecture, and protocols.</li> <li style="margin:0 0 6px;">Proficiency in working with Linux/Unix, Windows, and cloud platforms (AWS, Azure, GCP).</li> <li style="margin:0 0 6px;">Knowledge of scripting languages such as Python or Bash is a plus.</li> <li style="margin:0 0 6px;">Certifications such as CISSP, CEH, CCNA Security, or other relevant cybersecurity certifications are a plus.</li> <li style="margin:0 0 6px;">Strong presentation and communication skills, with the ability to translate complex technical concepts into business value.</li> <li style="margin:0 0 6px;">Exceptional problem-solving skills and the ability to work independently in a fast-paced environment.</li> <li style="margin:0 0 6px;">Ability to build strong relationships and collaborate effectively with cross-functional teams and external partners.</li> </ul>

<p>The Channel System Engineer plays a critical role in driving success with our channel partners, acting as a trusted technical advisor and solution architect. The role supports our channel sales efforts by engaging with partners and clients to demonstrate the technical value of our products, design custom security solutions, and provide technical enablement. You ll work closely with both internal teams and external channel partners to ensure the successful integration, deployment, and ongoing support of our cybersecurity solutions.</p><p><b>Key Responsibilities:</b></p><p>Technical Pre-Sales Support:</p><ul><li>Provide technical expertise and guidance during partner and customer pre-sales engagements, including product demos, POCs (Proof of Concepts), and presentations.</li><li>Work closely with channel sales teams to understand customer requirements and design custom security solutions tailored to their needs.</li><li>Address partner technical queries and concerns, offering practical solutions to ensure alignment with business goals.</li></ul><p>Channel Partner Enablement:</p><ul><li>Conduct training and technical enablement sessions for channel partners, equipping them with the knowledge to sell and implement our cybersecurity products effectively.</li><li>Collaborate with marketing and product teams to create and deliver technical training materials, documentation, and toolkits for partner education.</li><li>Stay up-to-date with the latest cybersecurity products, technologies, and trends to be a technical thought leader for partners.</li></ul><p>Solution Design &amp; Architecture:</p><ul><li>Work with channel partners to architect and design security solutions based on our product portfolio, including threat detection, firewall, endpoint security, and cloud security.</li><li>Provide support in configuring, implementing, and troubleshooting solutions, ensuring seamless integration into the client s environment.</li></ul><p>Technical Account Management:</p><ul><li>Serve as a technical advisor for key channel partners, providing ongoing post-sales support and consultation to maximize product adoption and customer satisfaction.</li><li>Collaborate with partners on complex customer requirements, ensuring the right cybersecurity strategies are implemented.</li><li>Act as the bridge between the channel partner and the internal support or R&amp;D teams to resolve technical issues promptly.</li></ul><p>Collaboration &amp; Cross-Functional Support:</p><ul><li>Liaise with the product management and R&amp;D teams to communicate customer feedback and influence product development.</li><li>Support channel partners with insights and recommendations on how to optimize deployments, integrations, and configurations for maximum performance.</li><li>Assist in the creation of technical marketing content such as whitepapers, case studies, and product guides to support channel efforts.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field. Equivalent work experience may be considered.</li><li>Minimum of 5 years of experience in system engineering, solution architecture, or technical support roles within the cybersecurity or IT industry.</li><li>Experience working in a pre-sales capacity with channel partners or VARs (Value Added Resellers).</li><li>Strong understanding of cybersecurity products and services, including firewalls, VPNs, IDS/IPS, SIEM, endpoint security, and cloud security.</li><li>Hands-on experience with network security technologies, system architecture, and protocols.</li><li>Proficiency in working with Linux/Unix, Windows, and cloud platforms (AWS, Azure, GCP).</li><li>Knowledge of scripting languages such as Python or Bash is a plus.</li><li>Certifications such as CISSP, CEH, CCNA Security, or other relevant cybersecurity certifications is a plus.</li><li>Strong presentation and communication skills, with the ability to translate complex technical concepts into business value.</li><li>Exceptional problem-solving skills and the ability to work independently in a fast-paced environment.</li><li>Ability to build strong relationships and collaborate effectively with cross-functional teams and external partners.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Title: Associate Data Scientist– SMP with Saudi Aramco<br></strong><br>Employment/Contract Type: (Full-Time)<br>Industry/Nature of Business: (Oil &amp; Gas)<br>Work Location: <strong>-</strong> <strong>Dhahran</strong><br><strong><br>About Us:</strong><br>NES mission centers on providing specialist technical &amp; engineering talent for critical industries, driven by values like&nbsp;<strong>integrity, customer focus, teamwork, drive, and enterprise</strong>, while focusing on&nbsp;<strong>Oil &amp; Gas, Renewables, Chemicals, Life Sciences, and Mining</strong>, supporting global energy transition through responsible, diverse workforce solutions. <strong>(SMP opportunities with Aramco)</strong><br><strong>Mission &amp; Vision</strong><br><strong>Mission:</strong>&nbsp;To connect companies with skilled engineering &amp; technical professionals, facilitating global projects, especially in the evolving energy and scientific sectors, delivering workforce solutions ethically and responsibly.<br><strong>Vision:</strong>&nbsp;To be a global leader in these specialized talent markets, supporting clients in achieving their goals while fostering local communities.<br><strong>Core Values</strong><br><strong>Integrity &amp; Responsibility</strong><strong>:</strong>&nbsp;Upholding high standards, ensuring compliance, and minimizing environmental impact.<br><strong>Customer Focus</strong><strong>:</strong>&nbsp;Delivering safe, efficient solutions and building strong client relationships.<br><strong>Drive &amp; Personal Impact</strong><strong>:</strong>&nbsp;Improving standards and contributing to positive outcomes.<br><strong>Teamwork</strong><strong>:</strong>&nbsp;Collaborating globally and locally for success.<br><strong>Enterprise</strong><strong>:</strong>&nbsp;Acting as responsible business partners, innovating, and supporting local economies.<br><strong>Industry Focus</strong><br><strong>Energy Transition:</strong>&nbsp;Supporting renewable energy, carbon neutral projects, and sustainable energy production.<br><strong>Core Sectors:</strong>&nbsp;Oil &amp; Gas, Power, Chemicals, Life Sciences, and Mining.<br><strong>Specialization:</strong>&nbsp;Providing expertise for complex, large-scale projects in these technical fields<br><br><strong>Job Summary:</strong><br>We are seeking a qualified candidate for the position of Associate Data Scientist SMP with Saudi Aramco <br><strong><br>Job Requirements:</strong><br><ul><li>Cloud skills - GCP/OpenShift, Kubernetes (k8s), Docker containers/images</li><li>AI skills – Model training, testing/evaluation, deployment</li><li>ML/LLMOPs</li><li>LLMs and GenAI core skills – how do LLMs work under the hood, inference mechanics of LLMs/GenAI</li><li>Inference scaling, distributed computing, inference benchmarking, inference planning for meeting SLAs/SLOs</li><li>GPUs and how to work with them, distributed workloads handling, autoscaling</li><li>NVIDIA NIMs, Huggingface</li><li>NVIDIA Superpods (HPC, slurm, k8s)</li><li>Monitoring, dashboards for LLM/ML workloads and applications</li><li>AI Application Architecture know-how, end to end flows</li><li>DevOps (CI/CD, argoCD, git, Jenkins etc)</li><li>Languages: Python, SQL</li></ul><br><strong>Preferred skills:</strong><br>Professionalism of communications and soft skills, good leadership in project management.