Python Developer Jobs in Saudi

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As a Data Engineer at Innovaccer, you will be at the heart of our data infrastructure designing, building, and maintaining the scalable pipelines and platforms that power our AI-driven healthcare solutions across the Kingdom of Saudi Arabia. You will play a key role in enabling data-driven decision-making for health systems, payers, and providers, directly contributing to better patient outcomes and operational excellence across the Saudi healthcare landscape.</p><p>A Day in the Life</p><ul><li>Design, develop, and maintain robust ETL/ELT data pipelines to ingest, transform, and deliver healthcare data from multiple source systems.</li><li>Build and optimize scalable data models within cloud data warehouses (Snowflake, AWS Redshift, or Azure Synapse) to support analytics and reporting.</li><li>Collaborate with data scientists, product managers, and clinical informatics teams to understand data needs and translate them into reliable data solutions.</li><li>Ensure data quality, integrity, and governance by implementing testing frameworks, validation checks, and monitoring alerts across all pipelines.</li><li>Work with healthcare interoperability standards (HL7, FHIR) to integrate clinical and claims data from diverse health systems in the KSA market.</li><li>Contribute to infrastructure-as-code practices, supporting CI/CD pipelines and automating deployment of data workflows.</li><li>Participate in code reviews, architectural discussions, and cross-functional sprint planning to ensure delivery of high-quality, production-grade data products.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Strong understanding of data engineering principles including data modelling, warehousing, and pipeline architecture.</li><li>Familiarity with healthcare data standards such as HL7, FHIR, ICD-10, and SNOMED CT.</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and their managed data services.</li><li>Ability to write clean, efficient, and well-documented code in Python and SQL.</li><li>Ability to independently own and deliver data pipeline projects end-to-end, from requirements gathering to production deployment.</li><li>Ability to troubleshoot complex data issues and communicate findings clearly to both technical and non-technical stakeholders.</li><li>3 – 6 years of hands-on experience in data engineering or a closely related role.</li><li>Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>Proven experience with distributed processing frameworks such as Apache Spark or Kafka.</li><li>Experience with orchestration tools (Apache Airflow, Prefect, or similar) to manage complex workflow dependencies.</li><li>Prior experience working in healthcare IT or with clinical/claims datasets is strongly preferred.</li><li>Proficiency in dbt (data build tool) for analytics engineering and data transformation workflows.</li><li>Experience with real-time streaming pipelines using Apache Kafka or AWS Kinesis.</li><li>Familiarity with data observability and monitoring tools such as Monte Carlo, Great Expectations, or similar.</li><li>Understanding of HIPAA, PDPL (Saudi Personal Data Protection Law), and data privacy best practices in a healthcare context.</li><li>Experience working in an Agile/Scrum environment with cross-functional global teams.</li><li>Knowledge of Arabic language is a plus for stakeholder communication within the KSA market.</li></ul><p></p></section>

Job Description:As a Senior IR Consultant, you will lead and execute high-stakes incident response investigations and proactive threat hunting for our clients. You will act as a technical authority, guiding clients through complex cybersecurity incidents, developing advanced remediation strategies, and mentoring junior team members. Your expertise will ensure our advisory services and technical delivery align with SITE's highest standards of excellence.<br>Key Responsibilities:Lead end-to-end incident response engagements, including scoping, triage, containment, eradication, recovery, and post-incident review for sophisticated cyberattacks. Perform advanced forensic analysis on diverse endpoints (Windows, Linux, mac OS) and cloud environments (Azure, AWS, GCP) to identify attacker TTPs, root cause, and scope of compromise. Conduct static/dynamic malware analysis to understand capabilities, intent, and indicators of compromise (IOCs). Analyze network traffic (full packet capture, Net Flow, proxy/firewall logs) to reconstruct attack timelines and identify lateral movement. Develop and maintain expert-level proficiency with industry-standard IR and forensic tools (e.g., X-Ways, EnCase, Axiom, Velociraptor, Splunk, ELK Stack). Author clear, concise, and technically detailed reports for both technical stakeholders and executive leadership, outlining findings, impact, and actionable recommendations. Mentor and provide technical direction to junior IR consultants, enhancing team capabilities and ensuring quality of service delivery. Contribute to the development and refinement of IR playbooks, standard operating procedures (SOPs), and automation scripts to improve team efficiency and effectiveness. Serve as a subject matter expert, advising clients on strategic cybersecurity posture improvements and threat-informed defensive measures.<br>Required Qualifications & Experience:Bachelor’s degree in Computer Science, Cybersecurity, or a related technical field. Minimum of 6-8 years of hands-on experience in Incident Response, with a proven track record of leading complex investigations for enterprise-level organizations. Certification: Must hold GCIH, GCFA, GNFA, ECIH, or an equivalent industry-recognized IR/DFIR certification. Demonstrated expertise in forensic acquisition and analysis of evidence from enterprise IT systems, servers, and cloud infrastructures (Iaa S, Saa S). Deep technical knowledge of Windows, Linux, and mac OS internals, file systems, memory structures, and artifact analysis. Proficient in scripting languages (Python, Power Shell, Bash) for task automation and custom tool development. Expert understanding of network protocols, traffic analysis, and the cyber kill chain/MITRE ATT&CK framework. Exceptional leadership, communication, and client-facing skills, with the ability to manage high-pressure situations and convey complex technical details to diverse audiences. Strong project management skills with experience in managing multiple concurrent investigations and mentoring team members.<br>IIn addition to the monthly salary, SITE provides you these Benefits:Social allowance Mobile allowance VIP Medical Insurance employee, his/her family, and parents Annual Children's Education Allowance Annual Eid Award Annual Vacation Allowance Annual Flexible benefit Annual performance bonus

