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Please submit your CV in English and indicate your level of English proficiency. <br><br>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.<br><br>What This Opportunity Involves<br><br>We're building competitive-programming problems and their automatic graders (test cases + checkers) used to train advanced AI coding models. You'll create problems, write both correct and deliberately-wrong solutions, and design the tough test cases that catch subtly-broken code. Your work is what makes the training signal trustworthy.<br><br>To apply, share: your competitive-programming handle(s) + current/peak rating, any problem-setting experience, and IOI/ICPC/olympiad history.<br><br>What You'll Do<br><br>Write original algorithmic problems — clear statement, sound constraints, an intended solution;Write correct solutions in C++ and Python;Write realistic wrong solutions (common mistakes) to test against;Build and harden test cases: generators, edge cases, stress and "hacking" tests;Write checkers/interactors (testlib) for problems with more than one valid answer;Confirm the quality bar: correct solutions pass, wrong ones fail, within time limits<br><br>What We Look For<br><br>Strong competitive programming background, shown by a public profile — a Codeforces rating (see levels below), OR an IOI / ICPC / national-olympiad record;Fluent contest C++ (STL, complexity); comfortable writing Python;Can explain why a solution is wrong and build an input that breaks it;Strong written English (C1+)<br><br>Levels (by Codeforces rating, or equivalent olympiad achievement):<br><br>Associate — 1700-2100 (Expert / Candidate Master): easier problems;Expert — 2200-2600 (Master / Grandmaster): harder problems Senior / Reviewer — 2600+ (Int'l Grandmaster) or IOI/ICPC medalist: hardest problems + quality review<br><br>Nice to have<br><br>IOI / ICPC alumni and top competitive programmers especially encouraged to apply;Experience setting or testing problems for real contests (Codeforces rounds, ICPC, national olympiads, online judges);Testlib experience (checkers, validators, generators);Experience creating data for LLM code benchmarks or similar RL / evaluation datasets<br><br>How It Works<br><br>Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid<br><br>Project time expectations <br><br>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. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.<br><br>Compensation<br><br>Paid per accepted task. Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $90/hr. Because payment is per task, a faster pace raises your effective hourly rate.

<h3 >About the Role</h3> <p >Hexaware Technologies Limited is seeking a <strong >DC Engineer Specialist</strong> for a full-time position. This role involves provisioning and configuring Oracle Cloud Infrastructure (OCI) resources, ensuring adherence to approved designs and established landing-zone patterns. The specialist will work with various OCI services, including Compute, Block/Object/FSS Storage, VCN, Load Balancer, DBCS, and ADB.</p> <h3 >Key Responsibilities</h3> <ul > <li >Configure networking components such as VCN, subnets, route tables, security lists/NSGs, gateways, FastConnect/IPSec VPN, and DNS, applying standard tagging, naming, and cost-allocation conventions.</li> <li >Support deployments and releases across various environments utilizing CI/CD pipelines, including OCI DevOps, Jenkins, GitHub Actions, GitLab CI, and Azure DevOps.</li> <li >Author and maintain Infrastructure-as-Code modules (Terraform / OCI Resource Manager) and automation scripts (Ansible, Bash, Python) for recurring tasks like patching, certificate rotation, snapshots, and environment refresh.</li> <li >Monitor platform health and respond to alerts and incidents within defined SLAs using OCI Monitoring, OCI Logging, APM, and enterprise tools such as Prometheus, Grafana, ELK, Datadog, and Dynatrace.</li> <li >Execute routine operations including patching, backups, capacity checks, certificate renewals, and drift remediation, and participate in on-call rotations and change windows.</li> <li >Apply security controls such as IAM policies, MFA, OCI Vault/KMS, encryption, segmentation, and Bastion, and validate guardrails using Cloud Guard, Security Zones, Vulnerability Scanning, and Data Safe.</li> <li >Manage access, including user lifecycle, role assignment, service accounts, and periodic reviews, and support audit and compliance evidence gathering.</li> <li >Assist with workload migration (lift-and-shift, re-platform) to OCI, environment setup, and hypercare, and support application teams deploying onto OCI (Oracle DB, WebLogic, OKE, Functions, API Gateway).</li> <li >Contribute to cost optimization efforts through right-sizing, scheduling, and unused-resource cleanup, and maintain runbooks, configuration records, and operational documentation.</li> </ul> <h3 >Experience and Qualifications</h3> <p >Candidates for this role should possess <strong >0-1 years of relevant experience</strong>. The position requires a foundational understanding of cloud infrastructure principles and a demonstrated ability to work with OCI services and related technologies.</p> <h3 >Technical Skills</h3> <ul > <li >Proficiency in OCI resource provisioning and configuration.</li> <li >Experience with networking concepts (VCN, subnets, route tables, security lists/NSGs, gateways, FastConnect/IPSec VPN, DNS).</li> <li >Familiarity with CI/CD pipelines (OCI DevOps, Jenkins, GitHub Actions, GitLab CI, Azure DevOps).</li> <li >Ability to author Infrastructure-as-Code modules (Terraform / OCI Resource Manager) and automation scripts (Ansible, Bash, Python).</li> <li >Knowledge of monitoring tools such as OCI Monitoring, OCI Logging, APM, Prometheus, Grafana, ELK, Datadog, and Dynatrace.</li> <li >Understanding of security controls including IAM policies, MFA, OCI Vault/KMS, encryption, segmentation, Bastion, Cloud Guard, Security Zones, Vulnerability Scanning, and Data Safe.</li> </ul> <h3 >Work Type</h3> <p >This is a <strong >full-time</strong> position.</p> <h3 >Application Process</h3> <p >Interested candidates are encouraged to apply for this role at Hexaware Technologies Limited.</p>