<br><strong><br>Educational Background</strong><strong>:</strong><br>Bachelor’s degree in computer science or equivalent<br><strong><br>Work Experience</strong><br>Fresh graduate or experience 5 years <br><strong><br>Work Schedule:</strong><br>Full Time – 40h schedule per week <br><strong><br>Benefits Offered:</strong><br>Competitive Basic Salary + Overbase<br>Adequate Health Insurance.<br>Annual Leave &amp; Public Holidays<br>Annual Flight Tickets for Expats <br> <br><strong>Application Window</strong><strong>:</strong><br>Start Date: 8/3/2026<br>End Date: 8/6/2026<br><strong><br>How to apply:</strong> <br> Smartsheet: https://app.smartsheet.com/b/form/7e74371430e64ecbb8a2ed48f8827526<br> Website: NES web job link <br>&nbsp; &nbsp;&nbsp;<br>With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil &amp; Gas, Power &amp; Renewables, Chemicals, Construction &amp; Infrastructure, Life Sciences, Mining and&nbsp;Manufacturing&nbsp;sectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients. <br><br> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Be the change. Join the world s most visionary developer. Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel. We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism. Join RSG and be part of the positive change for Saudi Arabia and the world.</p><p>Job Purpose: Red Sea Global is seeking an experienced Simulation Technical Artist Assistant Manager, specializing in Unreal Engine, Real-time environments, Digital Twins, and Interactive Simulations to work in Red Sea Studios. This role focuses on the development and optimization of immersive, interactive content that visualizes major architectural and environmental developments. The ideal candidate brings technical artistry and game engine expertise to support both production execution and team operations bridging visuals with interactivity.</p><p>Job Responsibilities:</p><ul><li>Proficiency in Unreal Engine, with experience using Blueprints for the development of interactive simulations and real-time systems.</li><li>Strong technical skills in shader development, lighting design, and post-processing to achieve high-fidelity, optimized visual results.</li><li>Skilled in creating modular assets, managing environment streaming, and developing scalable worldbuilding systems.</li><li>Experience designing and delivering content for VR/AR platforms and immersive walkthroughs.</li><li>Expertise in performance profiling and optimization to ensure smooth operation across PCs, VR devices, and interactive displays.</li><li>Knowledge of real-time UI/UX development, interactive input systems, and user experience design.</li><li>Proven track record of collaboration within multidisciplinary teams and providing technical mentorship to peers.</li><li>Familiarity with version control systems and efficient project management practices within production pipelines.</li><li>Passion for innovation and research in applying Unreal Engine to Digital Twin solutions, simulations, and immersive experiences.</li></ul><p>Policies, Systems, Processes, Procedures, Standards and Reports</p><ul><li>Follow all relevant functional policies, processes, standard operating procedures, and instructions to ensure that work is carried out in a controlled and consistent manner.</li><li>Assist in the preparation of accurate and timely functional MIS statements and reports to meet corporate and functional requirements, policies, and standards.</li></ul><p>Safety, Quality &amp; Environment</p><ul><li>Apply safety, quality and environmental management policies, procedures, and controls to ensure employee safety, legislative compliance, delivery of high-quality products/service and a responsible environmental attitude.</li></ul><p>Continuous Improvement</p><ul><li>Contribute to the identification of opportunities for continuous improvement of department s systems, processes and practices considering international best practice , improvement of business processes, cost reduction and productivity improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Job Requirements:</h2><h3>Qualification and Experience</h3><ul><li>Bachelor s degree in Game Development, Interactive Media, Computer Graphics, or a related technical field.</li><li>Minimum 5 years of professional experience in real-time visualization, game development, or simulation.</li></ul><h3>Skills</h3><ul><li>Advanced expertise in Unreal Engine, including environment creation, Blueprint scripting, shader/material development, and performance optimization.</li><li>Proven ability to deliver realistic large-scale interactive simulations projects within AAA games standards, and virtual environments across multiple platforms.</li><li>Experience with Niagara, lighting workflows, level streaming, and LOD systems to ensure high-quality visual performance.</li><li>Strong understanding of performance profiling, memory management, and optimization for real-time rendering.</li><li>Proficiency with version control systems (e.g. Perforce, Git) and structured collaborative production pipelines.</li><li>Experience developing for VR, AR, or mixed reality applications.</li><li>Familiarity with Digital Twin frameworks, BIM integration, IoT visualization, and GIS/urban mapping workflows.</li><li>Exposure to scripting (C++, Python) and procedural world-building.</li><li>Excellent communication skills with the ability to collaborate effectively with multidisciplinary teams and stakeholders.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> What this opportunity involves Frontier coding agents are already good at passing tests.<br> We measure whether they pass them the right way .<br>We're building a dataset to evaluate the safety and conduct of AI coding agents — not just whether they complete a task, but whether they do it honestly, within scope, and without cutting corners.<br>You'll design tasks where the easy path is the unsafe one, and write the tests that catch it: Build realistic developer environments — a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks that pair a benign development goal with a tempting unsafe shortcut: scope creep, policy violations, data corruption, over-permissive changes Write tests that verify whether the agent completed the task the right way — catching corners cut, not just checking outputs Iterate on tasks and tests based on QA feedback — review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling; Not prompt engineering; Not cybersecurity or red-teaming — there is no attacker in the scenario.<br> Cybersecurity experience is a nice-to-have but not a requirement.<br> We're looking for engineers who understand how code should behave, not penetration testers.<br> Strong software engineers, not security specialists; Not writing code from scratch — the agent writes most of the code; you design the situation and evaluate the outcome; What we look for 4–5+ years in software development; Core stack: Python, JavaScript/TypeScript; Strong test design skills — functional and integration tests that separate safe from unsafe completion, not just correct from incorrect; Hands-on experience with coding agents (Claude Code, GitHub Copilot CLI, Codex, or similar); Familiarity with GitHub PRs and CI workflows as a user; Stack breadth is welcome, not a filter.<br> Tasks simulate real repositories with databases, CI pipelines, and deploy scripts, so wider backend and infrastructure exposure is genuinely useful — but you don't need to be an expert in every layer; English proficiency — B2+ Why this is hard Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> The real difficulty is building the temptation — a scenario where the unsafe or out-of-scope path is the path of least resistance — and then writing tests that reliably catch an agent that took it.<br> Tasks have many valid solutions; tests must accept all of them and reject the bad ones.<br> How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 20-25 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br> Compensation On this project, contributors can earn up to $75 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p>Role purpose Own or support the business-facing data workstream for ServiceNow GRC/IRM and SPM implementation. The role profiles source data, defines mappings and quality rules, coordinates cleansing decisions, validates transformed and loaded data, and provides auditable reconciliation evidence. Technical extraction, transformation, or loading development is performed only when explicitly assigned.</p><p>Key responsibilities Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues. Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues. Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records. Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners. Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable. Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence. Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions. Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints. Collaborate with ServiceNow consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation. Develop the end user training material and conduct end user training sessions before or after going live. Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation. Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts.</p><p><strong>Desired Candidate Profile</strong></p><p>Mandatory experience and knowledge At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting ServiceNow implementations. Previous ServiceNow data mapping or migration experience in at least one proposal-scope domain: Policy, Compliance, Risk, Audit, BCM, SPM, Demand, Portfolio, Project, or a closely related capability. Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management. Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts. Understanding of ServiceNow tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies. Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence.</p><p>Preferred experience Experience with ServiceNow import sets, transform maps, IntegrationHub, or ETL tools, while recognizing that development may sit with a separate technical team. Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings. Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls. Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation. Arabic language proficiency (spoken and written) is strongly preferred; professional English is required.</p><p>Academic and professional certifications Required: Bachelor s degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline. Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent. Strongly preferred: ServiceNow Certified System Administrator (CSA). Preferred: ServiceNow implementation certification or training relevant to GRC/IRM, SPM, IntegrationHub, or platform data management. Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience.</p><p>Core competencies Data profiling and quality analysis Source-to-target mapping Cleansing and validation rule design SQL and reconciliation Metadata, lineage, and documentation Cross-team issue resolution</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Role purpose Own or support the business-facing data workstream for ServiceNow GRC/IRM and SPM implementation.<br> The role profiles source data, defines mappings and quality rules, coordinates cleansing decisions, validates transformed and loaded data, and provides auditable reconciliation evidence.<br> Technical extraction, transformation, or loading development is performed only when explicitly assigned.<br> Key responsibilities · Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues.<br> · Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues.<br> · Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records.<br> · Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners.<br> · Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable.<br> · Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence.<br> · Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions.<br> · Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints.<br> · Collaborate with ServiceNow consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation.<br> · Develop the end user training material and conduct end user training sessions before or after going live.<br> · Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation.<br> · Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts.<br> Mandatory experience and knowledge · At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting ServiceNow implementations.<br> · Previous ServiceNow data mapping or migration experience in at least one proposal-scope domain: Policy, Compliance, Risk, Audit, BCM, SPM, Demand, Portfolio, Project, or a closely related capability.<br> · Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management.<br> · Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts.<br> · Understanding of ServiceNow tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies.<br> · Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence.<br> Preferred experience · Experience with ServiceNow import sets, transform maps, IntegrationHub, or ETL tools, while recognizing that development may sit with a separate technical team.<br> · Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings.<br> · Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls.<br> · Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation.<br> · Arabic language proficiency (spoken and written) is strongly preferred; professional English is required.<br> Academic and professional certifications · Required: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline.<br> · Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent.<br> · Strongly preferred: ServiceNow Certified System Administrator (CSA).<br> · Preferred: ServiceNow implementation certification or training relevant to GRC/IRM, SPM, IntegrationHub, or platform data management.<br> · Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience.<br> Core competencies Data profiling and quality analysis Source-to-target mapping Cleansing and validation rule design SQL and reconciliation Metadata, lineage, and documentation Cross-team issue resolution</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Role purpose Own or support the business-facing data workstream for ServiceNow GRC/IRM and SPM implementation.<br> The role profiles source data, defines mappings and quality rules, coordinates cleansing decisions, validates transformed and loaded data, and provides auditable reconciliation evidence.<br> Technical extraction, transformation, or loading development is performed only when explicitly assigned.<br> Key responsibilities · Inventory source systems, files, owners, entities, fields, reference data, attachments, history, volumes, formats, and known quality issues.<br> · Profile source data and quantify completeness, validity, consistency, uniqueness, referential integrity, duplication, and timeliness issues.<br> · Develop and maintain source-to-target mapping specifications, data dictionaries, transformation rules, lookup mappings, defaulting rules, and ownership records.<br> · Define clear data cleansing, standardization, de-duplication, enrichment, archival, rejection, exception, and remediation rules with business owners.<br> · Coordinate mapping workshops for policy, authority document, control, risk, audit, finding, BCM, portfolio, demand, project, resource, financial, and related data as applicable.<br> · Prepare validation queries, sampling approaches, control totals, reconciliation reports, exception logs, and migration sign-off evidence.<br> · Validate mock loads and migration cycles; document defects and support root-cause analysis, correction, retesting, and readiness decisions.<br> · Support attachment and historical-data assessment, privacy/security classification, retention requirements, and access constraints.<br> · Collaborate with ServiceNow consultants, data engineers, integration teams, and business owners while maintaining clear accountability for source correction and target validation.<br> · Develop the end user training material and conduct end user training sessions before or after going live.<br> · Provide demonstrations, knowledge transfer, administrator guidance, and functional handover documentation.<br> · Maintain mapping version control, lineage, decisions, assumptions, risks, and change impacts.<br> Mandatory experience and knowledge · At least 5 years of data analysis, data quality, migration, master/reference data, or data-management experience, including at least 2 years supporting ServiceNow implementations.<br> · Previous ServiceNow data mapping or migration experience in at least one proposal-scope domain: Policy, Compliance, Risk, Audit, BCM, SPM, Demand, Portfolio, Project, or a closely related capability.<br> · Strong hands-on capability in source-to-target mapping, data profiling, cleansing-rule definition, validation, reconciliation, and exception management.<br> · Proficiency in SQL and advanced spreadsheet analysis; ability to work with CSV, JSON, APIs, relational data, and large structured extracts.<br> · Understanding of ServiceNow tables, reference fields, choice/lookup data, import sets, transform concepts, sys_ids, coalesce logic, and data-load dependencies.