Python Developer Jobs in Saudi

Software Engineer / System Administrator – Blackboard LMS<br>We are looking for a Software Engineer / System Administrator with hands-on experience in Blackboard LMS to join our team.<br>Key Responsibilities:• Develop, customize, administer, and maintain Blackboard LMS and related applications.• Build and support integrations between Blackboard and other enterprise systems using APIs and web services.• Develop and maintain custom applications, extensions, and automation tools.• Support integrations with SIS, ERP, HR, CRM, identity management, and third-party learning systems.• Troubleshoot technical, system, and integration-related issues.<br>Qualifications & Skills:• Bachelor’s degree in Computer Science, Software Engineering, IT, or a related field.• 3–5 years of relevant experience.• Hands-on experience with Blackboard LMS / Learn Ultra is highly preferred.• Experience with REST APIs, JSON, XML, and Web Services.• Knowledge of Java, Java Script, Python, or C#.• Familiarity with SQL, LTI, SCORM, x API, SAML, OAuth, and Active Directory.<br>Interested candidates are welcome to apply or send their CV to f.mslaghor@gmail.com<br>#Hiring #Software Engineer #System Administrator #Blackboard LMS #EdTech #Higher Education #ITJobs

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About Jobs for Humanity</h3> <p style="margin:0 0 12px; ************;">Jobs for Humanity is committed to fostering an inclusive and equitable employment ecosystem. The organization collaborates with partners, including abdulaziz, to prioritize individuals from diverse backgrounds, aiming to build a workforce that reflects all walks of life.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Role Overview</h3> <p style="margin:0 0 12px; ************;">Jobs for Humanity is seeking a <strong style="font-weight:700;">Full-Stack AI/ML Application Engineer</strong> to join a team in Dammam. This full-time position is suitable for candidates with 0-1 years of experience. The role focuses on designing and building end-to-end applications that integrate AI/ML and Large Language Model (LLM) capabilities into production-grade products.</p> <p style="margin:0 0 12px; ************;">The primary objective of this role is to own the engineering of reliable and scalable full-stack AI features. This encompasses model integration and deployment, API development, data pipeline management, performance and security optimization, and automated testing, with an emphasis on delivering measurable improvements in accuracy, latency, and system robustness.</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;">Develop full-stack applications, utilizing Python for backend services and TypeScript/JavaScript for frontend and services.</li> <li style="margin:0 0 6px;">Design and implement REST and/or GraphQL APIs.</li> <li style="margin:0 0 6px;">Integrate machine learning models using frameworks such as PyTorch and/or TensorFlow.</li> <li style="margin:0 0 6px;">Implement LLM integration and apply prompt engineering techniques.</li> <li style="margin:0 0 6px;">Deploy models effectively using tools like FastAPI and Docker.</li> <li style="margin:0 0 6px;">Design databases and manage data access, specifically with PostgreSQL and/or MongoDB.</li> <li style="margin:0 0 6px;">Perform cloud platform engineering tasks across AWS, GCP, and/or Azure.</li> <li style="margin:0 0 6px;">Take ownership of scalable APIs and data pipelines.</li> <li style="margin:0 0 6px;">Implement and maintain CI/CD pipelines and automated testing.</li> <li style="margin:0 0 6px;">Utilize version control systems, particularly Git.</li> <li style="margin:0 0 6px;">Optimize application performance and enhance security hardening.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Skills 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;">Proficiency in Python programming.</li> <li style="margin:0 0 6px;">Proficiency in TypeScript and/or JavaScript.</li> <li style="margin:0 0 6px;">Experience in building REST and/or GraphQL APIs.</li> <li style="margin:0 0 6px;">Hands-on experience integrating ML models using PyTorch and/or TensorFlow.</li> <li style="margin:0 0 6px;">Experience with LLM integration and prompt engineering.</li> <li style="margin:0 0 6px;">Experience deploying models, for example, with FastAPI and Docker.</li> <li style="margin:0 0 6px;">Experience with PostgreSQL and/or MongoDB databases.</li> <li style="margin:0 0 6px;">Experience with cloud platforms such as AWS, GCP, and/or Azure.</li> <li style="margin:0 0 6px;">Strong fundamentals in CI/CD and test automation.</li> <li style="margin:0 0 6px;">Solid version control skills using Git.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Location and Type</h3> <p style="margin:0 0 12px; ************;">This is a full-time position located in Dammam, Saudi Arabia.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Application Process</h3> <p style="margin:0 0 12px; ************;">Interested candidates are encouraged to submit their applications for this role.</p>

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall.<br>Responsibilities Lead the technical design and implementation of AI and machine-learning components. Develop solutions for document extraction, financial line-item classification, mapping and analytics. Define model-selection, training, evaluation and deployment methodologies. Establish accuracy, confidence, explainability and human-review controls. Guide AI engineers and collaborate with data, MLOps, architecture and business teams. Support PoC experimentation and production model deployment. Qualifications Bachelor’s in Computer Science or AI; relevant certifications; minimum 5 years in AI/ML development. Bachelor’s degree in Computer Science, Artificial Intelligence or a related field. Minimum five years of experience in AI/ML development. Experience with document AI, OCR, NLP, Gen AI or structured data extraction. Strong Python and machine-learning framework experience. Relevant AI, cloud or machine-learning certifications preferred. Experience in banking, financial services or government projects is advantageous.