<p>Mindrift is looking for skilled Bot Developers (WhatsApp Business API, Telegram Bot API, Discord API) 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>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>This is a freelance role for a Tendem project. As a Bot Developer, you'll design, build, and refine messaging bots for one or more messaging platforms, including WhatsApp, Telegram, Discord, Slack, and similar platforms for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p><p>Key Responsibilities</p><ul><li>Build bots for one or more messaging platforms, such as WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, Slack 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><strong>Desired Candidate Profile</strong></p><p>At least 3 years of relevant experience backend, integration, automation, or bot development experience (required). Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or related technical fields is a plus.</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><ul><li>At least 1 year of hands-on experience building bots for at least one 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>Strong attention to detail and commitment to bot reliability no silent failures, no broken flows. Self-directed work ethic with the ability to design and ship complete bots independently. Portfolio or examples of bots you've built (required). English proficiency: Upper-intermediate (B2) or above (required).</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you're looking for , webook.com is Saudi's #1 event ticketing and experience booking platforms in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion sales.</p><p>Job Summary: We're looking for DevOps Engineer to join a cutting-edge team that is working on some of the most exciting products being launched in the Middle East. Apply today and if you fit what we're looking for we'll be in touch straight away. For this role, we're happy to consider candidates who are anywhere in the world and looking for a remote opportunity.</p><p>Key Responsibilities:</p><ul><li>Focus on improving scalability, robustness and automation of our tools and processes, as well as expanding capabilities to support new features</li><li>A sense of ownership which will be responsible for the deployment and optimization of our production systems</li><li>The ability to ensure our support tools work and enable continuous integration, testing and production deployment</li><li>As an engineer, you will be shaping and implementing strategic solutions to ensure our systems stays on the bleeding edge of technology</li><li>You will be contributing to the technology stack, covering web development, API development, DB communication/ handshake, performance, and security measures</li><li>You will help to make sure systems are operational, visible, and designed for auto-recovery in case of disaster</li><li>Responsible for the end to end development and production system operations including system maintenance, monitoring (application, system, log), notification, automation, and backend operation</li><li>Visibility and Improvement in system performance and stability</li><li>Propose new technologies and tools to improve development, testing, and production operations</li><li>Work closely with various teams across functions including the project team, product team, tech team, and QA team</li><li>Continually improve DevOps tools, processes, and procedures</li><li>Build, maintain, and scale infrastructure for Production, QA, and Dev environments</li><li>Develop and maintain Continuous Integration/Continuous Delivery systems</li><li>Deploy automation solutions in a public cloud environment such as AWS</li><li>Participate in the ongoing design, implementation, and maintenance of systems and tools across our cloud stack</li><li>Work closely with Development and QA teams to help ensure end-to-end quality</li><li>Write and maintain infrastructure documentation</li><li>Work with third-party vendors to resolve infrastructure issues</li></ul><p>A track record of building and maintaining large-scale software products</p><p>Experience delivering high uptime Software-as-a-Service applications</p><p>Demonstrated ability to proactively manage tasks, projects and issues</p><p>Experience in handling high traffic production system, troubleshooting, automation, and regular operation.</p><p>Familiarity with web development technology and exposure to their build/ deployment.</p><p>Experience with Continuous Integration/ Deployment mechanism using Jenkins, Nexus, Docker Registry, Gitlab, Ansible/Terraform.</p><p>Good Knowledge of SaaS, Cloud Infrastructure and other enterprise-related technologies (AWS).</p><p>Experience with AWS and Google Cloud.</p><p>Experience with Container orchestration (Kubernetes).</p><p>Strong scripting skills (Shell scripting, Python, etc.)</p><p>Strong knowledge of Unix-based systems.</p><p>Experience with version control (Git).</p><p>Deployment and configuration tools (Ansible, Chef, Puppet, etc.)</p><p>Familiarity with micro-service architecture (including the understanding of distributed systems concepts and principles).</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum of bachelors in Computer Science or related field</li><li>Minimum of 3 to 5 years of experience as Senior DevOps</li><li>Experience in GCP - preferred</li><li>AWS Certified DevOps Engineer Professional, preferred</li><li>Google Certified Professional Cloud Architect, preferred</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for an experienced Ansible L2 Automation Engineer to design, develop, integrate, and support enterprise automation use cases across a large banking IT environment . The resource will automate day-to-day operations, provisioning, patching, health checks, compliance checks, and remediation workflows across infrastructure, cloud, network, security, database, middleware, AIX, VMware, Nutanix, OCI, and mainframe-related environments.</p><p>Key Responsibilities</p><ul><li>Design and maintain a modular, role-based Ansible project structure (collections, roles, playbooks) aligned to banking ITSM standards (ITIL v4).</li><li>Build and enforce Ansible best practices: idempotency, error handling, vault secrets management, and tag-based execution strategies.</li><li>Develop reusable Ansible Collections for internal consumption and publish to a private Automation Hub / Galaxy.</li><li>Integrate Ansible with AWX / Ansible Automation Platform (AAP) 2.x for workflow orchestration, RBAC, and audit trail.</li><li>Architect end-to-end CI/CD pipelines for playbook testing (Molecule, ansible-lint, YAML lint) via GitLab CI / Jenkins.</li><li>Automate VM lifecycle: provisioning, cloning, snapshot management, decommissioning via community. VMware collection.</li><li>Integrate with vRealize Orchestrator and NSX-T for network-aware VM provisioning.</li><li>Health checks: datastore capacity, VM sprawl detection, HA/DRS cluster status, vCenter certificate expiry.</li><li>Automate cluster provisioning, VM creation, disk/network attachment via nutanix. ncp collection</li><li>Automate OCI resource provisioning: Compute instances, VCNs, subnets, Block Volumes, OCI Vault secrets via oracle. oci collection.</li><li>Implement cost governance: tag enforcement playbooks, idle resource detection, and scheduled shutdown/startup.</li><li>Automate AIX system provisioning via NIM (Network Installation Manager) integrated with Ansible.</li><li>Manage LPAR lifecycle, VIOS virtual adapter configuration, and WPARs using ibm. power aix collection.</li><li>Automate configuration management for multi-vendor network devices (Cisco IOS/NX-OS, Juniper JunOS, Arista EOS, F5 BIG-IP) using platform-specific Ansible collections.</li><li>Implement network compliance playbooks: enforce baseline configs, detect drift, and remediate via NAPALM / netconf / RESTCONF.</li><li>Design and operate bank-wide OS patching automation for Linux (RHEL, SLES, Ubuntu), Windows Server, AIX, and OCI instances.