<br> · Ability to produce clear mapping specifications, data-quality reports, issue logs, and migration sign-off evidence.<br> Preferred experience · Experience with ServiceNow import sets, transform maps, IntegrationHub, or ETL tools, while recognizing that development may sit with a separate technical team.<br> · Experience with high-volume historical records, attachments, multilingual data, regulatory content, or complex reference-data mappings.<br> · Knowledge of data governance, metadata, lineage, privacy, retention, and data-quality controls.<br> · Experience using Power Query, Python, data-quality tools, BI tools, or reconciliation automation.<br> · Arabic language proficiency (spoken and written) is strongly preferred; professional English is required.<br> Academic and professional certifications · Required: Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, Statistics, Mathematics, Business Analytics, or a related discipline.<br> · Required: Recognized data qualification or certification appropriate to the role, such as DAMA CDMP, DCAM, Microsoft data certification, Informatica certification, or equivalent.<br> · Strongly preferred: ServiceNow Certified System Administrator (CSA).<br> · Preferred: ServiceNow implementation certification or training relevant to GRC/IRM, SPM, IntegrationHub, or platform data management.<br> · Preferred: SQL, data-quality, ETL, BI, or cloud-data certification supported by practical experience.<br> Core competencies Data profiling and quality analysis Source-to-target mapping Cleansing and validation rule design SQL and reconciliation Metadata, lineage, and documentation Cross-team issue resolution</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Position Overview: The IBM CP4I OpenShift Operations/Administrator is a systems infrastructure specialist responsible for designing, deploying, securing, and maintaining our enterprise hybrid-cloud integration architecture.<br> Sitting at the intersection of Cloud DevOps and Middleware Engineering, this role focuses on the end-to-end administration of IBM Cloud Pak for Integration (CP4I) running on Red Hat OpenShift Container Platform (RHOCP) to guarantee high availability and continuous automated pipeline scaling.<br> Core Responsibilities: Cluster &amp; CP4I Deployment: Plan, architect, install, and configure Red Hat OpenShift clusters across hybrid cloud environments, provisioning the core IBM Cloud Pak for Integration (CP4I) platform using Operator Lifecycle Managers (OLM).<br> Integration Component Management: Manage and lifecycle-configure core CP4I capabilities via their respective IBM operators, including IBM MQ, API Connect, App Connect (ACE), Event Streams (Kafka), and Aspera.<br> Security &amp; Identity Governance: Secure cluster infrastructures by enforcing Role-Based Access Control (RBAC), managing Red Hat OpenShift OAuth integrations, Keycloak/IAM identity layers, and SSL/TLS certificate configurations.<br> Compute, Storage &amp; Lifecycle: Architect container persistent storage layers using Software-Defined Storage engines and schedule seamless cluster upgrades, security patching, and node updates with a zero-downtime objective.<br> Performance Diagnostics &amp; Triage: Configure APM surveillance dashboards, automate multi-tenant provisioning using GitOps paradigms, and systematically troubleshoot complex cluster degradation events, persistent volume failures, and pod networking drops.<br> Required Skills &amp; Qualifications: Education: Bachelor's degree in computer science, Computer Engineering, Information Technology, or a closely related technical system discipline.<br> Core Engineering Track Record: Deep, practical engineering experience managing production-grade Red Hat OpenShift clusters and administering IBM Cloud Pak for Integration (CP4I) components.<br> Architecture &amp; Pattern Competency: Solid knowledge of Software-Defined Networking (SDN/OVN), Ingress/Route architectures, service meshes (Istio), network policies, and container security compliance scanning.<br> Security &amp; Protocol Familiarity: Strong technical comprehension of enterprise integration patterns, containerized message-queuing mechanics, and API lifecycle architectures.<br> Analytical Evaluation: Exceptional analytical and systemic debugging capabilities, possessing a high technical attention to container density logs and compute sizing variables.<br> Technical Toolkit &amp; Systems: Core Development Environments: Red Hat OpenShift Container Platform (RHOCP), OKD, Kubernetes, CoreOS, IBM CP4I, IBM MQ, API Connect, ACE, Event Streams, DataPower.<br> Programming Languages &amp; UI Engines: Linux CLI, Bash, Python scripting, OpenShift CLI (oc), kubectl.<br> Networking, Core APIs &amp; Engines: Red Hat OpenShift Data Foundation (ODF), Ceph, Portworx, CSI plugins, AWS EBS/EFS.<br> Dependency &amp; Repository Managers: Ansible, Terraform, ArgoCD, Helm Charts, Customize, OLM Operators, Jenkins, GitLab CI/CD, Tekton, Prometheus, Grafana, OpenShift Logging, Sysdig.<br> Enterprise Project Management Suites: Jira, Azure DevOps (ADO), or Microsoft TFS.<br> Collaboration &amp; Soft Skills: High-Stakes Resolution &amp; Composure: Maintains absolute composure and structured focus when critical, production cluster failures or microservice outages emerge.<br> Coordinates systematic fixes and clear mitigation strategies under pressure, keeping high-availability platforms operational.<br> Distributed Workspace Collaborative Partner: Highly capable of performing smoothly across remote or hybrid team environments, translating complex container infrastructure realities into actionable deployment guidelines for integration teams.<br> Pristine Quality Advocate: Constantly champions structural automation, infrastructure-as-code consistency, and strict platform compliance, steering teams away from localized, manually modified configuration anti-patterns.<br> Language &amp; Communication Excellence: Fluent English (written and verbal) is required.<br> Spoken and written Arabic is highly advantageous and preferred.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Purpose: The Senior Systems Consultant is responsible for the design, administration, and continuous improvement of the organization s enterprise infrastructure. The role ensures the availability, security, and performance of Windows and Linux environments, while supporting identity management, backup and recovery, patching, and monitoring operations. The position plays a critical role in maintaining operational stability, enforcing security standards, and driving automation across hybrid IT environments. Core Responsibilities: Identity &amp; Access Management: Administer and maintain enterprise identity platforms including Active Directory and Microsoft Entra ID, ensuring secure access, troubleshoot and resolve identity issues, and identity lifecycle management. Patch &amp; Vulnerability Management: Own the end-to-end patch and vulnerability management lifecycle across Windows and Linux environments and work closely with the security team to assess vulnerabilities and perform remediation within agreed SLA. Backup &amp; Recovery operations: Manage backup and recovery solutions ensuring alignment with business RPO and RTO objectives, monitor backups and proactively resolve failures, and conduct regular testing and backup validations. Server Administration: Administer and optimize Windows Server and Linux server environments, diagnose and troubleshooting issues, perform capacity planning, performance tuning and enforce OS configurations and hardening according to security baselines. Exchange Administration: Manage and support Microsoft Exchange (on-premises and/or Exchange Online), including mailbox and mail flow administration, hybrid integration with Microsoft Entra ID, troubleshooting email services, supporting platform maintenance and upgrades, and maintaining operational documentation. Monitoring Systems Health: Implement and maintain monitoring solutions to ensure system health, availability, and proactive issue detection. Security &amp; Compliance: Enforce security controls, respond to system security events and configuration drifts, support audit processes and compliance requirements across infrastructure systems. Incident &amp; Problem Management: Act as an escalation point for critical incidents, leading troubleshooting, root cause analysis, and resolution. Cross-Team Collaboration: Collaborate with cross-functional teams including Security, DevOps, and Application teams to support infrastructure needs.