<b>Join Our Dynamic Team as a Data Engineer</b><br>We are seeking a passionate Data Engineer to help us build robust data pipelines and work on modern analytics solutions. If you have 4+ years of experience and love tackling big data challenges, this role at TestCrew is perfect for you.<br><br><b>Location:</b> Riyadh<br><br><b>Your Responsibilities:</b><ul><li>Build and optimize scalable ETL/ELT data pipelines.</li><li>Work with Apache Spark for large-scale data processing.</li><li>Design workflows using Apache Airflow.</li><li>Develop and manage data warehouse &amp; data lake architectures.</li><li>Improve data models, performance, and reliability.</li><li>Collaborate with analytics and business teams.</li><li>Implement CI/CD and DataOps practices.</li><li>Ensure data quality, governance, and efficiency across systems.</li></ul><br><b>What We’re Looking For:</b><ul><li>Strong experience in Python &amp; SQL.</li><li>Hands-on expertise with Apache Spark.</li><li>Experience with Apache Airflow.</li><li>Knowledge of Data Warehousing &amp; Data Lake concepts.</li><li>Experience building ETL/ELT pipelines.</li><li>Exposure to Cloud platforms (AWS / Azure / GCP) or Cloudera ecosystem.</li><li>Strong understanding of data modeling &amp; performance optimization.</li><li>Familiarity with CI/CD pipelines and DataOps practices.</li></ul><br><b>Nice to Have:</b><ul><li>Experience with streaming tools (Kafka, etc.)</li><li>BI/Analytics tool exposure.</li><li>Experience in Agile environments.</li></ul>

About the Company<br>Advanced technology and cybersecurity company (sirar) established by stc, the region’s ICT and digital services provider, sirar by stc is a cutting-edge cybersecurity provider that empowers organization to take control of their cyber capabilities and digital environments. As experts in business security and privacy. We offer a comprehensive range of solutions that help you to operate online safely, securely, and efficiently.<br>Responsibilities:Design, develop, and maintain enterprise-grade applications, APIs, and backend services using . NET Framework, . NET Core, C#, and Python. Build and implement automation solutions, system tools, and scripts to improve operational efficiency and service delivery. Develop, enhance, and maintain digital platforms including employee portals, customer portals, websites, and internal business applications. Create scalable and sustainable web applications following best practices, clean coding standards, and design patterns. Collaborate with QA, Dev Ops, Product Owners, Business Units, and stakeholders throughout the development lifecycle. Analyze business requirements and translate them into technical solutions and system enhancements. Integrate frontend components with backend services and APIs. Refactor legacy applications and contribute to modernization initiatives, including microservices adoption. Ensure application security, performance optimization, monitoring, logging, exception handling, and reliability. Conduct quality assurance activities, security testing, usability testing, and deployment preparation. Manage application enhancements, change requests, releases, and production support activities. Develop reporting capabilities through automation, standardization, and process improvement initiatives. Analyze user feedback, system performance, and operational data to enhance user experience and business outcomes. Identify system weaknesses and implement corrective actions and continuous improvements. Mentor junior developers and participate in code reviews and technical guidance.<br><br>Academic Qualification :Bachelor's degree in Computer Science, Software Engineering, Information Technology, Cybersecurity, or a related field.<br>Professional Certificate:Microsoft Certified: Azure Developer Associate (AZ-204) Microsoft Certified: Azure Solutions Architect Expert (AZ-305) Microsoft Certified: Dev Ops Engineer Expert (AZ-400) Microsoft Certified: Power Platform Developer Associate (PL-400) AWS Certified Developer – Associate AWS Certified Solutions Architect – Associate Certified Kubernetes Application Developer (CKAD) Docker Certified Associate (DCA) Scrum Master Certification (CSM/PSM) ITIL Foundation Certification Comp TIA Security+Microsoft Certified: Cybersecurity Architect Expert (Preferred) Relevant certifications in Software Development, Dev Ops, Cloud Computing, Automation, or Digital Enablement are highly desirable.<br><br>Years of Experience :5+ years in relevant experience.<br>Skills :. NET Framework, . NET Core, and C# Development Python Development & Automation ASP. NET MVC & Web Application Development RESTful APIs & System Integrations SQL Databases & Entity Framework Microservices Architecture Frontend Technologies (HTML, CSS, Java Script) CI/CD, Dev Ops, Docker & Cloud Platforms API Testing & Quality Assurance Process Automation & Digital Enablement Git, Azure Dev Ops & Version Control Application Security & Performance Optimization Business Analysis & Requirements Management Troubleshooting & Problem Solving Agile Methodologies & SDLCTechnical Leadership & Mentoring Excellent Communication & Stakeholder Management<br>Important Notice for Candidates:<br>By submitting your application, you confirm that you have read and understood sirar's Candidate Privacy Notice and agree to the processing of your personal data in accordance with it.

Abdulaziz Al‑Zaid Professional Consulting (AZ) is building a scalable B2B Saa S platform that digitizes and automates regulated, document-heavy professional workflows — from client intake and structured data capture to quality controls, approvals, and controlled report issuance — integrated with CRM, analytics, and enterprise systems.<br>We are hiring a hands‑on Senior Agentic AI Engineer to design and ship production‑grade LLM agent systems that automate real workflows (not demos). You will work closely with leadership and a lean engineering team to deliver AI capabilities that are measurable, reliable, secure, and commercially deployable.<br>What you’ll deliver (outcomes) Ship production LLM/agent capabilities that reduce manual effort across intake, validation, evidence extraction, drafting, QA checks, routing, and approvals. Build robust agentic workflows (tool use, routing, state management) with reliability patterns (timeouts, retries, fallbacks) and clear observability. Implement evaluation and quality measurement (offline tests + online monitoring) to continuously improve accuracy, safety, and cost performance. Package repeatable AI solutions that can be deployed internally and offered to clients as deliverables (scoping → delivery → measurable outcomes).<br>Key responsibilities Design and implement multi‑step / tool‑using LLM workflows (function calling, external APIs, RAG, structured outputs). Build reusable orchestration patterns (routing, memory/state, task decomposition, guardrails, error recovery). Own LLMOps: deployment, monitoring, prompt/version management, evaluation harnesses, cost/latency control. Integrate agents with business systems (CRM, document/report pipelines, approvals, analytics) using secure APIs and role/permission models. Establish engineering standards for AI delivery: testing, reliability, logging, incident response, and measurable KPIs (quality, cycle time, adoption). Support client-facing AI delivery where needed (requirements, estimation, proof, rollout).