</li><li>Integrate patching workflows with ServiceNow: auto-open CRQs, update CMDB, close with compliance evidence.</li><li>Develop and schedule comprehensive health-check playbooks for all platforms (daily/weekly/on-demand).</li><li>Build capacity reporting automation: CPU/memory/storage trending, forecast alerts.</li></ul><p>TECHNICAL SKILLS &amp; PLATFORM</p><ul><li>Ansible Core AAP 2.x / AWX, Ansible Navigator, Ansible Lint, Molecule, RBAC, Execution Environments, Collections, Vault</li><li>VMware vSphere 7/8, vCenter, ESXi, NSX-T, vSAN, vROps, SDDC Manager, community. VMware</li><li>CI/CD &amp; DevOps GitLab CI, Jenkins, Git, Jinja2, YAML, Python 3.x, Bash, REST API, JSON/YAML parsing</li><li>ITSM &amp; Monitoring ServiceNow (CMDB, CRQ, Incident), Splunk, ELK Stack, Grafana, Prometheus, Dynatrace</li><li>Security &amp; Compliance CIS Benchmarks, STIG, PCI-DSS, SWIFT CSP, HashiCorp Vault, CyberArk AAM, Qualys/Tenable API</li></ul><p>CERTIFICATIONS REQUIRED &amp; RECOMMENDED</p><ul><li>EX374 Red Hat Certified Specialist in Developing Automation with Ansible Automation</li><li>EX467 Red Hat Certified Specialist in Managing Automation with Ansible Automation Platform</li><li>Red Hat Certified Engineer (RHCE EX294 Ansible)</li><li>Ansible Automation Platform (AAP) Implementation</li><li>Red Hat Certified Architect (RHCA)</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>EX374 Red Hat Certified Specialist in Developing Automation with Ansible Automation</li><li>EX467 Red Hat Certified Specialist in Managing Automation with Ansible Automation Platform</li><li>Red Hat Certified Engineer (RHCE EX294 Ansible)</li><li>Ansible Automation Platform (AAP) Implementation</li><li>Red Hat Certified Architect (RHCA)</li></ul><p></p></section>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Salla is seeking a <strong style="font-weight:700;">Staff Analytics Engineer - Product Data Instrumentation</strong> to take ownership of event instrumentation and behavioral data. This senior individual-contributor role involves managing Salla's event taxonomy, tracking plans, schemas, and identity model, alongside ensuring their trustworthiness through validation. The successful candidate will integrate into the engineering development lifecycle, collaborating with Product teams to ensure every behavioral metric is deliberately designed, documented, and monitored.</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;">Own the design, development, and maintenance of data models and transformation pipelines.</li> <li style="margin:0 0 6px;">Collaborate with cross-functional stakeholders to understand data needs and build scalable solutions.</li> <li style="margin:0 0 6px;">Ensure data quality and consistency through rigorous testing, validation, and monitoring practices.</li> <li style="margin:0 0 6px;">Proactively identify and resolve data issues.</li> <li style="margin:0 0 6px;">Maintain and document the data warehouse structure, data dictionary, and lineage.</li> <li style="margin:0 0 6px;">Define and enforce data modeling best practices.</li> <li style="margin:0 0 6px;">Partner with analytics and business teams to optimize self-serve access to reliable metrics and insights.</li> <li style="margin:0 0 6px;">Improve developer experience across the data stack by automating workflows and simplifying data discovery.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications and Experience</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;">A minimum of 6 years of experience in analytics engineering, data engineering, product analytics infrastructure, or software engineering. This includes at least 3 years directly owning event instrumentation and tracking.</li> <li style="margin:0 0 6px;">Proven track record in designing an event taxonomy and tracking plan from inception, and successfully driving adoption across engineering teams.</li> <li style="margin:0 0 6px;">Hands-on experience with event collection or Customer Data Platform (CDP) platforms such as Segment or Jitsu, and product analytics platforms like Amplitude, Mixpanel, PostHog, or GA4.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical 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;">Strong software engineering fundamentals, with production fluency in at least one of TypeScript/JavaScript, Kotlin, Swift, PHP, Go, or Python, sufficient for reviewing engineering tracking pull requests.</li> <li style="margin:0 0 6px;">Expert SQL proficiency and hands-on experience with dbt, including modeling high-volume event data in columnar warehouses such as ClickHouse, BigQuery, or Snowflake.</li> <li style="margin:0 0 6px;">Working knowledge of streaming architecture (*, Kafka), including delivery semantics, idempotency, deduplication, and handling late-arriving data.</li> <li style="margin:0 0 6px;">Experience with server-side tagging, consent management, and privacy regulations.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Professional 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;">A clear and defensible perspective on identity resolution, sessionization, and cross-platform stitching.</li> <li style="margin:0 0 6px;">Demonstrated ability to influence engineering teams effectively without direct authority.</li> <li style="margin:0 0 6px;">Excellent written communication skills.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Type and Location</h3> <p style="margin:0 0 12px; ************;">This is a full-time position based in Jeddah, Makkah Province.</p>

<p><br></p><p>About the Role</p><p>As a Senior Software Engineer, you will be responsible for the full software development lifecycle from concept and design to testing and deployment. You will work closely with product managers, designers, and other engineers to deliver robust, maintainable, and high-performance applications. Your technical leadership will help drive best practices, code quality, and innovation across the team. You will be expected to take ownership of complex features, communicate technical trade-offs clearly, and contribute to the overall technical roadmap.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain high-quality, scalable server-side and client-side code.</li><li>Lead architectural discussions and contribute to technical design documents.</li><li>Collaborate with cross-functional teams to define, scope, and estimate new features.</li><li>Write clean, testable, and well-documented code, following industry best practices (e.g., design patterns, CI/CD).</li><li>Conduct code reviews, provide constructive feedback, and mentor mid-level and junior engineers.</li><li>Troubleshoot, debug, and optimize existing systems for performance, reliability, and security.</li><li>Stay up-to-date with emerging technologies and proactively propose improvements to the tech stack.</li><li>Participate in agile ceremonies (sprint planning, stand-ups, retrospectives) and contribute to continuous improvement.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Experience:</strong> 5+ years of professional software engineering experience, with at least 2 years in a senior or lead role.</li><li><strong>Technical Skills:</strong> Strong proficiency in at least one modern backend language (e.g., Java, Python, C#, or Node.js) and one frontend framework (e.g., React, Angular, or Vue.js).