PTT & MDM Solution Performance Engineer<br>Saudi Arabia | 12-Month Renewable Contract<br>We are looking for an experienced PTT & MDM Solution Performance Engineer to support end-to-end performance analysis, assurance and reporting for Push-to-Talk and Mobile Device Management solutions within a telecom managed services environment. The role requires strong knowledge of PTT and MDM technologies combined with telecom Mobile Core, BSS, charging, analytics and performance assurance experience.<br>Key Responsibilities Perform on-demand, short-term and long-term performance analysis across PTT and MDM solutions. Support Motorola PTT and cloud-based MDM platforms integrated with Mobile Core and BSS environments. Perform service assurance, KPI analysis and technical reporting. Analyse MDM/MTD environments across Android and Windows devices and COTS hardware. Analyse charging configurations, dumps, usage records and CDRs. Perform interface signalling trace analysis for PTT and MDM services. Support integration with CRM, billing and customer care systems. Analyse PTT and MDM nodes in terms of design, configuration, statistics, KPIs and reporting. Support services operating within 4G/5G SA environments. Work with UPM and analytics platforms to support KPIs, reports and service performance processes. Review and audit HLD/LLD designs and translate technical designs into monitoring and reporting requirements. Support service design, business configuration, fleet profiles, roaming programmes, MOP development and end-to-end testing. Build performance management reports, audit reports and business intelligence dashboards. Use SQL, Python, Linux shell, VBA, ENIQ, UPM and BI tools to analyse and visualise service performance. Support the use of AI/ML concepts for anomaly detection and service degradation prediction. Develop improvement proposals for PTT end-user experience and MDM business cases. Support performance and capacity preparation for major events including Ramadan, Hajj, National Day and Founding Day.<br>Technical Requirements Strong PTT and MDM solution experience within telecom environments. Motorola PTT experience. Cloud-based MDM experience. MDM/MTD experience across Android and Windows. Knowledge of mobile security concepts. Strong understanding of telecom charging systems. Experience with prepaid, postpaid and enterprise service models. BSS integration experience covering CRM, billing and customer care. Understanding of 4G/5G SA environments. Experience with HLD, LLD and MOP documentation. Strong performance analysis and KPI reporting capabilities. Experience analysing CDRs, signalling traces and service flows. Hands-on experience with SQL, Python and Linux shell. Exposure to ENIQ, UPM and BI/reporting tools such as Tableau, Power BI or Qlik. Understanding of AI/ML concepts for performance analytics would be relevant.<br>Soft Skills The successful candidate should demonstrate strong analytical and communication skills, ownership, teamwork, cultural awareness and the ability to work effectively under pressure. Fluent English and the ability to produce and present high-quality technical and executive-level reports are important for this position.

<p>We are looking for an experienced Senior Infrastructure Engineer to design, implement, maintain, and optimize enterprise IT infrastructure environments. The ideal candidate will have strong hands-on experience across servers, virtualization, cloud platforms, storage, networking, backup, and infrastructure security , with the ability to troubleshoot complex technical issues and ensure high availability and performance of critical systems.</p><p>Key Responsibilities</p><ul><li>Design, deploy, configure, and maintain enterprise infrastructure environments.</li><li>Manage Windows Server and/or Linux systems, including patching, upgrades, performance tuning, and troubleshooting.</li><li>Administer virtualization platforms such as VMware vSphere/ESXi, Hyper-V, or equivalent technologies .</li><li>Support cloud and hybrid-cloud environments, particularly Microsoft Azure and/or AWS .</li><li>Manage Active Directory, Group Policy, DNS, DHCP, and related Microsoft infrastructure services .</li><li>Configure and maintain enterprise storage, backup, and disaster recovery solutions .</li><li>Support LAN/WAN infrastructure and coordinate with network and security teams when required.</li><li>Monitor infrastructure availability, capacity, and performance and proactively address potential issues.</li><li>Implement infrastructure security standards, access controls, system hardening, vulnerability remediation, and patch management.</li><li>Troubleshoot complex infrastructure incidents and perform root-cause analysis.</li><li>Participate in high-availability, disaster recovery, migration, upgrade, and infrastructure transformation projects .</li><li>Develop and maintain technical documentation, architecture diagrams, procedures, and operational standards.</li><li>Automate routine infrastructure activities using tools such as PowerShell, Bash, Python, or infrastructure automation platforms .</li><li>Provide technical guidance and mentoring to junior engineers.</li><li>Work closely with application, cybersecurity, network, database, and cloud teams to ensure reliable service delivery.</li><li>Follow ITIL-based processes for incident, problem, change, and configuration management.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Information Technology, Engineering , or a related field. 3+ years of experience in IT infrastructure/system engineering, including significant experience in enterprise environments. Strong hands-on knowledge of Windows Server and/or Linux administration . Strong experience with VMware, Hyper-V, or similar virtualization technologies . Good knowledge of Active Directory, DNS, DHCP, Group Policy, and identity/access management . Experience with Azure, AWS, or hybrid-cloud infrastructure . Understanding of enterprise networking concepts including TCP/IP, VLANs, routing, firewalls, VPNs, and load balancing . Experience with enterprise SAN/NAS storage, backup, replication, and disaster recovery solutions . Knowledge of infrastructure monitoring and management tools. Strong understanding of high availability, business continuity, security, and infrastructure best practices . Strong troubleshooting, analytical, and root-cause-analysis skills. Ability to manage multiple priorities and work effectively in business-critical environments. Strong communication and stakeholder-management skills.</p><p>Preferred Qualifications</p><ul><li>Certifications such as Microsoft Azure, AWS, VMware VCP, Red Hat RHCE, Microsoft, Cisco, or ITIL .</li><li>Experience with infrastructure automation using PowerShell, Ansible, Terraform, Python, or Bash .</li><li>Experience supporting large-scale, highly available enterprise environments .</li><li>Knowledge of container technologies such as Docker and Kubernetes is an advantage.