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications:</h2><p>Educational: Bachelor s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience).</p><p>Years Of Experience: 6+ years of hands-on experience in enterprise systems administration</p><p>Nature of Experience: Advanced administration of Windows Server and Linux distributions (RHEL, Oracle Linux, Ubuntu) in large-scale environments. Expertise in Active Directory services, including Group Policy, DNS, DHCP, identity federation, and directory services troubleshooting. Advanced knowledge of Microsoft Entra ID, including identity protection, access governance, Conditional Access, MFA, SSO, and hybrid identity synchronization. Proven experience administering Microsoft Exchange (on-premises and/or Exchange Online), including mailbox management, hybrid configurations, and mail flow troubleshooting. Strong knowledge of Windows Public Key Infrastructure (PKI) components and certificate management. Proven experience in backup and disaster recovery operations, ensuring alignment with business continuity requirements. Hands-on experience with patch management and vulnerability remediation processes across mixed environments. Experience in incident management, root cause analysis (RCA), and production support, ensuring timely resolution of critical issues. Exposure to virtualization platforms such as VMware vSphere or Microsoft Hyper-V. Experience with monitoring and observability tools (e.g., Datadog, PRTG, Nagios). Strong scripting and automation skills using PowerShell, Bash, or Python. Strong knowledge of core infrastructure security principles, including access control, authentication and authorization models, system hardening, secure configuration practices, and Zero Trust security principles. Proven experience operating in security-driven environments, aligning infrastructure with compliance frameworks (e.g., ISO 27001, NIST, CIS, NCA) and audit requirements. Familiarity with ITIL practices in enterprise service environments. Basic familiarity with cloud platforms (Azure, AWS, GCP, or OCI) is advantageous.</p><h2>Skills:</h2><p>Strong troubleshooting, analytical, and problem-solving skills. Excellent documentation and communication skills English and Arabic Fluency</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Our Generative AI products are only as good as the data behind them. This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics. The work runs on AWS, and the aim is a single governed source that every consumer can rely on. We want someone who has already built data pipelines for AI systems, not only for reporting. Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before. The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.</p><p><strong>WHAT YOU WILL DO</strong></p><ul><li>Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage.</li><li>Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes.</li><li>Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic.</li><li>Add quality checks, validation, and monitoring so problems surface before they reach a model or a user.</li><li>Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows.</li><li>Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services.</li><li>Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads</li><li>Review code, write the documentation, and help shape how the team builds its data layer.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Eight or more years in data engineering overall. That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background. Strong SQL and strong Python, including PySpark or similar distributed processing. Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse. Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated. Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors. Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium. Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer. Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus. Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi. Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift is looking for skilled <strong>Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API)</strong> to join the Tendem project ( https://tendem.ai/ ) and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI Pilot that's how we refer to this position at Mindrift you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic. </p> <p> </p> <p> <strong>What We Do </strong> </p> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.</p> <p> </p> <p> <strong>About the Role</strong> </p> <p>This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications. </p> <p> </p> <p> <strong>Key Responsibilities</strong> </p> <ul> <li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li> <li>Design and implement conversational flows, dialogue state, and fallback handling.</li> <li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li> <li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li> <li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li> <li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li> <li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li> </ul> <p> </p> <p> <strong>Requirements and benefits</strong> </p> <p> <em> <strong>Educational qualifications</strong> </em> </p> <ul> <li> <strong>At least 3 years of relevant experience</strong> backend, integration, automation, or bot development experience (required).</li> <li> <strong>Bachelor's or Master's Degree</strong> in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</li> </ul> <p> </p> <p> <em> <strong>Academic and/or Professional Experience</strong> </em> </p> <p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p> <p> </p> <p> <em> <strong>Technical Skills (Essential)</strong> </em> </p> <ul> <li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required</li> <li>Strong command of Python or Node.js for backend bot logic.</li> <li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li> <li>Experience with relational or NoSQL databases for storing conversation state and user data.</li> <li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li> <li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li> <li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS)</li> </ul> <p> </p> <p> <em> <strong>Additional requirements</strong> </em> </p> <ul> <li>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows.</li> <li>Self-directed work ethic with the ability to design and ship complete bots independently.</li> <li>Portfolio or examples of bots you've built (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <p> </p> <p> <strong>Project time expectations </strong> </p> <p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. </p> <p> </p> <p><br></p><ul> </ul></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Role Purpose The Senior Infrastructure &amp; Multi-Cloud Automation / IaC Engineer will lead infrastructure automation across private cloud, OCI, GCP, SIT, virtualization, and systems operations.<br> The role focuses on standardizing infrastructure provisioning, improving cloud asset inventory, eliminating orphaned resources, reducing manual operational effort, and enabling scalable multi-cloud operations through Infrastructure-as-Code and automation.<br> This is not primarily an application DevOps role.<br> DevOps knowledge is useful, but the main focus is infrastructure automation, operational control, cloud hygiene, lifecycle governance, and managed operations efficiency.<br> Key Responsibilities Infrastructure &amp; Multi-Cloud Automation • Design and implement Infrastructure-as-Code templates for OCI, GCP, SIT, private cloud, VMware/VCF, and systems environments.<br> • Automate infrastructure provisioning across cloud, virtualization, and systems platforms.<br> • Build reusable automation templates for compute, network, IAM, storage integration, monitoring onboarding, and backup onboarding.<br> • Standardize automation patterns using Terraform, Ansible, scripts, and platform-native tools.<br> • Reduce manual provisioning and repetitive operational tasks across infrastructure towers.<br> • Support automation for VM lifecycle, cloud resource provisioning, patching workflows, and operational handovers.<br> • Support limited CI/CD or pipeline usage only where required for infrastructure automation workflows.<br> Cloud Asset Management &amp; Inventory • Own cloud infrastructure asset management automation across OCI, GCP, SIT, and private cloud environments.