<br>Must‑have (we will screen for this) Proven track record shipping LLM/agent systems into production (not only POCs). Strong experience with tool‑using agents: function calling, API integrations, RAG, structured outputs, and reliability patterns. Hands‑on Python development (production code, services, testing, integrations). Strong understanding of backend systems, APIs, auth, data stores, and production operations. Ability to work fast with a lean team and own delivery end‑to‑end.<br>Strong advantage Experience in regulated / auditable workflows (approvals, audit trails, evidence, controlled issuance). Azure-based delivery experience (or equivalent cloud), including CI/CD and monitoring. Familiarity with agent orchestration frameworks (Lang Graph / Semantic Kernel / Auto Gen / Crew AI or similar). Experience building AI-enabled products with evaluation and measurement discipline.<br>Location Riyadh, Saudi Arabia — On‑site (Full‑Time) Candidates outside Riyadh are welcome if able to relocate.<br>How to apply Email jobs@azv.sa with:CVLinks or brief evidence of shipped work (Git Hub, demos, case summaries — redacted if needed) Your monthly all‑in compensation expectation + notice period Email subject: Senior Agentic AI Engineer – Riyadh#Hiring #Riyadh #Saudi Arabia #AIEngineer #LLM #Gen AI #Agentic AI #Multi Agent #RAG #Function Calling #Python #Azure #Saa S #B2B

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Bachelor's degree in Electrical Engineering, Electronics Engineering, or a related field.</p><p>5-8 years of experience in electronic hardware, embedded systems, and PCB design.</p><p>Proficiency in PCB design tools such as Altium Designer or KiCad.</p><p>Experience with ARM, PIC, or AVR microcontrollers and embedded software development.</p><p>Strong knowledge of analog and digital circuit design, signal processing, and power electronics.</p><p>Experience designing DC-DC converters, motor drivers, and power management circuits.</p><p>Proficiency in C, C++, and Python programming languages.</p><p>Knowledge of communication protocols including SPI, I2C, UART, and CAN.</p><p>Familiarity with IPC standards and electronics manufacturing processes.</p><p>Experience using oscilloscopes, multimeters, logic analyzers, and other diagnostic equipment.</p><p>Ability to prepare technical documentation, schematics, and PCB layouts.</p><p>Good English communication skills and strong analytical abilities.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's degree in Electrical Engineering, Electronics Engineering, or a related field. 5-8 years of experience in electronic hardware, embedded systems, and PCB design. Proficiency in PCB design tools such as Altium Designer or KiCad. Experience with ARM, PIC, or AVR microcontrollers and embedded software development. Strong knowledge of analog and digital circuit design, signal processing, and power electronics. Experience designing DC-DC converters, motor drivers, and power management circuits. Proficiency in C, C++, and Python programming languages. Knowledge of communication protocols including SPI, I2C, UART, and CAN. Familiarity with IPC standards and electronics manufacturing processes. Experience using oscilloscopes, multimeters, logic analyzers, and other diagnostic equipment. Ability to prepare technical documentation, schematics, and PCB layouts. Good English communication skills and strong analytical abilities.</p><p></p></section>

As a Threat Detection COOP at COGNNA, you'll design high-impact detection strategies, build powerful automation, and elevate SOC operations to a world-class standard. You'll also mentor rising cyber talent and collaborate with teams across threat intel, incident response, and platform engineering.<br><br>???? Advanced Threat Detection Engineering<br><br>Build high-fidelity correlation rules and behavioral detections within the COGNNA security platforms Translate adversary TTPs (MITRE ATT&CK), threat intel, and vulnerability data into actionable logic Identify detection gaps and introduce new data sources to cover evolving threat landscapes Automate detection testing and maintain detection quality over time<br><br>⚙️ Platform Engineering & Optimization<br><br>Lead architecture and optimization of XDR, SIEM, and SOC tech stacks for scale and resilience Streamline log ingestion pipelines — from parsing to normalization and enrichment Build scripts and automations (Python, Power Shell) to enhance SOC efficiency Integrate tools across the SOC stack to enable seamless workflows and response. <br><br>????️‍♂️ Threat Hunting & Incident Response<br><br>Collaborate with intel and IR teams to enrich detection use cases and support threat hunts Provide Tier-3+ support for incident investigations and post-mortem analysis<br><br>???? Mentorship & SOC Maturity<br><br>Improve SOC playbooks, SOPs, and detection engineering workflows Stay updated on global and regional threats — and evolve detection accordingly Ensure compliance alignment (e.g., NCA ECC, SAMA CSF)<br><br>Requirements<br><br>Minimum Requirements (Must Haves):<br><br>Education: Currently enrolled in their final year of a Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or a closely related field, with graduation planned within or immediately following the 6-month co-op Foundational Security Knowledge: Basic understanding of cybersecurity concepts, including common attack vectors, the Windows/Linux operating system internals, and network protocols Programming/Scripting Basics: Familiarity with writing simple scripts in Python or Power Shell to automate repetitive tasks or parse data Log & System Familiarity: Basic understanding of what logs are (e.g., Windows Event Logs, Syslog) and an interest in how they are collected and analyzed Duration: Availability to commit to a full-time (or near full-time, depending on university rules) 6-month continuous Co-op assignment<br><br>Preferred Qualifications (Nice to Haves / Big Plusses):<br><br>Framework Familiarity: Conceptual knowledge of the MITRE ATT&CK framework and how it maps to adversary behaviors Hands-on Exposure: Previous experience using SIEM/XDR platforms, or building a home lab (e.g., Splunk, Elastic, Wireshark) Regulatory Awareness: A general awareness of cybersecurity frameworks or local compliance standards (like NCA ECC or SAMA CSF) Soft Skills: Strong analytical mindset, a high level of curiosity to dig into threat trends, and excellent written documentation skills<br><br>Benefits<br><br>???? Impact that Matters - Build products that shape the future of cybersecurity and protect organizations globally.<br><br>???? On-Site Collaboration - Be at the heart of innovation in our Riyadh office, working side by side with passionate experts.