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Senior Infrastructure EngineerJob Summary<p>We are looking for an experienced <strong>Senior Infrastructure Engineer</strong> to design, implement, maintain, and optimize enterprise IT infrastructure environments. The ideal candidate will have strong hands-on experience across <strong>servers, virtualization, cloud platforms, storage, networking, backup, and infrastructure security</strong>, with the ability to troubleshoot complex technical issues and ensure high availability and performance of critical systems.</p><br>Key Responsibilities<ul><li>Design, deploy, configure, and maintain enterprise infrastructure environments.</li><li>Manage <strong>Windows Server and/or Linux</strong> systems, including patching, upgrades, performance tuning, and troubleshooting.</li><li>Administer virtualization platforms such as <strong>VMware vSphere/ESXi, Hyper-V, or equivalent technologies</strong>.</li><li>Support cloud and hybrid-cloud environments, particularly <strong>Microsoft Azure and/or AWS</strong>.</li><li>Manage <strong>Active Directory, Group Policy, DNS, DHCP, and related Microsoft infrastructure services</strong>.</li><li>Configure and maintain enterprise <strong>storage, backup, and disaster recovery solutions</strong>.</li><li>Support LAN/WAN infrastructure and coordinate with network and security teams when required.</li><li>Monitor infrastructure availability, capacity, and performance and proactively address potential issues.</li><li>Implement infrastructure security standards, access controls, system hardening, vulnerability remediation, and patch management.</li><li>Troubleshoot complex infrastructure incidents and perform root-cause analysis.</li><li>Participate in <strong>high-availability, disaster recovery, migration, upgrade, and infrastructure transformation projects</strong>.</li><li>Develop and maintain technical documentation, architecture diagrams, procedures, and operational standards.</li><li>Automate routine infrastructure activities using tools such as <strong>PowerShell, Bash, Python, or infrastructure automation platforms</strong>.</li><li>Provide technical guidance and mentoring to junior engineers.</li><li>Work closely with application, cybersecurity, network, database, and cloud teams to ensure reliable service delivery.</li><li>Follow ITIL-based processes for incident, problem, change, and configuration management.</li></ul>Requirements<ul><li>Bachelor’s degree in <strong>Computer Science, Information Technology, Engineering</strong>, or a related field.</li><li><strong>3+ years of experience</strong> in IT infrastructure/system engineering, including significant experience in enterprise environments.</li><li>Strong hands-on knowledge of <strong>Windows Server and/or Linux administration</strong>.</li><li>Strong experience with <strong>VMware, Hyper-V, or similar virtualization technologies</strong>.</li><li>Good knowledge of <strong>Active Directory, DNS, DHCP, Group Policy, and identity/access management</strong>.</li><li>Experience with <strong>Azure, AWS, or hybrid-cloud infrastructure</strong>.</li><li>Understanding of enterprise networking concepts including <strong>TCP/IP, VLANs, routing, firewalls, VPNs, and load balancing</strong>.</li><li>Experience with enterprise <strong>SAN/NAS storage, backup, replication, and disaster recovery solutions</strong>.</li><li>Knowledge of infrastructure monitoring and management tools.</li><li>Strong understanding of <strong>high availability, business continuity, security, and infrastructure best practices</strong>.</li><li>Strong troubleshooting, analytical, and root-cause-analysis skills.</li><li>Ability to manage multiple priorities and work effectively in business-critical environments.</li><li>Strong communication and stakeholder-management skills.</li></ul>Preferred Qualifications<ul><li>Certifications such as <strong>Microsoft Azure, AWS, VMware VCP, Red Hat RHCE, Microsoft, Cisco, or ITIL</strong>.</li><li>Experience with infrastructure automation using <strong>PowerShell, Ansible, Terraform, Python, or Bash</strong>.</li><li>Experience supporting <strong>large-scale, highly available enterprise environments</strong>.</li><li>Knowledge of container technologies such as <strong>Docker and Kubernetes</strong> is an advantage.</li></ul> </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_Nationality"> <b>Nationality</b> </div> <div class="col is-9 p5" data-automation-id="data_Nationality"> Saudi Arabia </div> </div> <div class="row is-m v-align-top t-small bg-mute"> <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>

In a world of possibilities, pursue one with endless opportunities. Imagine Next!<p> </p>At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what s possible.<p> </p> <p> </p> <p> <u> <b>Job Description:</b> </u> </p> <p>Parsons is looking for an amazingly talented <b>Project Controls Data Analyst</b> to join our team! In this role you will integrates the various engineering, scope, budget, scheduling, procurement, construction, and start-up aspects of a small project. May manage a subtask of a larger project or study in accordance with contractual obligations. Responsible for the technical excellence of the engineering functions of the project including coordination of technical disciplines, procurement of materials and equipment, and construction planning assistance. Relocation to the project site may be required during construction and start-up activities.</p> <p> </p> <p> <b>What You'll Be Doing:</b> </p> <p> </p> <p> <b>Reporting &amp; Dashboard Development</b> </p> <ul> <li> <p>Design, develop, and maintain interactive dashboards and reporting solutions using Power BI.</p> </li> <li> <p>Automate recurring project controls reports and performance metrics.</p> </li> <li> <p>Produce executive-level reports highlighting project status.</p> </li> <li> <p>Develop standardized KPIs for program and portfolio reporting.</p> </li> </ul> <p> </p> <p> <b>Schedule &amp; Cost Analytics</b> </p> <ul> <li> <p>Analyze progress trends.</p> </li> <li> <p>Support earned value management (EVM) reporting and analysis.</p> </li> <li> <p>Provide forecasting support.</p> </li> </ul> <p> </p> <p> <b>Business Intelligence &amp; Decision Support</b> </p> <ul> <li> <p>Transform complex datasets into actionable insights for project leadership.</p> </li> <li> <p>Identify trends, risks, opportunities, and performance improvement areas.</p> </li> </ul> <p> </p> <p> <b>Process Improvement &amp; Automation</b> </p> <ul> <li> <p>Develop automated data extraction, transformation, and reporting solutions.</p> </li> <li> <p>Utilize technology (Python and SQL) to streamline data processing and reporting workflows.</p> </li> <li> <p>Improve reporting efficiency through digital tools and innovative analytical techniques.</p> </li> <li> <p>Support digital transformation initiatives within Project Controls.