</li><li><strong>Architecture:</strong> Solid understanding of microservices, RESTful APIs, and database design (SQL and NoSQL).</li><li><strong>Cloud &amp; DevOps:</strong> Hands-on experience with cloud platforms (AWS, Azure, or GCP) and familiarity with containerization (Docker, Kubernetes).</li><li><strong>Testing:</strong> Experience with automated testing (unit, integration, and end-to-end).</li><li><strong>Soft Skills:</strong> Excellent problem-solving skills, strong communication (verbal and written in English), and the ability to work independently and in a team.</li><li><strong>Education:</strong> Bachelor s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).</li><li><strong>Nice-to-Have:</strong> Experience with real-time systems, data streaming (Kafka), or big data technologies. Familiarity with modern authentication protocols (OAuth, JWT). Prior experience working in the fintech, e-commerce, or logistics sectors. Knowledge of Arabic (spoken) is a plus but not required.</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Digital Solution Engineer is responsible for the installation, configuration, administration, maintenance, troubleshooting, and upgrade support of JODAYN solutions within customer environments.<br> The role ensures that deployed solutions remain secure, stable, available, and optimized to meet customer business and technical requirements.<br> The engineer works closely with internal engineering teams and client IT teams to deliver successful implementations, resolve technical challenges, maintain operational excellence, and contribute to continuous service improvement initiatives.<br> The ideal candidate possesses strong Linux administration skills, programming and automation capabilities, structured troubleshooting expertise, and excellent communication skills.<br> Solution Deployment &amp; Administration.<br> Install, configure, and maintain JODAYN solutions in customer environments.<br> Manage Linux-based servers, including Ubuntu and Red Hat Enterprise Linux (RHEL).<br> Perform application upgrades, patches, rollback procedures, and version management activities.<br> Ensure system availability, performance, and operational stability.<br> System Optimization &amp; Security.<br> Implement environment hardening and security best practices.<br> Monitor and optimize system performance and resource utilization.<br> Conduct preventive maintenance activities to improve service reliability.<br> Support backup, recovery, and system continuity processes.<br> Troubleshooting &amp; Incident Resolution.<br> Troubleshoot system, application, and integration-related issues.<br> Perform structured problem-solving and root cause analysis.<br> Analyze logs and diagnostic data to identify and resolve incidents efficiently.<br> Escalate complex technical issues when necessary and coordinate resolution activities.<br> Develop scripts and automation tools to streamline deployment, diagnostics, monitoring, and operational tasks.<br> Support integration requirements through automation and operational tooling.<br> Documentation &amp; Knowledge Management.<br> Create and maintain technical documentation, installation guides, operational procedures, and troubleshooting manuals.<br> Support technical workshops, project meetings, and customer engagements.<br> Understand customer environments, infrastructure constraints, and operational requirements.<br> Contribute to the continuous improvement of deployment, support, and operational processes.<br> Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.<br> Experience 3-10 years of experience in system administration, application support, software deployment, or solution engineering.<br> Experience supporting enterprise applications in Linux-based environments.<br> Experience working with customer-facing projects and support activities.<br> Preferred Skills: Python, Bash, or other scripting languages.<br> Experience with application integrations and APIs.<br> Knowledge of databases and SQL especially, PostgreSQL and MSQL.<br> Familiarity with monitoring and logging tools.<br> ITIL certificacte.<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>We are seeking a highly skilled DevOps/MLOps Engineer to bridge the gap between data science research and AI engineering to ensure smooth SDLC delivery. You will be responsible for designing, implementing, and maintaining the infrastructure and automated pipelines that allow our teams to build, deploy, and monitor modern AI platforms and RAG pipelines at scale. This role requires a deep understanding of cloud infrastructure, CI/CD practices, and the unique challenges associated with the machine learning lifecycle.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Infrastructure and Automation</li><li>Design and manage scalable cloud infrastructure on Google Cloud Platform (GCP) using Terraform, with a focus on GKE clusters, firewalls, and network policies.</li><li>Develop and maintain full SDLC CI/CD pipelines using GitHub Actions, integrating Renovate for dependency management, Sonar for code quality, and Artifactory for binary management.</li><li>Optimize system performance and implement cost-saving measures across cloud environments.</li><li>Build and automate end-to-end ML pipelines on Vertex AI, specializing in RAG architectures and automated data ingestion into Qdrant databases.</li><li>Implement and manage evaluation pipelines to measure and improve the performance of LLM-based systems and agentic workflows.</li><li>Establish automated deployment strategies for ML models (e.g., A/B testing, Canary deployments).</li><li>Monitoring and Reliability</li><li>Develop comprehensive monitoring and alerting systems to ensure the health of production models and infrastructure.</li><li>Implement data and model drift detection to maintain the accuracy of deployed models over time.</li><li>Collaborate with security teams to ensure compliance and data privacy throughout the ML lifecycle.</li><li>Integrate and maintain observability tools such as Langfuse, OpenTelemetry, and Prometheus to enhance system transparency and debugging for ML pipelines and LLM applications.</li><li>Utilize distributed tracing and logging to identify bottlenecks and optimize performance across microservices and agentic workflows.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Experience:</p><ul><li>3+ years in DevOps, SRE, or MLOps roles.</li><li>Cloud Platforms: Proficiency in Google Cloud Platform (GCP).</li><li>Containerization: Advanced knowledge of Docker and Kubernetes (GKE).</li><li>Automation: Expertise in Python, GitHub Actions, Renovate, Sonar, Artifactory, Argo CD, and Helm charts.</li><li>Data Tools: Experience with SQL, NoSQL databases, and data orchestration (Airflow).</li></ul><p>Preferred Skills</p><ul><li>Experience with Vertex AI, RAG pipelines, Qdrant, and LLM orchestration (LangChain or LlamaIndex).</li><li>Contributions to open-source DevOps or MLOps projects.</li><li>Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a highly skilled L2 Oracle KVM Virtualization Engineer with strong hands-on experience in Oracle Linux KVM and libvirt within enterprise production environments.<br> The role will be responsible for managing KVM hypervisors, virtual machines, HA configurations, live migration, storage and network integration, performance optimization, patching, backup/DR, and production incident management .