<br><br>???? Continuous Growth - Access to certifications, trainings, and opportunities to sharpen your expertise.<br><br>???? Culture of Trust - We empower talent, encourage ownership, and celebrate real outcomes.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: AI / ML Engineer Job Title: AI / ML Engineer Experience: 3 11 Years Location: Riyadh (Onsite) Employment Type: Full-Time Job Overview We are seeking a skilled AI / ML Engineer with 3 11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable. Key Responsibilities Design, develop, train, and deploy machine learning and deep learning models for enterprise applications. Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment. Develop Generative AI and LLM-powered applications using modern AI frameworks. Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions. Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security. Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation. Implement MLOps best practices including model versioning, monitoring, and CI/CD automation. Stay current with advancements in AI, machine learning, and cloud AI services. Required Technical Skills Cloud AI Platforms Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker . Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions. Experience with BigQuery ML and Dataflow for data processing and machine learning workflows. Programming &amp; Machine Learning Strong proficiency in Python . Experience developing machine learning solutions using TensorFlow or PyTorch . Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts. Generative AI &amp; LLM Frameworks Experience with Hugging Face and LangChain for building LLM-powered applications. Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred. Data Engineering &amp; Analytics Experience with Databricks for data engineering, model development, and analytics workflows. Strong understanding of data preprocessing, feature engineering, and large-scale data processing. MLOps &amp; Deployment Experience deploying machine learning models into production. Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage. Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 3 11 years of professional experience in AI, Machine Learning, or Data Science. Strong analytical, mathematical, and problem-solving skills. Experience working in Agile development environments. Excellent communication and collaboration skills. Preferred Skills Experience with Large Language Models (LLMs) and Generative AI applications. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents. Experience with distributed model training and cloud-native AI architectures. Cloud certifications in AWS, Azure, or Google Cloud are a plus. Key Technology Stack Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs) Data Processing: BigQuery ML and Dataflow and Databricks Programming: Python Machine Learning Frameworks: TensorFlow or PyTorch LLM Frameworks: Hugging Face or LangChain MLOps: Docker and Kubernetes and CI/CD (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</p><p>3 11 years of professional experience in AI, Machine Learning, or Data Science.</p><p>Strong analytical, mathematical, and problem-solving skills.</p><p>Experience working in Agile development environments.</p><p>Excellent communication and collaboration skills.</p><h2>Preferred Skills</h2><p>Experience with Large Language Models (LLMs) and Generative AI applications.</p><p>Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</p><p>Experience with distributed model training and cloud-native AI architectures.</p><p>Cloud certifications in AWS, Azure, or Google Cloud are a plus.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description: Full Stack Developer (3 11 Years Experience) Job Title: Full Stack Developer Experience: 3 11 Years Location: Riyadh, Saudia Arabia Employment Type: Full-Time Job Overview We are looking for a talented Full Stack Developer with 3 11 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have strong expertise across both frontend and backend technologies, experience building RESTful APIs, and a solid understanding of modern software development practices. Key Responsibilities Design, develop, test, and maintain full-stack web applications. Build responsive, high-performance user interfaces using modern JavaScript frameworks. Develop secure and scalable backend services and RESTful APIs. Collaborate with product managers, designers, QA engineers, and DevOps teams to deliver high-quality software. Optimize application performance, scalability, and security. Write clean, maintainable, and reusable code following industry best practices. Participate in code reviews and mentor junior developers where applicable. Troubleshoot production issues and implement timely fixes. Work within Agile/Scrum development methodologies. Required Technical Skills Frontend Strong experience with React.js or Next.js or Vue.js . Experience with Webpack or comparable frontend build tools/frameworks . Strong knowledge of HTML5, CSS3, JavaScript (ES6+), and TypeScript. Experience building responsive and cross-browser compatible applications. Backend Hands-on experience with one or more of the following backend technologies: Java and Spring Boot Node.js .NET Python and Django Ruby on Rails PHP or comparable backend technologies Database Experience with relational databases such as PostgreSQL, MySQL, or SQL Server. Knowledge of NoSQL databases such as MongoDB is a plus. APIs &amp; Integration Experience designing and consuming RESTful APIs. Familiarity with GraphQL is an advantage. Experience with authentication and authorization mechanisms (OAuth, JWT, SSO). DevOps &amp; Tools Git/GitHub/GitLab/Azure DevOps. CI/CD pipelines. Docker and Kubernetes are a plus. Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) is preferred. Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 3 11 years of professional experience in full-stack software development. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Experience working in Agile development environments. Preferred Skills Microservices architecture. Unit testing and integration testing frameworks. Performance optimization and application security. Experience with containerized and cloud-native applications. Familiarity with messaging systems such as Kafka or RabbitMQ is an added advantage. Key Technology Stack Frontend: React.js or Next.js or Vue.js and Webpack or comparable frontend frameworks/build tools Backend: Java and Spring Boot or Node.js or .NET or Python and Django or Ruby on Rails or PHP or comparable backend technologies Databases: PostgreSQL or MySQL or SQL Server or MongoDB Cloud: AWS or Azure or Google Cloud Platform Version Control: Git, GitHub, GitLab Containerization: Docker, Kubernetes (Preferred) Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field. 3 11 years of professional experience in full-stack software development. Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Experience working in Agile development environments. Preferred Skills Microservices architecture. Unit testing and integration testing frameworks. Performance optimization and application security. Experience with containerized and cloud-native applications. Familiarity with messaging systems such as Kafka or RabbitMQ is an added advantage.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>A Senior Full-Stack Developer is required to build an advanced SaaS real estate platform.</p><p>Experience in the following areas is preferred:</p><p>SaaS Platforms</p><p>Real Estate Platforms</p><p>Marketplace Systems</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Required Skills:</p><ul><li>Flutter or Next.js / React</li><li>Strong Backend (Node.js or Python)</li><li>Firebase or Supabase</li><li>REST APIs</li><li>Multi-Tenant SaaS Architecture</li><li>WhatsApp Business API</li><li>Payment Gateway Integrations</li><li>OpenAI API</li><li>CRM Systems</li><li>Dashboard Development</li><li>Good UI/UX experience</li><li>Experience in building scalable platforms</li></ul><p><br></p></div>