</p> </li> </ul> <p> </p> <p> <b>What Required Skills You'll Bring:</b> </p> <ul> <li> <p>Bachelor s degree in information systems, Data Analytics, Computer Science, Statistics, or a related field.</p> </li> <li> <p>3 7 years of experience in project controls, data analytics, business intelligence, or a related discipline.</p> </li> <li> <p>Experience supporting large-scale construction, infrastructure, engineering, or capital projects is preferred.</p> </li> <li> <p>Experience developing Power BI dashboards and managing project performance reporting.</p> </li> </ul> <p> <br> <b>What Desired Skills You'll Bring:</b> </p> <ul> <li> <p>Tools &amp; Systems</p> </li> <li> <p>Power BI</p> </li> <li> <p>Microsoft Excel</p> </li> <li> <p>Primavera P6</p> </li> <li> <p>Microsoft Project</p> </li> <li> <p>SQL</p> </li> <li> <p>Python</p> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p> </p> <p> </p> <p>We truly invest and care about our employee s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest APPLY TODAY!</p> <p> </p> <p> </p> <p>Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to<span> </span> <span>https://www.parsons.com/fraudulent-recruitment/</span> .</p>

<h3 >About Qualcomm and the Opportunity</h3> <p >Qualcomm is expanding its presence in Riyadh, Saudi Arabia, to bolster its infrastructure across the region. As Saudi Arabia progresses with its digital transformation under Vision 2030, Qualcomm is investing in advanced computing and data centre capabilities to support AI, cloud technologies, and scalable advanced connectivity. This presents an opportunity to contribute to a rapidly growing technology hub. We are seeking a <strong >Machine Learning Engineer Staff level</strong> for our Datacentre AI Engineering team in a full-time capacity in Riyadh.</p> <h3 >Role Overview</h3> <p >The Staff-level ML Applications Engineer will operate with a high degree of autonomy, defining technical goals and scope for assigned problem areas. This role involves leading development efforts from conception through execution, requiring extensive hands-on experience in C++/Python-based AI development within a Linux environment. The successful candidate will demonstrate strong analytical skills, foster effective cross-team collaboration, and mentor other engineers through practical example, maintaining a hands-on, execution-focused approach.</p> <h3 >Key Responsibilities</h3> <ul > <li >Improve and optimize key Deep Learning models on Qualcomm AI 100.</li> <li >Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.</li> <li >Collaborate with internal teams to analyze and optimize training and inference for deep learning.</li> <li >Develop software tools and an ecosystem around the AI SW Stack.</li> <li >Work on Triton, ExecuTorch, Inductor, and TorchDynamo to build abstraction layers for inference accelerators.</li> <li >Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.</li> <li >Optimize the entire deep learning pipeline, including graph compiler integration.</li> <li >Apply knowledge of software engineering best practices.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >5-10 years of professional experience in a relevant engineering role, specifically in AI development.</li> <li >Extensive hands-on experience in C++/Python-based AI development within a Linux environment.</li> <li >Demonstrated ability to define technical goals, scope problem areas, and lead development efforts from conception through execution.</li> <li >Strong analytical skills and a proven ability to collaborate effectively across teams.</li> <li >Experience mentoring and guiding other engineers through practical example.</li> <li >Proficiency with Deep Learning models, frameworks, and optimization techniques.</li> <li >Familiarity with open-source contributions and building software ecosystems around AI stacks.</li> <li >Knowledge of inference accelerators and related technologies such as Triton, ExecuTorch, Inductor, and TorchDynamo.</li> <li >Understanding of workload optimization for multi-SoC and multi-card systems, and deep learning pipeline optimization including graph compiler integration.</li> <li >Adherence to software engineering best practices.</li> </ul> <h3 >Compensation Structure</h3> <p >The compensation package for this full-time position includes a competitive salary, housing and transport allowances, Stock (RSU's), and a performance-related bonus.</p> <h3 >Join Our Team</h3> <p >This role offers an opportunity to contribute to the advancement of AI and data centre capabilities within a global technology leader. We invite qualified candidates to apply.</p>

<h3 >About Agoda and the Role</h3> <p >Agoda, a part of Booking Holdings [NASDAQ: BKNG], is a global travel platform connecting people to destinations and experiences worldwide. With a diverse team operating in offices globally, Agoda leverages technology and data to enhance travel for millions. We are seeking a <strong >Senior/Staff Endpoint Systems Engineer</strong> to join our full-time team based in Bangkok. This role is critical for maintaining and improving end-user experience through advanced engineering and technical ownership.</p> <h3 >Role Overview</h3> <p >This position operates within a high-impact, fast-paced engineering environment, focusing on innovation and deep technical expertise. The Senior/Staff Endpoint Systems Engineer serves as the final technical escalation point for complex, high-impact issues across endpoint systems and infrastructure. The role involves driving root cause analysis, collaborating with internal teams and vendors, and implementing lasting solutions to challenging problems.</p> <h3 >Key Responsibilities</h3> <ul > <li >Act as the highest escalation point for unresolved 1st- and 2nd-level support cases.</li> <li >Perform deep technical troubleshooting for complex OS and hardware issues, including Windows BSODs, driver issues, and hardware failures.</li> <li >Conduct root cause analysis to ensure findings lead to long-term fixes, standards, or automation.</li> <li >Manage and troubleshoot devices using enterprise tooling such as Intune, Configuration Manager, KACE, JAMF, and Altiris.</li> <li >Design and maintain robust deployment, patching, compliance, and security baselines for Windows fleets.</li> <li >Monitor endpoint health and performance using custom platforms, proactively identifying trends and systemic risks.</li> <li >Develop automation and remediation solutions using scripting languages like PowerShell, Python, or Bash.</li> <li >Mentor and coach 1st- and 2nd-level teams, providing guidance during outages and high-severity incidents.</li> </ul> <h3 >Required Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.</li> <li >Minimum of <strong >5 years of hands-on experience</strong> supporting and engineering desktop and endpoint infrastructure.