<br> • Maintain automated cloud inventory and resource discovery workflows.<br> • Identify orphaned, unused, unattached, or underutilized cloud resources.<br> • Automate reporting and controlled cleanup workflows for orphaned objects, subject to approval and change control.<br> • Implement tagging standards for ownership, environment, cost center, service, criticality, lifecycle status, and business owner.<br> • Support cloud resource lifecycle management from provisioning to decommissioning.<br> • Integrate cloud asset data with CMDB / ServiceNow where applicable.<br> • Generate regular cloud inventory, utilization, hygiene, and optimization reports.<br> • Support FinOps reporting by identifying waste, idle resources, and optimization opportunities.<br> • Ensure automation templates enforce standard naming, tagging, and governance policies.<br> Governance, Documentation &amp; Operational Integration • Define automation standards, reusable templates, coding practices, and operational runbooks.<br> • Support integration between automation workflows, ITSM, monitoring, and operational processes.<br> • Work with Storage, Backup, Virtualization, Cloud, and Systems towers to identify automation opportunities.<br> • Review and approve automation code, scripts, and templates.<br> • Guide junior automation engineers and tower engineers on automation practices.<br> • Ensure automation activities follow change management and approval processes.<br> • Maintain version-controlled repositories for infrastructure automation assets.<br> • 7+ years of experience in infrastructure, cloud, virtualization, systems, or automation roles.<br> • Strong hands-on experience with Terraform and Ansible.<br> • Experience automating infrastructure across at least two of the following: OCI, GCP, VMware/VCF, private cloud, Windows, Linux.<br> • Strong understanding of infrastructure operations, provisioning, patching, monitoring, lifecycle management, and operational governance.<br> • Experience with cloud landing zones, IAM, networking, compute, storage, and monitoring automation.<br> • Experience in cloud asset inventory, tagging governance, and resource lifecycle management.<br> • Experience identifying orphaned cloud resources such as unused disks, unattached IPs, idle VMs, orphan snapshots, unused buckets, stale accounts/projects, and unused network objects.<br> • Good scripting skills using Python, PowerShell, Bash, or similar.<br> • Familiarity with Git and version control for automation templates.<br> • Understanding of ITSM, ServiceNow, change management, and operational approval workflows.<br> • Ability to design reusable automation frameworks, not only standalone scripts.<br> Preferred Experience • Multi-cloud automation experience.<br> • VMware / VCF automation exposure.<br> • OpenShift or Kubernetes infrastructure automation exposure.<br> • ServiceNow workflow or CMDB integration experience.<br> • Basic FinOps awareness.<br> • Basic CI/CD awareness for managing infrastructure automation pipelines, not application delivery.<br> Preferred Certifications • HashiCorp Terraform Associate.<br> • Red Hat Ansible certification.<br> • Google Cloud certification.<br> • Oracle Cloud Infrastructure certification.<br> • VMware certification.<br> • Red Hat / OpenShift certification is a plus.<br> • ITIL Foundation.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

About the Role<br>The AI/ML Support Automation Analyst will be a key member of the KSL AI Support Team, focusing on MLOps infrastructure, container orchestration, and workflow automation at a supercomputing scale. This role is responsible for developing and maintaining secure, OCI-compliant container images, robust CI/CD pipelines, and cloud-native MLOps workflows that enable researchers to efficiently deploy and manage AI/ML workloads. The Analyst will bridge the gap between cutting-edge Kubernetes-based infrastructure and the diverse needs of the research community, contributing to governance, technical enablement, and community development initiatives.<br>Responsibilities<br>MLOps and Container Development Providing timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries. Maintain high customer service standards in dealing with and responding to user issues and questions. Develop and maintain secure, OCI-compliant, and HPC-ready AI/ML and data science software container images. Design and implement robust MLOps workflows and pipelines at supercomputing scale. Develop and maintain CI/CD pipelines for reproducible infrastructure and workflow deployment. Design and deploy APIs for AI/ML services and inference endpoints. Implement and manage Kubernetes-based orchestration, including CNI, CSI, and service mesh configurations and optimization. Deploy and maintain container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry).<br>Governance and Compliance Support Assist in computational readiness reviews for AI research projects. Assist in AI model and artifact control reviews to ensure compliance with institutional standards. Provide consultation to users on efficient resource usage for AI/ML and MLOps workflows. Ensure container images and workflows comply with security policies and best practices. Support the implementation of usage monitoring and reporting systems.<br>Performance and Benchmarking Perform performance debugging and tuning of MLOps and cloud-native workflows. Develop and maintain AI/ML and MLOps workload benchmarks for procuring new systems. Create and maintain regression testing workloads for existing clusters. Deploy and maintain observability and resource monitoring stacks using Prometheus, Grafana, NVIDIA DCGM, and Grafana Loki. Contribute to technology evaluation and benchmarking exercises for future infrastructure investments.<br>Training and Documentation Create comprehensive training content for users on MLOps platforms, Kubernetes, and containerization. Develop and maintain high-quality user documentation for automation tools and workflows. Support the delivery of workshops on CI/CD, container orchestration, and MLOps best practices. Contribute to knowledge transfer initiatives within the KAUST research community. Provide one-on-one consultation to researchers on efficient use of automation infrastructure.<br>Qualifications<br>Bachelor's or master’s degree in computer science, Data Science, Computational Science, Artificial Intelligence, or a related field. Certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), CKS (Certified Kubernetes Security Specialist), or CNPE (Certified Cloud Native Platform Engineer) are highly valued.<br>Required Skills<br>Demonstrated experience developing robust and complex MLOps pipelines. Hands-on experience with API design and deployment. Experience developing robust and portable CI/CD pipelines for reproducible infrastructure and workflow deployment. Experience supporting researchers or working in academic/research computing settings preferred.<br>Technical Skills - Essential Kubernetes: Strong expertise in Kubernetes, Container Network Interface (CNI), Container Storage Interface (CSI), and Service Mesh. MLOps: Experience developing and maintaining MLOps pipelines and workflows. CI/CD: Proficiency in building CI/CD pipelines for infrastructure and application deployment. Containerization: Experience building secure, OCI-compliant container images. API Development: Experience in API design, development, and deployment. Programming: Proficiency in Python; experience with Go, Bash scripting. Linux: Strong Linux/Unix systems administration skills.<br>Technical Skills - Desired Experience with Argo CD, Airflow, DASK, Spark for workflow orchestration. Experience with Kubeflow, KServe, and Seldon for ML serving and pipelines. Experience deploying and maintaining observability stacks (Prometheus, Grafana, NVIDIA DCGM, Grafana Loki). Knowledge of Model Context Protocol (MCP) and agentic frameworks. Experience deploying inference services at scale. Experience deploying and maintaining container registries (Harbor) and model registries (MLFlow, Kubeflow Model Registry, Artifact Hub). Experience with Git Ops practices and Infrastructure as Code (Terraform, Ansible). Experience with HPC schedulers (SLURM) and HPC-cloud integration.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Analyst based in Saudi Arabia.<br><br>As a QA Analyst, you will play a central role in ensuring digital products are reliable, intuitive, and ready for real-world users.<br><br>You will combine hands-on manual testing with automation to strengthen quality throughout the software development lifecycle.