About Syan Pro Syan Pro is a modern Field Service Management (FSM) Saa S platform designed to help field service businesses streamline their operations through intelligent scheduling, dispatching, customer management, estimating, invoicing, payment solutions, and customer engagement. Built specifically for the Saudi Arabian market, Syan Pro includes localized capabilities such as ZATCA e-Invoicing integration and other compliance requirements, enabling businesses to operate efficiently while meeting local regulations. As our platform continues to grow, we are looking for a highly experienced Senior Full Stack Software Engineer who can take ownership of our complete Saa S architecture and help scale the platform for multiple applications and thousands of users.<br><br>Position Summary We are seeking an experienced Full Stack Software Engineer with strong expertise in React.js, Python, Microservices Architecture, Postgre SQL, Redis, and Apache Kafka. This role goes beyond software development. The ideal candidate will be responsible for designing, developing, maintaining, and continuously improving the overall Saa S platform architecture while ensuring high availability, security, scalability, and performance. The successful candidate should have hands-on experience building and managing enterprise-grade Saa S products composed of multiple applications and distributed services.<br><br>Key Responsibilities<br>Software Development Design, develop, and maintain modern web applications using React.js. Develop scalable backend services using Python (Fast API, Django, or Flask). Design and develop RESTful APIs and service integrations. Write clean, reusable, maintainable, and well-tested code. Optimize application performance across frontend and backend components.<br>Saa S Platform Ownership Own the architecture of the complete Saa S platform. Design solutions capable of supporting multiple applications under a unified platform. Build highly available, fault-tolerant, and scalable enterprise systems. Design multi-tenant Saa S architecture. Implement secure authentication and authorization mechanisms. Plan platform scalability, monitoring, deployment, and disaster recovery. Ensure high system uptime and reliability.<br>Microservices Architecture Design and implement microservices-based solutions. Build event-driven systems using Apache Kafka. Define service boundaries and communication strategies. Implement API Gateway patterns and service discovery. Ensure loose coupling and high cohesion between services. Optimize distributed system performance and resilience.<br>Database & Performance Design normalized and scalable Postgre SQL databases. Optimize complex SQL queries and indexing. Implement Redis caching strategies. Improve application performance through database optimization and caching.<br>Dev Ops & Cloud Work closely with Dev Ops to automate deployments. Build and maintain CI/CD pipelines. Containerize applications using Docker. Deploy and manage applications using Kubernetes. Monitor applications using modern observability tools. Implement logging, monitoring, and alerting strategies.<br>Agile Development Work within Agile/Scrum development methodologies. Participate in sprint planning, backlog grooming, daily stand-ups, sprint reviews, and retrospectives. Collaborate with Product Owners, QA Engineers, UI/UX Designers, and Dev Ops teams. Estimate development tasks and deliver high-quality software within sprint timelines.<br>Collaboration & Project Management Use Jira for backlog management, sprint planning, issue tracking, and release management. Manage source code using Git and Git workflows (Git Flow or trunk-based development). Conduct peer code reviews and mentor junior developers. Contribute to technical documentation and architectural decisions.<br><br>Required Technical Skills Frontend React.js Java Script (ES6+) Type Script HTML5CSS3Backend Python Fast API (preferred) Django or Flask REST APIsArchitecture Microservices Architecture Distributed Systems Event-Driven Architecture API Gateway Multi-Tenant Saa S Architecture Domain-Driven Design (DDD) is a plus Databases Postgre SQLRedis Messaging Apache Kafka Dev Ops Docker Kubernetes CI/CD Pipelines Linux Nginx Reverse Proxy Configuration Version Control & Collaboration Git Git Hub/Git Lab/Bitbucket Jira Cloud Platforms Experience with one or more:Microsoft Azure AWSGoogle Cloud Platform (GCP)<br><br>Required Experience Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.5+ years of professional software development experience. Proven experience building enterprise Saa S applications. Experience managing the complete architecture of a Saa S platform supporting multiple applications or products. Strong experience designing and implementing Microservices Architecture. Experience with distributed systems and event-driven design. Strong knowledge of Postgre SQL database design and optimization. Hands-on experience with Redis caching. Strong experience with Apache Kafka. Experience building scalable REST APIs. Experience working in Agile/Scrum environments. Strong knowledge of Git and collaborative development workflows. Experience using Jira for Agile project management. Familiarity with Dev Ops practices, CI/CD pipelines, Docker, and Kubernetes. Excellent problem-solving, communication, and technical leadership skills.<br><br>Preferred Qualifications Experience building Field Service Management (FSM), ERP, CRM, or enterprise business applications is a plus. Experience with Saudi Arabian business regulations and integrations such as ZATCA e-Invoicing. Experience with payment gateway integrations. Experience implementing monitoring and observability platforms. Knowledge of cybersecurity best practices and OWASP guidelines. Previous experience mentoring software engineers or leading development teams.<br><br>What We Offer Opportunity to architect and build a next-generation Saa S platform. Work on modern cloud-native technologies. Ownership of technical decisions and platform evolution. Co-Founder Packages. Competitive salary and performance-based incentives.