</li> <li >Proven experience operating as a 3rd level escalation engineer.</li> <li >Strong expertise in Windows internals within corporate environments and advanced OS troubleshooting (BSODs, drivers, updates, performance issues).</li> <li >Proficiency with Enterprise Endpoint Management platforms such as Intune, ConfigMgr, KACE, or Altiris.</li> <li >Excellent analytical, communication, and stakeholder management skills.</li> <li >Demonstrated strong sense of ownership, accountability, and customer focus.</li> </ul> <h3 >Preferred Qualifications</h3> <ul > <li >Microsoft 365 Certified: Endpoint Administrator Associate (MD102).</li> <li >Experience querying and analyzing data using SQL, PromQL, or LogQL.</li> <li >Advanced scripting skills, particularly with PowerShell, Python, or Bash.</li> <li >Experience building or enhancing endpoint reliability or telemetry platforms (*, Grafana, Telegraf, Open Telemetry Collector).</li> </ul> <h3 >Working at Agoda</h3> <p >Joining Agoda means working on global-scale endpoint environments where your contributions have direct impact. This role offers the opportunity to operate as a true L3 engineering authority, influencing tooling, standards, automation, and architectural decisions. You will collaborate with engineers in a diverse, international environment, contributing to a highly resilient IT infrastructure.</p>

<p>Job Description: Senior Developer (Vue.js) Position Overview We are seeking an experienced Senior Developer (Vue.js) to design, develop, and deliver scalable, high-performance web applications. The ideal candidate will have strong expertise in Vue.js , modern software development practices, and backend technologies. This role requires close collaboration with cross-functional teams, mentoring junior developers, and contributing to the architecture and continuous improvement of our applications. Key Responsibilities Design, develop, test, and maintain scalable and secure web applications. Build responsive, high-performance user interfaces using Vue.js . Translate business requirements into technical solutions and system designs. Develop and integrate RESTful APIs with frontend applications. Optimize application performance, scalability, and maintainability. Conduct code reviews and ensure adherence to coding standards and best practices. Mentor junior developers and provide technical guidance. Collaborate with Product, QA, UX/UI, and DevOps teams throughout the development lifecycle. Participate in Agile ceremonies, including sprint planning, daily stand-ups, and retrospectives. Contribute to CI/CD pipelines, deployment processes, and continuous improvement initiatives. Evaluate and adopt new technologies, frameworks, and development tools where appropriate.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor s degree in Computer Science, Software Engineering, Information Technology, or a related field. Proven experience as a Senior Software Developer or in a similar role. Strong hands-on experience with Vue.js (Must Have). Proficiency in one or more programming languages such as Java, C#, Python, JavaScript, or TypeScript . Experience with modern development frameworks and technologies such as .NET, Spring Boot, React, Angular, or Node.js . Solid understanding of software development methodologies including Agile, Scrum, or Kanban . Experience working with SQL and/or NoSQL databases. Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) . Experience with version control systems such as Git or SVN . Good understanding of CI/CD pipelines , DevOps practices, and automated deployment processes. Strong experience designing, developing, and consuming RESTful APIs . Demonstrated ability to conduct code reviews and mentor development team members. Excellent analytical, problem-solving, communication, and collaboration skills. Preferred Qualifications Experience with microservices architecture. Knowledge of containerization technologies such as Docker and Kubernetes. Familiarity with automated testing frameworks and best practices. Experience working in enterprise-scale application development environments. Skills Required: Proficiency in one or more programming languages (e.g., Java, C#, Python, JavaScript, TypeScript) Hands-on experience with modern frameworks and libraries (e.g., .NET, Spring, React, Angular, Node.js) Strong understanding of software development methodologies (Agile, Scrum, or Kanban) Experience with databases (SQL and/or NoSQL) Familiarity with cloud platforms (AWS, Azure, or GCP) Expertise in version control systems (Git, SVN) Solid understanding of CI/CD pipelines and DevOps concepts Experience in designing and consuming RESTful APIs Ability to perform code reviews and mentor team members Strong analytical and problem-solving skills Excellent communication and teamwork abilities</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>About Us</strong></p><br><p>Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.</p><br><p>Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.</p><br><p><em><strong>Research sits centrally and serves every vertical at Tamara. We're now expanding the function. The next chapter brings quantitative research, market research, and cultural research fully in-house, so that we can triangulate across methods and produce more comprehensive, decision-ready insights for teams across Tamara.&amp;nbsp;This is a role at the intersection of behavioural data and user research. You'll work alongside qualitative researchers to bring quantitative rigour to how we understand customers, their journeys, and the products they use.</strong></em></p><br><p>The successful candidate will have experience developing analytical solutions and assisting with data-driven decision making, while managing stakeholders across a broad range of functions. Tamara is a high growth startup looking to develop key product success metrics and enhancing decision making through data.&amp;nbsp;</p><br><p><strong>Your Responsibilities</strong></p><br><ul><li>Drive business impact through actionable insights and identifying key opportunities for rapid growth</li><li>Build dashboards that provide accurate and actionable insights</li><li>Work with the data engineering team on the data enrichment needs of the product team</li><li>Work with stakeholders across the business to prioritize projects based on impact and drive delivery</li><li>Developing a process to identify, analyse, and interpret trends or patterns in complex data sets, empower informed decision making for stakeholders</li><li>Ensuring governance and being a steward of good analytical practices throughout the process</li></ul><p><strong>Your Expertise</strong></p><br><ul><li>6+ years of experience in data analytics</li><li>Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science or other analytical field. Graduates from other fields with relevant knowledge and experience are welcome to apply.</li><li>Hands on experience using programming (Python, R) to manipulate large data sets for insights</li><li>Demonstrated proficiency in one or more implementations of SQL (e.g. MySQL, PostgreSQL)</li><li>Display understanding of your domain of interest - Whether its Finance, Risk, or Product</li><li>Experience using Machine Learning tools and techniques in R or Python a plus!</li><li>Experience using one or more data visualization tools (e.g. Tableau, PowerBI, Qlik)</li><li>Experience creating data visualizations and dashboards with Apache Superset a bonus</li><li>Experience in a high-growth startup or unicorn a bonus!</li></ul><p>All qualified individuals are encouraged to apply.</p><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>