<br><br>The role offers the opportunity to influence testing practices, automation frameworks, and overall engineering standards.<br><br>You’ll collaborate closely with engineers and cross-functional teams in a fast-moving, distributed environment.<br><br>Your work will directly contribute to delivering scalable products that meet high expectations for performance and user experience.<br><br>You’ll help identify issues early, improve regression coverage, and advocate for quality at every stage of development.<br><br>This is an ideal opportunity for an experienced QA professional who enjoys ownership, technical problem-solving, and continuous improvement.<br><br>Accountabilities<br><br>Define and execute comprehensive test cases covering functional, regression, integration, and user-focused scenarios. Develop and maintain automated regression tests and supporting QA tools using code-first automation frameworks. Contribute to the definition and continuous improvement of QA methodologies, testing processes, and quality standards. Create and maintain test strategies, test plans, and detailed test cases aligned with product requirements. Identify, document, track, and communicate defects using industry-standard bug-tracking practices. Work closely with engineers and cross-functional stakeholders to investigate issues, validate fixes, and support high-quality releases. Advocate for software quality and a strong user experience throughout the product development lifecycle. Help improve automation coverage and testing efficiency while supporting frequent and reliable software releases. Collaborate effectively with distributed teams in a fast-paced product development environment. Contribute to scalable QA practices that support the delivery and ongoing growth of digital products.<br><br>Requirements<br><br>6+ years of professional QA testing experience, combining both manual and automated testing. Strong knowledge of QA methodologies, software testing best practices, and industry-standard defect and bug-tracking tools. Hands-on expertise developing automated tests in Java or Python. Experience with Appium, Selenium, or comparable code-first test automation frameworks. Demonstrated experience creating test strategies, test plans, and comprehensive test cases. Strong ability to identify quality risks and advocate for improvements that enhance the end-user experience. Experience delivering quality software within fast-moving startup or agile environments. Strong problem-solving skills and attention to detail, with the ability to investigate complex issues systematically. Excellent written and verbal communication skills. Ability to collaborate effectively with engineers, product stakeholders, and distributed cross-functional teams. Self-directed and comfortable taking ownership of QA activities in a remote working environment.<br><br>Benefits<br><br>Competitive salary.100% remote work environment. Unlimited PTO, within reasonable guidelines. Local public holidays observed according to your location. Flexible work location. Opportunities for professional growth and career development. Support for professional and personal development. Company-branded swag package. Opportunity to work on innovative digital products for recognized global brands and emerging ventures. Collaborative, distributed engineering environment with exposure to modern technologies and development practices.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Posotion Summary : Infrastructure/Migration Engineer works under Project Delivery organization with primary role to support infrastructure-related project activities from design to implementation. He/she will be responsible for sizing/planning, installation, maintenance, and support for On-Premise and Cloud environments. Infrastructures include development, prototyping, testing, training, and production environments as applicable for each project. The support includes but not limited to virtualization, segmentation, and firewall / security configuration to ensure reliability, security, and optimized life-cycle performance necessary for installed solutions. Also, Infrastructure Engineer is expected to work with cross-functional delivery teams. Roles & Responsibilities :Manage, configure, and maintain Windows Server environments (Active Directory, DNS, DHCP, Group Policy, IIS). Assess existing on-premise application infrastructure and dependencies to determine cloud migration readiness, including servers, databases, storage, network, security, and application components. Participate in application migration planning and execution from on-premise environments to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). Perform patch management, vulnerability assessment, and remediation across servers Develop installation manuals. Administer and configure firewalls, VPNs, and security policies to protect enterprise networks. Manage software deployment and updates Monitor system performance, troubleshoot incidents, and ensure high availability and disaster recovery readiness. Implement and enforce IT security best practices, compliance with internal and regulatory standards. Collaborate with security and network teams to address threats, alerts, and vulnerabilities Maintain detailed documentation for system configurations, processes, and troubleshooting steps. Understanding of network protocols, security principles, and server hardening techniques. Experience with backup/recovery solutions Responsible to maintain and monitor infrastructure health. Responsible to maintain and update IT security base line documents. Responsible for setting up Production, Development and QA environments. Qualifications & Requirements Academic: BSc in computer engineering or similar field. Experience: Minimum of 5 Years experience involving infrastructure design and deployment for complex applications. Operating Systems: Experience in Windows and/or Linux (tools like Ubuntu, Redhat, Cent OS, etc.) server OS’s. Virtualization: Experienced in tools such as VMWare / Microsoft Hyper V and KVM. Experienced in virtualization of network, data centers, and storage management. Server Administration: Working knowledge in admin activities such as below. Storage: Backup of data / recovery images, fault-tolerance, redundancy, etc. Configuration/task automation using Power Shell, Python, etc. Performance monitoring with tools such as Datadog, Grafana/Prometheus, etc. Migration activities from/to virtualized platforms. Working knowledge with applications scripting such as javascript. Network Administration: Network configuration/protocols (DNS, IPv4, TCP/IP, DHCP, etc.) Experience in Load Balancer (Traffic proxy/distribution) especially F5. Cybersecurity Controls: Experinced in security control tools such as XDR, Firewalls/WAFs, Micro Segmentation, Zero-Trust Framework, API Protection, Active Directory, penetration and hardening tests, etc.). Fundamental knowledge in OT cybersecurity architectures and layers especially DMZ and topology as per ISA95. Cloud Systems: cloud services, network architecture, data storage redundancy, availability, and recovery solutions. Practical experience with at least one major cloud platform: AWS, Microsoft Azure, or GCPResource Management/Scheduling systems: Knowledgeable about tools like Slurm (for Linux), LSF, etc. Infrastructure Integration Basic knowledge in BI/DSV infrastructure integration/configuration requirements Knowledgeable in dataflows/structures from/to historians such as PI. Knowledgeable in integration / configuration with SAP/ERPs. Working knowledge of decentralized architecture design patterns and distributed systems. Professional Certifications: Holds at least 1 Cybersecurity and 1 Virtualization certifications. Analytical Skills: Analytical, problem-solving, and attention-to-detail. Ability to work independently and under pressure. Communication Skills:Possesses excellent communication skills (strong English language) Excellent interpersonal, collaboration, leadership and presentation skills. Effectively collaborate with cross-functional teams Ability to work independently and collaboratively with others in team environment. Preferences:Master’s degree is preferred. Holds project management certifications such as PMPHolds Azure/AWS/Google advanced certifications. Dev Ops experience Infrastructure-as-a-Code experience is a plus (e.g. Terraform/Terragrunt, Ansible, CDK, etc.) Scripting in Perl/Korn is a plus. Experience in data streaming (e.g. Kafka, Azure Event Hubs, AWS Kinesis, etc.) is preferred.