<br> The ideal candidate should have strong troubleshooting skills and experience supporting mission-critical infrastructure in 24x7 production and DR environments .<br> Key Responsibilities Install, configure, administer, and maintain Oracle Linux KVM hypervisors .<br> Manage the complete VM lifecycle , including provisioning, configuration, migration, and decommissioning.<br> Configure and support High Availability (HA) and live migration .<br> Manage storage integration with KVM hosts, including iSCSI, NFS, SAN, and FC .<br> Configure and troubleshoot virtual networking, including VLANs, bridges, and bonding .<br> Monitor virtualization platform health, performance, capacity, and availability.<br> Perform CPU, memory, and disk I/O performance tuning .<br> Apply hypervisor patches, Linux kernel updates, and security hardening.<br> Manage VM backup and restore activities in coordination with backup teams.<br> Support DR environments and VM replication strategies.<br> Troubleshoot host failures, VM crashes, resource contention, and virtualization performance issues.<br> Perform Root Cause Analysis (RCA) for production incidents.<br> Support infrastructure upgrades, migrations, and technology refresh activities.<br> Coordinate with Linux/OS, Storage, Network, Backup, and Cloud teams .<br> Maintain technical documentation and operational procedures.<br> Follow ITIL-based Incident, Problem, and Change Management processes.<br> Provide L2 support within a 24x7 managed services environment 8–12 years of experience in virtualization and Linux administration.<br> Strong hands-on experience with Oracle Linux KVM .<br> Strong knowledge of KVM and libvirt .<br> Experience managing enterprise production virtualization environments .<br> Hands-on experience with HA and live migration .<br> Strong knowledge of Oracle Linux / RHEL .<br> Experience supporting Production and DR environments .<br> Strong understanding of virtualization architecture and resource allocation.<br> Hands-on experience with: iSCSI NFS SAN Fibre Channel (FC) Strong understanding of virtual networking: VLAN Linux Bridges Bonding Experience with virtualization performance tuning and troubleshooting.<br> Experience with patching, upgrades, security hardening, and vulnerability remediation .<br> Basic scripting knowledge using Shell and/or Python .<br> Strong troubleshooting, analytical, and incident-management skills.<br> Familiarity with ITIL Incident, Problem, and Change Management .<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>We are seeking a highly skilled DevOps/MLOps Engineer to bridge the gap between data science research and AI engineering to ensure smooth SDLC delivery. You will be responsible for designing, implementing, and maintaining the infrastructure and automated pipelines that allow our teams to build, deploy, and monitor modern AI platforms and RAG pipelines at scale. This role requires a deep understanding of cloud infrastructure, CI/CD practices, and the unique challenges associated with the machine learning lifecycle.</p><p>Key Responsibilities</p><ul><li>Infrastructure and Automation</li><li>Design and manage scalable cloud infrastructure on Google Cloud Platform (GCP) using Terraform, with a focus on GKE clusters, firewalls, and network policies.</li><li>Develop and maintain full SDLC CI/CD pipelines using GitHub Actions, integrating Renovate for dependency management, Sonar for code quality, and Artifactory for binary management.</li><li>Optimize system performance and implement cost-saving measures across cloud environments.</li><li>Build and automate end-to-end ML pipelines on Vertex AI, specializing in RAG architectures and automated data ingestion into Qdrant databases.</li><li>Implement and manage evaluation pipelines to measure and improve the performance of LLM-based systems and agentic workflows.</li><li>Establish automated deployment strategies for ML models (e.g., A/B testing, Canary deployments).</li><li>Monitoring and Reliability</li><li>Develop comprehensive monitoring and alerting systems to ensure the health of production models and infrastructure.</li><li>Implement data and model drift detection to maintain the accuracy of deployed models over time.</li><li>Collaborate with security teams to ensure compliance and data privacy throughout the ML lifecycle.</li><li>Integrate and maintain observability tools such as Langfuse, OpenTelemetry, and Prometheus to enhance system transparency and debugging for ML pipelines and LLM applications.</li><li>Utilize distributed tracing and logging to identify bottlenecks and optimize performance across microservices and agentic workflows.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience: 3+ years in DevOps, SRE, or MLOps roles.</li><li>Cloud Platforms: Proficiency in Google Cloud Platform (GCP).</li><li>Containerization: Advanced knowledge of Docker and Kubernetes (GKE).</li><li>Automation: Expertise in Python, GitHub Actions, Renovate, Sonar, Artifactory, Argo CD, and Helm charts.</li><li>Data Tools: Experience with SQL, NoSQL databases, and data orchestration (Airflow).</li><li>Preferred Skills: Experience with Vertex AI, RAG pipelines, Qdrant, and LLM orchestration (LangChain or LlamaIndex). Contributions to open-source DevOps or MLOps projects. Relevant certifications (e.g., AWS Certified DevOps Engineer, CKA).</li></ul>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About the Role</h3> <p style="margin:0 0 12px; ************;">Managed Services is seeking a <strong style="font-weight:700;">Penetration Tester</strong> to join their team in Riyadh. This full-time role involves conducting comprehensive security assessments, identifying and validating vulnerabilities, and providing practical remediation recommendations across various client environments. The ideal candidate will possess strong offensive-security skills and practical testing experience, coupled with the ability to prepare clear and professional technical reports.</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;">Conduct penetration testing across web applications, APIs, networks, infrastructure, and cloud environments.</li> <li style="margin:0 0 6px;">Perform manual and automated vulnerability assessments.</li> <li style="margin:0 0 6px;">Safely exploit identified vulnerabilities to assess their technical and business impact.</li> <li style="margin:0 0 6px;">Test authentication, authorization, session management, and application logic.</li> <li style="margin:0 0 6px;">Participate in red-team and adversary-simulation activities when required.</li> <li style="margin:0 0 6px;">Conduct source-code security reviews and identify insecure coding practices.</li> <li style="margin:0 0 6px;">Document findings with supporting evidence, risk ratings, and remediation recommendations.</li> <li style="margin:0 0 6px;">Present and explain technical findings to clients and internal stakeholders.</li> <li style="margin:0 0 6px;">Conduct retesting to verify that vulnerabilities have been properly remediated.</li> <li style="margin:0 0 6px;">Stay updated on emerging vulnerabilities, exploitation techniques, and offensive-security tools.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Qualifications and Experience</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 Cybersecurity, Computer Science, Information Security, or a related field.