<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: 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>8+ 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>Why this is hard: Frontier models are already good at coding. Creating a task that genuinely challenges the best models is non-trivial. You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution. Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.</p><p>How it works</p><ol><li>Apply</li><li>Pass qualification(s)</li><li>Join a project</li><li>Complete tasks</li><li>Get paid</li></ol><p>Effort estimate Tasks for this project are estimated to take 30 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.</p><p>Compensation: Up to $200/hr equivalent , depending on level and pace. Tasks are estimated at ~30 hours each; you set your own schedule.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>8+ 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>

<h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">About EPAM Systems</h3> <p style="margin:0 0 12px; ************;">EPAM Systems, established in 1993, is a global provider of digital platform engineering and software development services. The company supports clients in navigating digital transformation by delivering innovative solutions designed to maintain competitiveness in evolving markets. Operating in Saudi Arabia, with offices in Riyadh and Al Khobar, EPAM offers engineering, strategy, design, consulting, and innovation services across various industries.</p> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">The Role of a DevOps Engineer</h3> <p style="margin:0 0 12px; ************;">EPAM Systems is seeking a <strong style="font-weight:700;">DevOps Engineer</strong> to join its team in Al Khobar, Eastern, Saudi Arabia. This full-time, on-site role involves direct collaboration with customer infrastructure teams to prepare, deploy, and troubleshoot solutions within client environments. The successful candidate will ensure infrastructure readiness, manage deployments on containerized platforms such as OpenShift, and uphold best practices for security, scalability, and reliability, contributing significantly to high-quality client engagements.</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;">Collaborate with customer infrastructure teams to validate and prepare environments before deployments.</li> <li style="margin:0 0 6px;">Deploy, configure, and maintain company solutions on client infrastructure.</li> <li style="margin:0 0 6px;">Troubleshoot performance, deployment, and infrastructure issues across various environments.</li> <li style="margin:0 0 6px;">Manage and support containerized deployments and maintain environments running on OpenShift.</li> <li style="margin:0 0 6px;">Work with development and support teams to efficiently resolve technical issues.</li> <li style="margin:0 0 6px;">Perform minor modifications and troubleshoot Python code as needed.</li> <li style="margin:0 0 6px;">Ensure deployments adhere to best practices in security and performance.</li> <li style="margin:0 0 6px;">Document deployment processes, configurations, and troubleshooting steps.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Required Qualifications</h3> <ul style="margin:0 0 12px; padding-inline-start:24px; list-style-type:disc; list-style-position:outside;"> <li style="margin:0 0 6px;">Proven hands-on DevOps experience in customer-facing or production environments, with 2-5 years of relevant experience.</li> <li style="margin:0 0 6px;">Strong knowledge of containers and container-based deployments (*, Docker or similar).</li> <li style="margin:0 0 6px;">Practical experience with OpenShift, including installation and operations.</li> <li style="margin:0 0 6px;">Familiarity with CI/CD pipelines and deployment automation.</li> <li style="margin:0 0 6px;">Ability to read and make minor changes to Python code.</li> <li style="margin:0 0 6px;">Experience managing Linux-based environments.</li> <li style="margin:0 0 6px;">Understanding of networking, storage, and basic cloud or on-premises infrastructure concepts.</li> <li style="margin:0 0 6px;">A valid <strong style="font-weight:700;">SCE (Saudi Council of Engineers) certificate</strong> with an IT-related discipline is required for this position.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Desirable 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;">Exposure to the Kubernetes ecosystem and modern container orchestration tools.</li> <li style="margin:0 0 6px;">Experience with configuration management and automation tools.</li> <li style="margin:0 0 6px;">Knowledge of monitoring solutions and troubleshooting network/infrastructure issues.</li> </ul> <h3 style="font-size:18px; font-weight:700; margin:16px 0 8px;">Work Environment and Experience</h3> <p style="margin:0 0 12px; ************;">This is a full-time, on-site position based in Al Khobar, Saudi Arabia. The role requires a professional with 2-5 years of experience in DevOps, ready to contribute to client engagements within a dynamic environment.</p>

CORE MISSION:Harness AI to scale our creative production. Build, optimize, and evolve our AI workflows and capabilities to deliver faster, better results.<br>CORE RESPONSIBILITIES:<br>- Build and maintain AI skills/capabilities for creative tasks- Optimize and refine Claude prompts for high-quality outputs- Develop agentic workflows and automation using Claude and other AI tools- Harness new AI models and Claude features as they become available- Evaluate and integrate new AI platforms and capabilities- Test, measure, and improve performance across all workflows- Identify bottlenecks and implement solutions for speed and reliability- Document best practices and create internal runbooks- Stay current on AI developments and recommend innovations<br>SKILLS REQUIRED:- Claude expert—deep expertise with Claude API, models, and capabilities- Strong understanding of how to work with large language models- Experience building with APIs or scripting (Python/Node.js)- Ability to develop, test, and iterate on AI solutions- Systems thinking and process optimization mindset- Attention to detail on quality- Problem-solving and experimentation skills<br>NICE-TO-HAVE:- Background in Dev Ops, automation, or workflow optimization- Experience with agentic AI or multi-step workflows- Experience building internal tools- Familiarity with multiple AI platforms and tools

Job Title – Gen AI - Data Scientist Company – TCS (MEA) Location – Dhahran, Saudi Arabia Job type – Full time 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. Job Description:<br> Hands-on AI Engineer with strong implementation experience in Generative AI, Agentic AI, and Time Series ML models.<br> Key Skills:<br>Design and deploy Gen AI solutions using LLMs, RAG, embeddings, vector databases, and prompt engineering. Build Agentic AI applications using Lang Graph, Lang Chain, Crew AI, Auto Gen, including multi-agent workflows, tool calling, and memory. Develop and deploy Time Series forecasting and anomaly detection models. Production deployment using Python, Fast API, ML flow, Docker, Kubernetes, CI/CD, and cloud platforms (AWS/GCP/Azure).<br> Experience:<br> Proven end-to-end implementation of production-grade AI solutions.<br>Application Deadline: 30-August-2026 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><strong>Responsibilities:</strong></p><ul><li>Strategic Thought Leadership Define the long term vision for log data acquisition, normalization, and analytics across all service lines. Publish whitepapers, best practice guides, and thought leadership content for internal and external audiences.</li><li>Enterprise Architecture &amp; Governance Architect enterprise scale telemetry frameworks that span on premise, cloud, and OT environments.