Devsinc is looking for a highly skilled <strong>Senior Data Engineer with 4-6 years of professional experience</strong> to design, build, and maintain scalable data pipelines and processing systems that support analytics, data products, and AI/ML capabilities.<br><br>The ideal candidate will have strong hands-on experience with <strong>ETL/ELT pipelines, Python, SQL, Apache Airflow, Apache Spark, and Redis</strong>, along with the ability to develop reliable and maintainable workflows for large, complex, and continuously growing datasets. You will collaborate with Product, Business Intelligence, Data Science, and Engineering teams to deliver production-ready datasets and high-performance data solutions.<br><br><strong>Responsibilities<br><br></strong><ul><li>Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, validation, and delivery. </li><li>Build, schedule, and orchestrate production-grade data workflows using Apache Airflow. </li><li>Develop distributed data-processing jobs using Apache Spark. </li><li>Write efficient, reusable, and maintainable Python code for data processing, automation, and pipeline development. </li><li>Develop and optimize complex SQL queries for data transformation, analysis, and quality validation. </li><li>Design pipelines capable of processing large-scale structured, semi-structured, and unstructured datasets. </li><li>Implement Redis for caching, high-performance data access, and data-intensive application requirements. </li><li>Integrate data from APIs, relational databases, files, third-party providers, and other internal and external sources. </li><li>Implement data validation, monitoring, logging, error handling, alerting, and pipeline observability. </li><li>Optimize pipeline performance, data storage, processing time, and infrastructure costs. </li><li>Develop reusable data-ingestion and transformation frameworks instead of one-off scripts. </li><li>Troubleshoot pipeline failures, performance bottlenecks, and data-quality issues to ensure timely resolution. </li><li>Collaborate with BI, Product, Data Science, and Engineering teams to deliver reliable, production-ready datasets. </li><li>Establish and maintain data-engineering standards, technical documentation, and development best practices. <br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field. </li><li> 4-6 years of professional experience in Data Engineering or a closely related role. </li><li> Strong hands-on experience designing and implementing production-grade ETL/ELT pipelines. </li><li> Strong proficiency in Python for data processing, automation, and data-engineering workflows. </li><li> Advanced SQL skills and a strong understanding of relational databases. </li><li> Practical production experience with Apache Airflow for workflow orchestration. </li><li> Hands-on experience with Apache Spark and distributed data processing. </li><li> Strong understanding of data modelling, transformation patterns, and data-pipeline architecture. </li><li> Experience with Redis, caching strategies, and high-performance data-access patterns. </li><li> Experience processing large datasets and optimizing pipeline and query performance. </li><li> Strong understanding of data quality, validation, monitoring, observability, and pipeline reliability. </li><li> Familiarity with Linux, Git, Docker/containers, and modern software-engineering practices. </li><li> Strong analytical, troubleshooting, communication, and cross-functional collaboration skills. <br><br></li></ul><strong>Preferred Qualification<br><br></strong><ul><li> Experience with cloud data platforms and object storage services such as AWS, Azure, or GCP. </li><li> Experience working with PostgreSQL, data warehouses, or analytical databases. </li><li> Experience processing geospatial data or large-scale location-based datasets. </li><li> Familiarity with DuckDB, Apache Sedona, Trino, Presto, or similar analytical technologies. </li><li> Experience processing high-volume event, mobility, transactional, or geospatial data. </li><li> Familiarity with CI/CD pipelines and infrastructure-as-code practices. </li><li> Experience supporting data products, analytics platforms, or AI/ML pipelines</li></ul>

<strong>This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer - Python and K8s based in Saudi Arabia.<br><br></strong>This role offers the opportunity to build open source software that transforms how complex information systems are operated across public clouds and private infrastructure. You will develop Python-based operations software designed to automate and simplify workloads running on Kubernetes. Working across the Linux stack, you will engage with technologies spanning networking, storage, virtualization, containers, and applications. The position combines software engineering rigor with a strong focus on reliability, scalability, testing, and operational excellence. You will collaborate with globally distributed engineering teams to deliver production-ready solutions for customers adopting modern cloud technologies. This is an ideal environment for engineers who enjoy distributed systems, open source development, and solving challenging infrastructure problems.<br><br><strong>Accountabilities<br><br></strong><ul><li>Design, develop, and maintain open source operations software using Python, with a focus on reliable and scalable workloads running on Kubernetes.</li><li>Work across the Linux stack, including the kernel, networking, storage, virtualization, containers, and applications.</li><li>Develop solutions that improve the reliability, automation, and operational efficiency of complex open source systems.</li><li>Build and improve high-quality monitoring and alerting infrastructure to support reliable production operations.