</li> <li style="margin:0 0 6px;">2–3 years of practical experience in penetration testing or offensive security.</li> <li style="margin:0 0 6px;">Hands-on experience in web application and network penetration testing.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Technical Skills and Knowledge</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;">Strong knowledge of vulnerability assessment and exploitation techniques.</li> <li style="margin:0 0 6px;">Good understanding of network protocols, including TCP/IP, DNS, and HTTP.</li> <li style="margin:0 0 6px;">Strong working knowledge of Linux and Windows environments.</li> <li style="margin:0 0 6px;">Strong understanding of web technologies, APIs, authentication mechanisms, and the OWASP Top 10.</li> <li style="margin:0 0 6px;">Experience with tools such as Burp Suite, Metasploit, Nmap, Wireshark, and Nessus.</li> <li style="margin:0 0 6px;">Scripting skills in Python, Bash, PowerShell, Ruby, or a similar language.</li> <li style="margin:0 0 6px;">Strong technical-reporting and communication skills.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Preferred Qualifications</h3> <p style="margin:0 0 12px; ************;">Candidates with the following experience or certifications will be at an advantage:</p> <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 cloud security assessments, red-team operations, source-code security reviews, or client-facing penetration-testing engagements.</li> <li style="margin:0 0 6px;">One or more of the following certifications: Offensive Security Certified Professional (OSCP), Certified Ethical Hacker (CEH), GIAC Penetration Tester (GPEN), Offensive Security Experienced Penetration Tester (OSEP), Certified Red Team Professional (CRTP), or Certified Red Team Operator (CRTO).</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment</h3> <p style="margin:0 0 12px; ************;">This is a full-time, on-site position based in Riyadh.</p>

<p>You will be the bridge between our telematics devices in the field and the platform that turns their data into value. As IoT (Internet of Things) Engineer you will design how thousands of devices connect, authenticate, provision, and stream data reliably and securely building the connectivity layer, data pipelines, and fleet-management tooling that keep our connected estate healthy at scale.</p><p>Key Responsibilities</p><ul><li>Design and operate the device-to-cloud connectivity layer using MQTT, and cloud IoT services (AWS IoT Core, Azure IoT Hub, or equivalent).</li><li>Build device provisioning, identity, and lifecycle/fleet-management workflows for large device populations.</li><li>Develop ingestion pipelines and data processing that feed telemetry into our platform and analytics.</li><li>Implement device security: mutual TLS, certificate/key management, and secure onboarding.</li><li>Create edge and cloud logic for command-and-control, remote configuration, and OTA orchestration.</li><li>Monitor connectivity health, build observability/alerting, and drive down device downtime.</li><li>Partner with embedded engineers on data contracts and with backend/platform teams on APIs and storage.</li><li>Optimise cellular data usage, cost, and SIM/connectivity management across the fleet.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Degree in Computer Science, Software/Electronic Engineering, or equivalent, with 3+ years of relevant experience.</p><ul><li>Hands-on experience with an IoT cloud platform (AWS IoT, Azure IoT, Google Cloud IoT, or similar).</li><li>Strong grasp of IoT protocols (MQTT, HTTP; CoAP a plus) and networking fundamentals.</li><li>Programming proficiency in Python, Node.js, Go, or Java for backend/edge services.</li><li>Understanding of device security, certificates, and identity management.</li><li>Experience with data pipelines, message queues, or streaming (e.g. Kafka, Kinesis, Pub/Sub).</li></ul><p>Nice to Have</p><ul><li>Experience managing cellular connectivity, APNs, and SIM fleets.</li><li>Cloud infrastructure-as-code (Terraform) and containerisation (Docker/Kubernetes).</li><li>Familiarity with time-series databases and telemetry visualisation.</li><li>Prior work with telematics, automotive, or asset-tracking data.</li></ul><p>Inclusion &amp; Diversity</p><p>At Perfect Vision, we believe in equal opportunity and are committed to creating a diverse and inclusive workplace. We warmly welcome and encourage applications from individuals with special needs (motor disabilities), as we provide fully equipped facilities and a friendly workspace designed to ensure they can perform their duties with the highest levels of comfort and professionalism.</p>

Job Title – Data Engineer Company – TCS (MEA) Location – Dhahran, KSAJob type – Full time<br>About Us:Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.<br>Job Description:<br>Strong background in data engineering and big data technologies.<br>Skills:<br>Python/Scala/Java, Spark, SQL/NoSQL DBs, ETL/data modeling, Airflow, data lakes, Git, Agile.<br>Application Deadline: 30-August-2026<br>Privacy Note:https://www.tcs.com/connect-with-tcs/privacy-policy

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Job Title</b>: Backend Developer (3 11 Years Experience) Experience: 3 11 Years Employment Type: Full-Time Location: Open Role Summary We are seeking an experienced Backend Developer to design, develop, and maintain scalable, secure, and high-performance server-side applications and APIs. The ideal candidate will have expertise in backend development frameworks, microservices architecture, database design, API development, and cloud-native application development while collaborating with cross-functional teams to deliver enterprise-grade solutions. Key Responsibilities Design, develop, and maintain scalable backend applications and microservices. Develop RESTful APIs and backend services to support web and mobile applications. Build secure, high-performance, and reliable server-side applications. Design and optimize database schemas, queries, and data access layers. Integrate third-party services and enterprise applications through APIs. Troubleshoot, debug, and optimize backend application performance. Implement authentication, authorization, and security best practices. Collaborate with frontend developers, DevOps engineers, QA teams, and business stakeholders. Participate in code reviews, technical design discussions, and architectural decisions. Create and maintain technical documentation and follow software development best practices.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Hands-on experience with Java (Spring Boot) OR .NET (ASP.NET Core) OR Node.js OR Python (Django) OR Ruby on Rails OR PHP (Laravel/Symfony) .</li><li>Strong experience developing REST APIs and backend services.</li><li>Experience with Microservices Architecture .</li><li>Strong knowledge of SQL OR PostgreSQL OR MySQL OR Microsoft SQL Server .</li><li>Experience with Git and version control systems.</li><li>Understanding of Object-Oriented Programming (OOP) and software design principles.</li><li>Experience integrating third-party APIs and enterprise systems.</li><li>Strong debugging, problem-solving, and performance optimization skills.</li><li>Experience with Docker OR Kubernetes .</li><li>Experience with Kafka OR RabbitMQ or other messaging platforms.