</li><li>Advisory &amp; Client Engagement Serve as the senior technical advisor for strategic customers, presenting roadmap recommendations and risk assessments. Conduct executive level workshops and security posture reviews for tiering, identifying clients risks and delivering actionable recommendations. Evaluate and recommend emerging technologies (e.g., graph analytics, zero trust telemetry).</li><li>Performance &amp; Quality Excellence Define KPIs for ingestion latency, data fidelity, and detection efficacy. Champion the implementation of automated quality gates and continuous improvement loops. Handle and train the team members for complex MDR integration tasks. Define operation standards, plans, guidelines and ensure team is in compliance with the defined procedure. Automate and optimize onboarding tasks.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor s degree in Computer Science, Cybersecurity, Information Systems, or a related field</li><li>9+ years of experience with SIEM platforms, log engineering, and security operations.</li><li>Deep knowledge of SIEM architectures (e.g., Splunk, QRadar, Elastic, Azure Sentinel). Mastery of log formats, protocols, and data models (CEF, JSON, Syslog, OpenTelemetry). Advanced scripting/programming (Python, PowerShell, Bash, Go) and automation tools (Ansible, Terraform, Jenkins). Experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, Azure, GCP).</li><li>Strong analytical, troubleshooting, and communication skills Ability to manage priorities and work cross-functionally in a fast-paced environment</li><li>CISSP, CISM, or equivalent. Vendor-specific SIEM certifications (e.g., Splunk Certified Architect). Cloud security certifications (CCSP, AWS Security Specialty)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AI Operations Engineer Position Overview We are seeking an AI Operations Engineer to operate and maintain a GPU-accelerated AI inference platform. This is a hands-on technical role responsible for the day-to-day operations of LLM serving infrastructure from bare-metal OS provisioning through production model deployment, monitoring, and capacity planning. The platform serves large language models to internal applications. You will be the dedicated engineer ensuring this infrastructure is reliable, performant, and ready to absorb new models and workloads as requirements evolve. Compensation &amp; Benefits We offer a comprehensive expat/travel benefits package to ensure a seamless transition and comfortable stay. Fully Covered Accommodations: Premium housing/accommodation provided. Meals &amp; Dining: Full food and dining arrangements taken care of by the company. Travel &amp; Commute: Comprehensive coverage of international flight tickets and all local business-related transportation. Visa Sponsorship: End-to-end processing and cost management for work visas and legal documentation. Per Diem Allowance: A daily out-of-pocket allowance (Per Diem) will be provided, with the exact structure and commercial terms finalized upon onboarding/joining. Key Responsibility Infrastructure Provisioning &amp; Automation OS to Production: Provision, harden, and patch vanilla Linux, installing GPU drivers, Python, and inference engines. IaC Automation: Maintain version-controlled infrastructure-as-code for repeatable fleet deployments. Air-Gapped Workflows: Manage offline, restricted-network deployments and local model distribution. Container Management: Configure containerized workloads, database backends, and reverse proxies. LLM Inference Engine Operations Engine Deployment: Deploy and maintain LLM inference serving engines across enterprise GPUs. Multi-GPU Sharding: Configure model sharding based on size, topology, and workload requirements. Quantization &amp; Sizing: Manage quantization trade-offs and calculate GPU memory/cache sizing for optimal concurrency. Feature Config: Set up and troubleshoot tool calling, reasoning modes, and multimodal serving. Model Evaluation: Benchmark and deploy new model releases for quality, accuracy, and throughput. API Gateway &amp; Traffic Management Gateway Operations: Configure routing, load balancing, API keys, token counting, and usage tracking. Support Services: Manage gateway-adjacent database backends, caching layers, and reverse proxies. Traffic Diagnosis: Troubleshoot full-path request issues using HTTP, streaming (SSE), and OpenAI API conventions. Monitoring, Reporting, &amp; Cost Analysis Observability Stack: Own metrics collection, dashboards, and GPU-level telemetry (power, temp, VRAM). Operational Metrics: Report on throughput, latencies (p50/p95/p99), queue depth, and tokens per second. Cost Attribution: Deliver token-level cost analysis and usage reporting per user and application. Alert Management: Define and monitor thresholds for hardware health and capacity degradation. Capacity Planning &amp; Performance Engineering Fleet Scaling: Analyze throughput across GPU configs to guide procurement and fleet planning. Benchmarking: Validate new models and quantization methods before production rollout. Optimization: Resolve performance bottlenecks across drivers, runtimes, and network layers. Developer Collaboration &amp; Prompt Engineering Workload Onboarding: Partner with app teams to onboard workloads onto the inference platform. Prompt &amp; Param Tuning: Recommend prompt and parameter adjustments to optimize token usage and model output. Issue Isolation: Troubleshoot model behavior to isolate prompt/model limits from infrastructure bugs. Fine-Tuning (Foundational) Workflow Support: Understand fine-tuning fundamentals (LoRA/QLoRA) to assist ML teams with dataset and training workflows. Model Deployment: Deploy fine-tuned models and manage their distinct serving requirements. Technical Skills Operating Systems: Linux administration (RHEL family preferred), including kernel tuning, service management, storage, and network configuration. GPU and AI Stack: NVIDIA drivers and toolkits, LLM inference engines, model quantization techniques, multi-GPU parallelism concepts. Networking: HTTP/HTTPS, reverse proxy configuration, TLS/SSL, firewall management, network file systems, and load balancing concepts. Monitoring: Metrics collection, visualization, and alerting using industry-standard observability tools. Automation: Configuration management (Ansible preferred), shell scripting, Python for operational tooling. Version Control: Git with disciplined branching, tagging, and commit practices. Python: Virtual environments, dependency management, and debugging Python-based services. Soft Skills Ability to work independently and take ownership of infrastructure decisions with minimal supervision. Clear technical communication able to document procedures, write runbooks, and explain infrastructure constraints to development teams. Methodical troubleshooting approach: isolate variables, reproduce issues, document root causes and fixes. Comfort operating in environments with data sovereignty requirements and restricted internet access Required Qualifications Experience Minimum 4 years of hands-on experience in Linux systems engineering, with at least 2 years involving GPU infrastructure or ML/AI workloads. Demonstrated experience deploying and operating LLM inference engines in production environments. Strong working knowledge of the NVIDIA GPU software stack: drivers, toolkits, runtime libraries, and common failure modes. Experience with infrastructure-as-code and configuration management tools. Solid understanding of Linux containerization technologies, including rootless operation and service management integration Preferred Qualifications Experience with LLM API gateway or proxy solutions for multi-model routing and management. Familiarity with LLM fine-tuning workflows (LoRA, QLoRA, dataset preparation, evaluation). Experience with air-gapped or restricted-network deployments. Knowledge of Arabic NLP or multilingual model evaluation. Experience scaling GPU infrastructure across growing fleet sizes. Familiarity with cloud GPU providers and bare-metal GPU hosting environments. Understanding of Mixture of Experts (MoE) model architectures and their serving implications Note: We required immediate joiners only.