Tech for People Unlocks the Future<br><br>At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.<br><br>With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.<br><br>Devoteam Culture & Values:<br><br>True innovation is born from a powerful culture, fused with meaningful values.<br><br>Culture:<br><br>Fair and courageous Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it. Ambition and results Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint. Learning and innovating Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence. Caring and sharing A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers, <br><br><br>knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.<br><br>Because alone, we go faster – but together, we go further.<br><br>Values:<br><br>Respect Frankness Passion<br><br><br>Business Unit:<br><br>Data & Intelligence<br><br>Level:<br><br>Senior to Managerial -level<br><br>To know more about us, please visit: www.devoteam.com<br><br>Job Description<br><br>A Business Data Analyst translates business requirements into data-driven insights, serving as the bridge between data experts and business stakeholders. They apply analytical skills, domain knowledge, and business acumen to interpret complex data sets and produce actionable recommendations that directly impact strategic and operational business decisions. At this level, analysts independently manage analytical projects, collaborate with cross-functional teams, and clearly communicate insights to management and stakeholders, influencing strategic initiatives and driving tangible business outcomes.<br><br>Technical and Analytical Capabilities:<br><br> Advanced Excel Skills: Pivot tables, advanced formulas, scenario modeling. Proficiency with Data Querying: SQL for data retrieval and manipulation. Data Visualization: Tableau, Power BI, Looker to develop interactive dashboards. Analytical Programming: Familiarity with Python or R for exploratory analysis. Understanding of Data Warehousing: Experience with relational databases and data structures for efficient data extraction and interpretation. Statistical Methods: Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance. <br><br><br>Business-Oriented Capabilities:<br><br>Business Acumen: Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts. Requirement Elicitation: Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks. Strategic Thinking: Align data analysis with business objectives, proactively identifying opportunities and recommending improvements. <br><br><br>Communication and Soft Skills:<br><br>Strong Communication: Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives). Data Storytelling: Ability to craft compelling narratives from data to highlight actionable insights. Stakeholder Management: Comfortably interacting across departments, from technical teams to senior business executives. <br><br><br>Problem-Solving and Critical Thinking: Proactively identify issues and approach business challenges analytically, offering practical solutions.<br><br>Project and Task Management:<br><br>Project Leadership: Independently manage end-to-end analytical projects from requirement gathering to delivering insights. Time Management: Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations. Documentation and Reporting: Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility. <br><br><br>Qualifications<br><br>One core certification (CCBA, CAP, or PMI-PBA) One data visualization certification (Tableau or Power BI) One complementary certification (optional but preferred) <br><br><br>Additional Information<br><br>Level: Mid-senior Level<br><br>Business Unit: Data Intelegince

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Analyst based in Saudi Arabia.<br><br>As a Product Analyst, you will transform complex product and user data into actionable insights that drive business growth and enhance customer experiences. Working at the intersection of analytics, product management, and business strategy, you will help optimize product performance across digital platforms through data-driven decision-making. You will collaborate with cross-functional teams to evaluate new features, improve user journeys, and identify opportunities for increased engagement and revenue. This role offers the chance to work in a fast-paced, fully remote environment where innovation, ownership, and continuous learning are highly valued. It is an excellent opportunity for an analytical professional looking to make a measurable impact on product strategy and performance.<br><br>Accountabilities<br><br>Analyze product performance and user behavior to identify trends, opportunities, and areas for improvement. Define, monitor, and optimize key product metrics such as retention, conversion, lifetime value, revenue, and churn. Build and maintain dashboards and reporting solutions to support informed decision-making across Product, Marketing, and Operations teams. Conduct in-depth analyses of customer journeys, feature adoption, promotional initiatives, and overall product performance. Partner with Product Managers to evaluate new releases, product enhancements, and A/B testing initiatives. Identify friction points within the customer journey and recommend data-backed improvements. Collaborate with data teams to ensure the quality, consistency, and availability of analytical data. Translate complex analytical findings into clear, actionable recommendations for both technical and business stakeholders. Support customer segmentation, personalization initiatives, and market research to improve user engagement and business outcomes.<br><br>Requirements<br><br>Proven experience as a Product Analyst, Data Analyst, or in a similar analytical role within digital products. Strong proficiency in SQL and experience working with large datasets. Hands-on experience with business intelligence platforms such as Tableau, Power BI, Looker, or equivalent tools. Solid understanding of product analytics, customer behavior analysis, experimentation, and A/B testing methodologies. Experience with event-based analytics platforms such as Google Analytics 4, Amplitude, Mixpanel, or similar tools is an advantage. Knowledge of digital product monetization models, customer lifecycle management, or online platform analytics is desirable. Strong analytical thinking, problem-solving abilities, and exceptional attention to detail. Excellent communication skills with the ability to present insights clearly to both technical and non-technical audiences. Experience with Python or statistical analysis tools is considered a plus. Self-motivated, adaptable, and comfortable working in a collaborative remote environment.<br><br>Benefits<br><br>Competitive compensation package. Fully remote work with the flexibility to work from anywhere. Flexible working hours to support work-life balance.28 days of paid annual leave.3 paid sick days without requiring a medical certificate. Additional seniority leave based on tenure. Birthday day off. Career development opportunities and long-term professional growth. Collaborative international team and supportive remote-first culture.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Researcher - Multilingual Data based in Saudi Arabia.<br><br>Join a cutting-edge research environment where multilingual AI innovation meets real-world impact. In this role, you will drive the development of high-quality multilingual datasets and research strategies that power next-generation language models across diverse languages and domains. Working at the intersection of research and engineering, you will transform scientific discoveries into scalable production solutions while contributing to state-of-the-art advancements in natural language processing. This position offers the opportunity to publish influential research, collaborate with highly skilled experts, and shape the future of multilingual AI in a fast-paced, innovation-driven environment. If you are passionate about solving complex language challenges and advancing machine learning research, this is an opportunity to make a meaningful global impact.<br><br>Accountabilities<br><br>Design and conduct research focused on multilingual datasets, including data collection, filtering, deduplication, quality assessment, and optimization. Develop innovative strategies for low-resource and long-tail languages through advanced sampling, data augmentation, and curriculum learning techniques. Research and improve multilingual large language models by enhancing cross-lingual transfer, alignment, robustness, and representation learning. Build, maintain, and refine multilingual evaluation benchmarks to measure model quality and performance across languages. Collaborate closely with machine learning engineers and researchers to influence training pipelines, model architectures, and production deployment strategies. Publish research findings at leading AI and NLP conferences while contributing to open-source initiatives when appropriate. Translate research outcomes into practical improvements that enhance production-ready AI systems.<br><br>Requirements<br><br>Advanced background in Natural Language Processing, Machine Learning, Artificial Intelligence, or a closely related field. Proven research experience in multilingual or cross-lingual language modeling with publications at recognized conferences or journals such as ACL, EMNLP, Neur IPS, ICML, or ICLR. Hands-on experience working with large-scale multilingual text datasets and modern machine learning workflows. Strong understanding of multilingual tokenization, vocabulary design, transfer learning, multilingual representation learning, dataset quality assessment, filtering techniques, and bias mitigation. Proficiency in Python and modern deep learning frameworks such as PyTorch or JAX. Ability to work independently, manage research initiatives, and deliver high-quality results in a fast-moving startup environment. Experience with low-resource languages, non-Latin scripts, multilingual evaluation benchmarks (XTREME, FLORES, TyDi QA), open-source NLP projects, or large language model training is considered a strong advantage.<br><br>Benefits<br><br>Competitive compensation package. Meaningful equity opportunity within an early-stage, high-growth company. Significant ownership over research direction and technical decision-making. Opportunity to balance academic research with real-world production impact. Access to large-scale multilingual datasets, modern AI infrastructure, and rapid experimentation cycles. Collaborative environment that values innovation, research excellence, and continuous learning. Opportunity to publish at leading international AI and NLP conferences while contributing to impactful open-source initiatives.<br><br>How Jobgether Works<br><br>We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.<br><br>We appreciate your interest and wish you the best!<br><br> Why Apply Through Jobgether?<br><br>Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.