</li><li>Experience with Redis OR Memcached for caching.</li><li>Knowledge of AWS OR Microsoft Azure OR Google Cloud Platform (GCP) .</li><li>Familiarity with CI/CD pipelines and DevOps practices.</li><li>Experience with GraphQL .</li><li>Understanding of authentication mechanisms such as OAuth 2.0 , JWT , and OpenID Connect .</li><li>Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>3 11 years of experience in backend application development.</li><li>Experience building cloud-native and distributed applications.</li><li>Knowledge of domain-driven design and event-driven architectures.</li><li>Experience working in Agile/Scrum environments.</li><li>Strong communication and collaboration skills.</li><li>Ability to write clean, maintainable, and well-documented code.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a Senior Data Science Consultant – Cards Marketing Analytics to join our client team in Jeddah, Saudi Arabia. This role involves leveraging advanced analytics and predictive modeling to drive marketing strategies for credit and debit card portfolios. The ideal candidate will have extensive experience in banking analytics, particularly in cards marketing, and will play a pivotal role in delivering actionable insights to client teams.</p><br><p><strong>Responsibilities:</strong></p><ul><li><p>Build predictive models to identify customer targeting opportunities, enhance spend growth, improve retention, and reduce churn.</p></li><li><p>Develop customer segmentations for credit and debit card portfolios to support lifecycle marketing, campaign strategy, and personalization.</p></li><li><p>Analyze campaign performance across segments, products, channels, and customer behaviors, delivering actionable insights.</p></li><li><p>Design test-and-learn frameworks, including control groups, campaign measurement logic, and post-campaign performance reviews.</p></li><li><p>Collaborate with client teams to ensure analytical outputs are practical, explainable, and ready for business adoption.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><p>Minimum 7–8 years of experience in data science, advanced analytics, or analytics consulting.</p></li><li><p>Strong banking experience, particularly with credit card and debit card products.</p></li><li><p>Proven expertise in marketing analytics, predictive modeling, customer segmentation, campaign analytics, and portfolio analytics.</p></li><li><p>Proficiency in Python, SAS, and SQL, with hands-on experience working with large banking datasets, including customer profiles, card transactions, and campaign history.</p></li><li><p>Strong understanding of statistical modeling, machine learning, model validation, and performance tracking.</p></li><li><p>Ability to clearly communicate analytical outputs to business stakeholders and prepare senior-level presentations, reports, and documentation.</p></li><li><p>Experience working with marketing, product, risk, and data teams in a banking environment.</p></li><li><p>Consulting discipline, including structured problem-solving, ownership, and timely delivery.</p></li><li><p>Must be comfortable working as a contractor on a client-facing engagement in Saudi Arabia.</p><br></li></ul><p><strong>Preferred Qualifications:</strong></p><ul><li><p>Current location in Saudi Arabia, ideally Jeddah.</p></li><li><p>Experience in the Saudi or GCC banking market.</p></li><li><p>Exposure to card lifecycle analytics, including acquisition, activation, usage, spend growth, retention, and attrition.</p></li><li><p>Familiarity with campaign management platforms, CRM systems, or marketing automation tools.</p></li><li><p>Experience with A/B testing, uplift modeling, next-best-action, offer optimization, or customer lifetime value models.</p></li><li><p>Knowledge of cloud-based data platforms and modern analytics environments.</p></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Summary We are seeking a highly skilled Platform Engineer to join our Infrastrcutre team and lead the design and automation of resilient, scalable, and secure infrastructure. The ideal candidate will have strong expertise in Kubernetes, ArgoCD, Terraform, Ansible, CI/CD, and experience across public cloud platforms such as Oracle Cloud Infrastructure (OCI), Google Cloud Platform (GCP), and Amazon Web Services (AWS).</p><p>Key Responsibilities</p><ul><li>Design, implement, and manage Kubernetes-based platforms across public cloud environments (OCI, GCP, AWS).</li><li>Drive GitOps adoption using ArgoCD for consistent and automated deployments.</li><li>Build and maintain infrastructure using Terraform and ensure compliance with IaC best practices.</li><li>Automate configuration and operational tasks using Ansible.</li><li>Develop and manage robust CI/CD pipelines to support fast, secure, and reliable software delivery.</li><li>Collaborate with development, security, and infrastructure teams to align platform solutions with business goals.</li><li>Monitor, troubleshoot, and optimize infrastructure and deployment processes across cloud platforms.</li><li>Enforce cloud security standards and governance policies within Kubernetes and related cloud services.</li><li>Maintain thorough documentation of infrastructure design, processes, and procedures.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).</li><li>6+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE) roles.</li><li>Strong hands-on experience with Kubernetes (deployment, networking, security, Helm).</li><li>Proficiency in ArgoCD or similar GitOps tools (e.g., FluxCD).</li><li>Expertise in Terraform for infrastructure provisioning on cloud platforms.</li><li>Solid experience with Ansible for automation and configuration management.</li><li>Experience with CI/CD tools (GitLab CI, Jenkins, GitHub Actions, etc.).</li><li>Proven track record working with public cloud platforms, particularly: Oracle Cloud Infrastructure (OCI) compute, networking, load balancing, block/object storage, IAM. Google Cloud Platform (GCP) GKE, Cloud Build, IAM, VPC. Amazon Web Services (AWS) EKS, EC2, S3, IAM, VPC.</li><li>Proficient in Git and scripting languages (Bash, Python).</li><li>Knowledge of security best practices in cloud and Kubernetes environments.</li></ul><p>Preferred Qualifications</p><ul><li>Experience implementing multi-cloud or hybrid-cloud architectures.</li><li>Familiarity with service mesh technologies (Istio, Linkerd).</li><li>Experience with monitoring, logging, and alerting tools (Prometheus, Grafana, ELK, Loki, etc.).</li><li>Certifications: CKA, CKAD, Terraform Associate, AWS/GCP/OCI certifications.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Salla is looking for a Senior SRE Engineer (MLOps) to join our Salla AI team.</p><p>This role focuses on running our AI and ML systems as real production systems, not side experiments owning the operational layer around models, prompts, agents, inference services, and retrieval systems.</p><p>You will be responsible for enabling Agentic AI and Generative AI features to operate reliably, securely, and cost-effectively at scale within the Salla ecosystem.</p><p>This role is SRE- and platform-engineering-first, with a strong emphasis on reliability, observability, safe releases, cost, and governance, while collaborating closely with engineering, data, and AI teams to give every pod a fast, safe path to production.