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 4 years of hands-on experience in Linux systems engineering, with at least 2 years involving GPU infrastructure or ML/AI workloads.</li><li>Demonstrated experience deploying and operating LLM inference engines in production environments.</li><li>Strong working knowledge of the NVIDIA GPU software stack: drivers, toolkits, runtime libraries, and common failure modes.</li><li>Experience with infrastructure-as-code and configuration management tools.</li><li>Solid understanding of Linux containerization technologies, including rootless operation and service management integration</li><li>Experience with LLM API gateway or proxy solutions for multi-model routing and management.</li><li>Familiarity with LLM fine-tuning workflows (LoRA, QLoRA, dataset preparation, evaluation).</li><li>Experience with air-gapped or restricted-network deployments.</li><li>Knowledge of Arabic NLP or multilingual model evaluation.</li><li>Experience scaling GPU infrastructure across growing fleet sizes.</li><li>Familiarity with cloud GPU providers and bare-metal GPU hosting environments.</li><li>Understanding of Mixture of Experts (MoE) model architectures and their serving implications</li><li>Ability to work independently and take ownership of infrastructure decisions with minimal supervision.</li><li>Clear technical communication able to document procedures, write runbooks, and explain infrastructure constraints to development teams.</li><li>Methodical troubleshooting approach: isolate variables, reproduce issues, document root causes and fixes.</li><li>Comfort operating in environments with data sovereignty requirements and restricted internet access</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 orchestrating the best high-performing team, and building it from the ground up in Saudi Arabia! This role is part of Yuno's Graduate Program, designed for ambitious fresh graduates looking for their first full-time opportunity. As a Junior Developer, you'll join our Engineering team, working closely with Product and Solutions Engineering to help build the core services that power Yuno's payments orchestration platform while helping shape what our presence in Saudi Arabia looks like. This is a full-time position and a genuine first step into a career in software engineering at a global fintech.</p><p>Your contribution will be</p><ul><li>Build and maintain, under the guidance of senior engineers, backend services and APIs.</li><li>Collaborate with Product Owners and Solutions Engineers to turn requirements into working solutions.</li><li>Write clean, well-tested, and well-documented code.</li><li>Participate in code reviews and learn engineering best practices from the team.</li><li>Help troubleshoot and resolve production issues alongside support and solutions teams.</li><li>Help shape how Yuno's engineering presence grows in the Saudi market.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Fluent in Arabic and English.</li><li>Recent graduate (or graduating before the start date), in Computer Science, Software Engineering, or a related field, and able to work full-time.</li><li>Solid foundation in at least one modern programming language (e.g., Node.js, Go, Python, Java).</li><li>Understanding of REST APIs, databases, and core programming fundamentals from coursework or projects.</li><li>Eagerness to learn and grow in a fast-paced, ground-floor startup environment.</li><li>Personal projects, hackathons, or open-source contributions.</li><li>Internship experience in software development.</li><li>Exposure to cloud environments (AWS, GCP, or Azure) or AI-assisted development tools.</li><li>Interest in payments, fintech, or high-volume transactional systems.</li></ul><p></p></section>

Software Engineer - Be Part of a Legacy Bigger Than the Game<br>At Al-Qadsiah Club we’re creating more than teams - we’re crafting a legacy that goes beyond the game, making an impact both on and off the field. Driven by ambition, synergy, and innovation, we aim to inspire generations while shaping the future of Saudi sports.<br>This is more than just a job - it’s an opportunity to be part of something larger than yourself. At Al-Qadsiah, you’ll play a key role in shaping our legacy, contributing to the nation’s sports vision, and making history every step of the way.<br>Overview:As the Software Engineer at Al-Qadsiah Club, you will develop and maintain Al Qadsiah’s in-house dashboard application, and cloud infrastructure supporting the increased use of data within the First Team and Academy. This role will enhance the club’s technology infrastructure and data-driven decision-making processes.<br>Key Responsibilities:<br>Application Development Develop and maintain an in-house dashboard for football analytics. Implement front-end and back-end solutions. Design user-friendly interfaces and improve usability based on feedback from stakeholders. Optimize application performance and ensure scalability to handle increasing data loads.<br>Data Management and Integration Design and manage data pipelines, integrating multiple sources using Python and SQL. Maintain and optimize databases (MySQL, Postgre SQL).<br>Cloud Infrastructure Deploy and manage cloud-based solutions using Google Cloud Platform. Ensure cloud security, networking, and infrastructure reliability. Optimize cloud resource allocation for cost efficiency and scalability. Manage cloud-based storage solutions for high-performance data access and retrieval. Manage the Kubernetes / Docker ecosystems<br>Collaboration and Stakeholder Engagement Work with data and video analysts, coaches, performance and technical staff to deliver effective tools. Present technical solutions to non-technical stakeholders.<br>Qualifications:<br>Essential:Bachelor’s degree in Computer Science, Software Engineering or relevant field Master’s degree in Computer Science, Software Engineering or equivalent experience<br>Skills, Knowledge and Experience:<br>Essential:Proficiency in Python and data visualization libraries (pandas, matplotlib, seaborn, Plotly, Dash) Experience with Django and API development (Flask, Fast API) Knowledge of Google Cloud Platform (Big Query, Cloud Networking, Google Kubernetes Engine) Experience with Java Script, Type Script, and React Native/Flutter Strong understanding of Docker and Kubernetes Experience with Git Hub for version control Strong problem-solving skills and ability to work in a fast-paced football environment Ability to present and explain technical solutions to non-technical stakeholders<br>Desirable:Strong SQL (MySQL, Postgre SQL) knowledge<br>Why Join Al-Qadsiah? Be Part of the Legacy: Join a club that’s redefining the future of Saudi sports, striving to lead the competition and set new standards of excellence. Experience the Culture: Thrive in an environment that values quality, accountability, diversity, synergy, innovation, and ambition, while embracing harmony—this is the Qadsiah Way.<br>The Executives in Sport Group are retained on behalf of Al Qadsiah SC to make this appointment. All direct applications and CVs will be forwarded to The Executives in Sport Group.<br>If this role is of interest, then please press the apply button and include a copy of your CV.