</li><li>Simplify the operation of open source technologies for customers and the broader open source community.</li><li>Apply sound software architecture, engineering, testing, documentation, and quality practices throughout the development lifecycle.</li><li>Collaborate with other engineering teams to ensure products operate reliably, efficiently, and at production scale.</li><li>Follow agile software development methodologies and contribute to effective development workflows.</li><li>Share technical knowledge and coach colleagues where appropriate, helping strengthen engineering capabilities across the team.</li><li>Contribute to a healthy, collaborative engineering culture within a globally distributed organization.</li><li>Work remotely while participating in global company and team events, typically involving travel once or twice per year for up to two weeks.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Bachelor’s degree or equivalent qualification in Computer Science, STEM, or a related technical field.</li><li>Strong professional experience developing software with Python and an enthusiasm for solving technically challenging problems.</li><li>Hands-on experience with Linux systems administration, package management, and production operations.</li><li>Practical experience with at least one public cloud platform.</li><li>Familiarity with Docker and Kubernetes and an understanding of containerized application environments.</li><li>Strong understanding of software reliability principles and a commitment to designing and developing dependable systems.</li><li>Interest in distributed systems and the ability to understand technologies across different layers of the Linux and cloud stack.</li><li>Strong engineering discipline, including experience with software testing, maintainable code, and technical documentation.</li><li>Good organization and time management skills, with a focus on delivering high-quality software within expected timelines.</li><li>Strong collaboration and communication skills, with the ability to work effectively within a globally distributed engineering team.</li><li>A genuine interest in open source software, cloud computing, and learning from technically strong colleagues.<br><br></li></ul><strong>Benefits<br><br></strong><ul><li>Fully distributed and remote work environment.</li><li>Twice-yearly in-person team sprints and opportunities to collaborate with colleagues around the world.</li><li>Personal learning and development budget of USD 2,000 per year.</li><li>Annual compensation review.</li><li>Performance-driven annual bonus or commission in addition to base compensation.</li><li>Recognition and rewards programs.</li><li>Annual holiday leave.</li><li>Maternity and paternity leave.</li><li>Employee Assistance Program.</li><li>Opportunities to travel to new locations and meet colleagues globally.</li><li>Priority Pass access and travel upgrades for eligible long-haul company events.</li><li>Compensation considers geographical location, experience, and performance, with benefits adapted to local needs.<br><br></li></ul><strong>How Jobgether Works<br><br></strong>We use an <strong>AI-powered matching process</strong> 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><strong>Data Privacy Notice:</strong> 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.<br><br>

The ideal candidate will be responsible for driving growth and revenue through digital marketing by planning, executing, and optimizing campaigns across multiple channels. You will also analyze campaign performance and provide actionable insights to improve marketing results.<br>Responsibilities Plan and execute digital marketing campaigns across multiple channels Manage and optimize performance marketing campaigns and advertising investments Support lifecycle and CRM marketing activities, including email campaigns and automated workflows Analyze campaign data and provide performance reports and actionable insights to stakeholders Collaborate with Product, Design, Sales, Operations, and external agencies to support growth initiatives Conduct market and competitor research to identify new growth opportunities<br>Qualifications3+ years of experience in Growth Marketing, Performance Marketing, or a related field Strong analytical skills with advanced knowledge of Microsoft Excel Familiarity with CRM platforms, email marketing tools, advertising platforms, and analytics dashboards Basic knowledge of SQL/Python is a plus Strong written and verbal communication skills in both English and Arabic Bachelor’s degree or equivalent Comfortable working independently with strong ownership and problem-solving skills<br>Work Conditions Hybrid work model with high flexibility for remote work USD-paid salary

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br> Jobs for Humanity is partnering with Kanz 30 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. <br> Company Name: Kanz 30<br> <br>Job Description<br> <p>We are seeking an MLOps/AI Platform Engineer to build, deploy, and scale production AI/ML services on Kubernetes. You will partner with ML engineers and software teams to operationalize models with strong reliability, performance, and cost efficiency using automated pipelines, monitoring, and end-to-end MLOps practices.</p><br> Job Purpose <p>Own the deployment and operational excellence of AI/ML services by establishing robust CI/CD, model serving, observability, and lifecycle management on Kubernetes—optimizing inference performance (latency/throughput), ensuring reliable releases, and reducing infrastructure and operating costs.</p><br> Job Duties and Responsibilities <ul> <li>Kubernetes</li><li>Docker</li><li>CI/CD (GitHub Actions/Jenkins)</li><li>Python</li><li>REST/gRPC model serving</li><li>MLflow</li><li>TensorFlow or PyTorch</li><li>Prometheus/Grafana</li><li>Kafka/RabbitMQ</li><li>Monitoring and alerting</li><li>Automated MLOps practices</li><li>Model performance optimization</li><li>Cost optimization</li> </ul> <br> <br>Qualifications<br> Required Qualifications <ul> <li>Kubernetes</li><li>Docker</li><li>Python</li><li>MLflow</li><li>TensorFlow or PyTorch</li><li>REST/gRPC model serving</li><li>CI/CD (GitHub Actions/Jenkins)</li><li>Prometheus/Grafana</li><li>Kafka/RabbitMQ</li><li>AWS/GCP/Azure basics</li><li>Monitoring and incident response</li><li>MLOps/production AI experience</li> </ul> <br> <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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Technical Lead for Resilience Engineering to drive chaos engineering strategy, define best practices, and lead resilience initiatives across hybrid infrastructure environments.