</p><p>It exists because AI systems fail differently from normal services a prompt change can behave like a code change, an agent calling tools needs auditability, and latency, quality, and cost can move together in uncomfortable ways.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4+ years in SRE, platform engineering, DevOps, or production infrastructure, operating distributed systems in production not only in demos</li><li>Hands-on experience with Kubernetes and cloud-native systems in production</li><li>Familiarity with deploying ML projects</li><li>Strong command of CI/CD, GitOps, observability, and incident response</li><li>Solid experience with infrastructure-as-code, secrets management, and networking</li><li>Ability to write automation or platform tooling in Python, or a similar language</li><li>Production judgment knowing how to make systems measurable, debuggable, repeatable, and safe to change (you do not need to be a machine learning researcher)</li><li>Ability to work across teams, explain trade-offs clearly, and turn operational pain into standards engineers will actually use</li><li>Nice to have: Experience with MLOps or ML platforms model serving, registries, evaluation, feature/data dependencies, drift monitoring, or ML pipelines</li><li>Familiarity with LLM applications or agentic systems RAG, vector databases, tool calling, workflow orchestration, memory, traces, guardrails, or evaluation pipelines</li><li>Exposure to tooling such as OpenTelemetry, Prometheus, Grafana, MLflow, KServe, Ray, LiteLLM, vLLM, LangGraph, Arize Phoenix, or LangSmith</li><li>Experience with Kafka consumers, GPU workloads, inference optimization, model routing, or AI cost governance</li><li>Experience working in cross-functional product teams involving AI, backend, and frontend engineers</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Overview We are looking for a Cloud Platform Engineer (OCI) with 3 6 years of experience to build, manage, automate, and support enterprise cloud infrastructure environments. The role focuses primarily on Oracle Cloud Infrastructure (OCI) and involves provisioning, operations, automation, security, monitoring, and migration activities. The ideal candidate should have hands-on experience with OCI services, Terraform, Kubernetes, CI/CD pipelines, cloud security, and platform operations, along with working knowledge of at least one secondary cloud platform such as AWS, Azure, or GCP. Key Responsibilities Provision and configure OCI resources including Compute, Storage, VCN, Load Balancer, DBCS, and Autonomous Database. Implement and manage OCI networking components such as VCNs, subnets, NSGs, route tables, gateways, VPNs, FastConnect, and DNS. Develop and maintain Infrastructure-as-Code (Terraform / OCI Resource Manager) modules. Automate operational tasks using Python, Bash, Ansible, and cloud-native tools. Support CI/CD deployments using OCI DevOps, Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Monitor cloud environments using OCI Monitoring, Logging, APM, Prometheus, Grafana, ELK, Datadog, or Dynatrace. Perform routine operations including patching, backups, certificate renewals, capacity checks, and incident resolution. Implement cloud security controls including IAM policies, MFA, Vault/KMS, encryption, Bastion, Cloud Guard, Security Zones, and Vulnerability Scanning. Support cloud migration and modernization initiatives to OCI. Assist application teams deploying workloads on OKE, WebLogic, Oracle DB, Functions, and API Gateway. Contribute to cost optimization, automation, and operational documentation.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, IT, Engineering, or related field.</li><li>3 6 years of hands-on cloud/platform engineering experience.</li><li>Minimum 2 years of OCI experience (or strong cloud experience with demonstrable OCI exposure).</li><li>Experience supporting production environments, incident management, and change management.</li><li>Certifications Required: At least one OCI Associate certification (OCI Foundations Associate (1Z0-1085), OCI Architect Associate (1Z0-1072) or OCI Operations Associate (1Z0-1067)).</li><li>Preferred Additional certifications: OCI Architect Professional, AWS SAA / Azure AZ-104 / GCP ACE, Terraform Associate, CKA, RHCSA / Oracle Linux Certification.</li><li>Soft Skills: Strong problem-solving and troubleshooting abilities. Good communication and stakeholder management skills. Ability to work in cross-functional teams. Ownership, accountability, and service-oriented mindset. Continuous learning attitude.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled and experienced BI Engineer to join our team in Riyadh. The ideal candidate will be responsible for designing, developing, and maintaining scalable Business Intelligence solutions that enable data-driven decision-making across the organization. This role requires strong expertise in data modeling, ETL development, dashboarding, reporting, and data warehousing technologies.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain enterprise-grade BI solutions, dashboards, and analytical reports.</li><li>Gather and analyze business requirements and translate them into technical specifications.</li><li>Develop and optimize ETL/ELT processes for data integration from multiple sources.</li><li>Design and maintain data warehouses, data marts, and semantic models.</li><li>Build interactive dashboards and reports to support business stakeholders.</li><li>Ensure data accuracy, integrity, consistency, and governance across BI platforms.</li><li>Monitor and optimize query performance, data pipelines, and reporting solutions.</li><li>Collaborate with business users, data engineers, and leadership teams to identify reporting and analytics needs.</li><li>Troubleshoot BI-related issues and provide ongoing support for reporting environments.</li><li>Implement best practices for data visualization, security, and performance optimization.</li><li>Create and maintain technical documentation, data dictionaries, and reporting standards.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.</li><li>7 - 9 years of experience in Business Intelligence, Data Warehousing, and Analytics.</li><li>Strong experience with BI tools such as Power BI, Tableau, Qlik Sense, or Looker.</li><li>Hands-on experience with SQL and relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.</li><li>Experience designing and maintaining Data Warehouses, Data Marts, and Dimensional Models (Star/Snowflake Schemas).</li><li>Expertise in ETL/ELT tools such as SSIS, Informatica, Talend, Azure Data Factory, or similar platforms.</li><li>Strong understanding of data modeling, data governance, and data quality principles.</li><li>Experience with cloud platforms such as Azure, AWS, or Google Cloud is preferred.</li><li>Knowledge of scripting languages such as Python or PowerShell is an advantage.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work effectively with cross-functional and business teams.</li></ul><p>Preferred Qualifications</p><ul><li>Experience in enterprise-scale BI implementations.</li><li>Knowledge of modern data platforms and lakehouse architectures.</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Relevant certifications in Power BI, Tableau, Azure Data Engineering, AWS Analytics, or related technologies are preferred.</li></ul><p></p></section>