</p><p>Key Responsibilities</p><ul><li>Define and own chaos engineering strategy and roadmap</li><li>Lead design of advanced chaos experiments (multi-layer: infra, network, application)</li><li>Mentor engineers in resilience and chaos practices</li><li>Standardize frameworks for automated chaos testing</li><li>Drive adoption of resilience practices across engineering teams</li><li>Collaborate with architecture teams to embed resilience into system design</li><li>Define SLIs, SLOs, and error budgets aligned with reliability goals</li><li>Lead game days/failure simulations</li><li>Drive observability maturity across systems</li></ul><p>Required Skills</p><ul><li>7+ years in SRE/DevOps/Platform Engineering</li><li>Strong expertise in Chaos Engineering (must-have)</li><li>Proven experience in designing custom chaos platforms or frameworks</li><li>Strong programming background (Python / Go preferred)</li><li>Deep experience with:<ul><li>On-prem systems (primary)</li><li>Distributed systems architecture</li><li>Networking and failure injection</li></ul></li><li>Observability leadership experience:<ul><li>Metrics, tracing, logging strategies</li></ul></li><li>Experience with hybrid environments (on-prem + cloud integration)</li></ul><p>Leadership Expectations</p><ul><li>Ability to influence cross-functional teams</li><li>Define engineering standards and best practices</li><li>Drive cultural shift toward resilience-first engineering</li></ul><p>Good to Have</p><ul><li>Experience with large-scale enterprise systems</li><li>Exposure to compliance, DR, and BCP strategies</li><li>Kubernetes chaos testing experience</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Must-have Skills:</strong> Resiliency, SRE</p><p><strong>Good To Have Skills :</strong></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p><p>What this opportunity involves</p><p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><ul><li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li><li>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</li><li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</li><li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</li></ul><p>What this is NOT</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for</p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p></p></section>

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Supply Chain Analyst based in Saudi Arabia.<br><br>This role offers an exciting opportunity for an early-career analyst to apply data and technology to real-world supply chain challenges.<br><br>You will analyze complex datasets to uncover trends, risks, and opportunities that can improve operational performance.<br><br>Working across Supply Chain, Finance, Procurement, R&D, engineering, and product teams, you will turn insights into practical recommendations.<br><br>Your work will contribute to cost improvement, inventory optimization, demand planning, logistics efficiency, and supplier performance.<br><br>You will also develop predictive models and optimization solutions using modern AI and machine learning techniques.<br><br>The position combines analytical problem-solving with hands-on work in Python, SQL, visualization, cloud platforms, and data-driven decision-making.<br><br>It is well suited to a curious, detail-oriented professional who wants to grow their technical and supply chain expertise in a dynamic environment.<br><br>Accountabilities<br><br>Analyze large and complex supply chain datasets to identify trends, operational risks, cost-saving opportunities, and performance improvement areas. Develop predictive models and optimization algorithms using AI and machine learning techniques to support supply chain decision-making. Collaborate with engineering and product teams to integrate analytics, models, and data-driven capabilities into supply chain platforms. Monitor key performance indicators and build dashboards using data visualization tools to provide clear, real-time visibility into operational performance. Support strategic initiatives involving inventory optimization, demand planning, logistics efficiency, procurement, supplier performance, and waste reduction. Work cross-functionally with Supply Chain, Finance, Procurement, R&D, engineering, and other stakeholders to translate business challenges into analytical solutions. Present analytical findings, insights, and recommendations to leadership and business stakeholders to support informed decision-making. Contribute to broader transformation and cost-improvement initiatives by applying data, automation, and analytical techniques to supply chain processes.<br><br>Requirements<br><br>Bachelor's or Master's degree in Supply Chain Management, Data Science, Engineering, or a related discipline.1–3 years of relevant professional experience, academic project experience, or comparable hands-on exposure to supply chain analytics or data analysis. Strong technical capabilities in Python, SQL, and data visualization platforms such as Tableau or Power BI. Experience or familiarity with AI/ML frameworks including Tensor Flow or PyTorch. Knowledge of cloud platforms such as AWS, Azure, or GCP. Solid understanding of supply chain fundamentals, including procurement, logistics, inventory management, and demand planning. Strong analytical and problem-solving abilities, with the capacity to work with large datasets and translate findings into actionable business insights. Excellent written and verbal communication skills, including the ability to present technical analysis clearly to non-technical stakeholders. Ability to collaborate effectively across multiple functions and work independently when required. Comfortable working in a fast-paced, evolving environment with a strong focus on results, learning, and continuous improvement. Curious and detail-oriented mindset with a genuine interest in applying technology and analytics to operational challenges.<br><br>Benefits<br><br>Salary: $24,000. Employment: Full-time position. Work Flexibility: Fully remote work arrangement. Professional Growth: Opportunity for an early-career professional to strengthen expertise across supply chain analytics, data science, AI/ML, and cloud technologies. Cross-Functional Exposure: Work closely with Supply Chain, Finance, Procurement, R&D, engineering, product, and business stakeholders. Technology Exposure: Hands-on opportunities involving Python, SQL, Tableau, Power BI, AI/ML frameworks, and major cloud platforms. Business Impact: Contribute to strategic cost improvement, inventory, demand planning, logistics, procurement, and supply chain transformation initiatives. Dynamic Environment: Join a fast-paced setting where analytical thinking, innovation, and data-driven decision-making are encouraged.<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.