office administrator

account manager

communication associate

operations manager

ai automation (llms, rag) engineer Jobs in Riyadh

ai automation (llms, rag) engineer

ai agent operator

Career Maker

Key ResponsibilitiesAI Agent Operation &amp; Workflow Management<ul><li>Configure, deploy, and manage AI content generation agents on Dar Global's Agentic Platform and SENTIO infrastructure and other AI content generation tools to produce copy, scripts, imagery concepts, video briefs, Vidoes and social content at scale.</li><li>Design, test, and iterate prompt engineering frameworks tailored to Dar Global's brand voice, property portfolio, and target audiences across all markets.</li><li>Build and maintain automated content generation workflows that integrate seamlessly with the broader editorial and production pipeline.</li><li>Monitor agent performance continuously &mdash; tracking output quality, task completion rates, and processing efficiency &mdash; and implement improvements proactively.</li><li>Manage multiple concurrent agent tasks across different content types, markets, and campaign priorities, ensuring deadlines are consistently met.</li></ul>Content Generation &amp; Editorial Quality Control<ul><li>Operate AI agents to generate first-draft written content across formats including property descriptions, social media captions, email copy, ad scripts, video narrations, and campaign briefs.</li><li>Apply rigorous quality assurance to all AI-generated outputs before submission for editorial review &mdash; checking for factual accuracy, brand voice alignment, grammatical correctness, cultural sensitivity, and regulatory compliance.</li><li>Collaborate with the Copy / Script Supervisor to refine AI-generated drafts, incorporating editorial feedback to improve both the immediate output and the underlying prompt frameworks.</li><li>Support the Video Director by generating AI-assisted video treatment outlines, shot-list suggestions, and script scaffolds for production review.</li><li>Work with the Graphic Designer to produce AI-generated visual concept descriptions, mood board narratives, and copy for brochures and digital assets.</li></ul>Platform Intelligence &amp; Optimisation<ul><li>Maintain a library of prompt templates, agent configuration files, and workflow blueprints that the wider Content team can leverage for repeatable content tasks.</li><li>Analyse content performance data in collaboration with the Media Activation and Lead Generation teams to identify which AI-generated content formats and topics drive the strongest engagement and conversion outcomes.</li><li>Conduct regular A/B testing of prompt variants and agent configurations to continuously improve the quality and relevance of AI outputs.</li><li>Stay at the forefront of developments in large language models, multimodal AI, and agentic systems, evaluating their applicability to Dar Global's content needs.</li><li>Document all agent workflows, prompt libraries, and standard operating procedures, maintaining an up-to-date operational knowledge base for the team.</li></ul>Cross-Functional Collaboration<ul><li>Partner with the Social Channels Management team to generate platform-specific content at volume &mdash; adapting AI outputs for Instagram, LinkedIn, X, YouTube, TikTok, and emerging channels.</li><li>Support the Media Activation / Paid Media team with rapid generation of ad copy variants for multivariate testing across paid campaigns.</li><li>Assist the Lead Generation &amp; Management team by generating personalised CRM content, property match narratives, and nurture sequence copy through AI workflows.</li><li>Liaise with the AI &amp; Data Engineers on the Shared AI Platform team to report technical issues, request workflow enhancements, and ensure smooth platform operations.</li><li>Collaborate with regional marketing teams to develop market-localised prompt frameworks that reflect the cultural nuances of each of Dar Global's operating territories.</li></ul>Person SpecificationEssential Qualifications &amp; Experience<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Digital Media, Marketing Technology, Linguistics, or a related discipline; equivalent professional experience will be considered.</li><li>3+ years of hands-on experience working with large language models (LLMs), generative AI tools, or AI content platforms in a professional context.</li><li>Demonstrable expertise in prompt engineering &mdash; with a portfolio or evidence of prompts developed for real-world content production use cases.</li><li>Experience operating or configuring AI agent frameworks (e.g. LangChain, AutoGen, CrewAI, or proprietary agentic systems) in a content or marketing context.</li><li>Strong working knowledge of at least one major AI content platform (e.g. OpenAI API, Anthropic Claude, Google Gemini, Midjourney, Runway, ElevenLabs, or equivalent).</li><li>Solid understanding of content marketing principles and the ability to assess written and multimedia content quality against editorial and brand standards.</li></ul>Skills &amp; Competencies<ul><li>Exceptional prompt engineering skills &mdash; able to craft, test, and iterate prompts that produce consistently high-quality, on-brand outputs across diverse content formats.</li><li>Strong analytical and systems-thinking mindset &mdash; able to design structured workflows, identify failure points, and optimise processes methodically.</li><li>High editorial judgement: able to critically evaluate AI-generated content for quality, accuracy, appropriateness, and brand fit before it reaches human reviewers.</li><li>Comfortable operating at the intersection of technology and creativity &mdash; equally at ease discussing model parameters and brand storytelling.</li><li>Organised and methodical, with the ability to manage a high volume of concurrent AI tasks without compromising on output quality.</li><li>Clear communicator &mdash; able to explain AI capabilities and limitations to non-technical creative colleagues with confidence and clarity.</li><li>A genuine passion for the responsible and innovative use of AI in a commercial creative environment.</li><li>Familiarity with MENA cultural context and content sensitivities relevant to AI-generated outputs.</li><li>Arabic language proficiency &mdash; advantageous for reviewing and prompting AI outputs for MENA markets.</li></ul>Desirable<ul><li>Experience working in a luxury brand, real estate, property technology, or financial services environment.</li><li>Knowledge of Python or scripting languages for automating agent workflows and API integrations.</li><li>Understanding of SEO best practices and how AI-generated content can be optimised for search.</li><li>Experience with multimodal AI tools covering image generation, video synthesis, and voice synthesis.</li></ul>Application Question(s):<ul><li>Please note this is remote work available to only Arabic speakers. Could you please confirm your nationality</li><li>How many years of hands-on experience working with large language models (LLMs), generative AI tools, or AI content platforms in a professional context?</li></ul>Work Location: In person

AI Agent Operator

JODAYN

<div>Jodayn is seeking a highly skilled Senior AI Product Engineer to lead the design, development, and deployment of enterprise-grade artificial intelligence solutions and intelligent automation platforms.
The successful candidate will play a critical role in developing scalable AI-powered products and reusable enterprise AI services that support digital transformation, governance automation, proposal evaluation, intelligent document processing, and enterprise workflow optimisation.
This role requires a strong engineering mindset combined with hands-on experience in modern AI frameworks, large language model integration, AI orchestration, backend engineering, and enterprise solution development.
The ideal candidate must be capable of independently designing and delivering production-ready AI systems in fast-paced enterprise environments. 
Requirements 
AI Platform Engineering<ul><li>
Design, develop, and maintain scalable enterprise AI platforms and intelligent automation solutions</li><li>
Build modular and reusable AI services and APIs</li><li>
Develop AI-powered workflow automation systems and intelligent orchestration pipelines</li><li>
Design and implement scalable backend architectures supporting AI workloads</li></ul>
Agentic AI Development<ul><li>
Build autonomous and semi-autonomous AI agents</li><li>
Develop multi-agent orchestration workflows and task delegation systems</li><li>
Implement memory management and contextual reasoning capabilities</li><li>
Integrate AI systems with external tools, APIs, and enterprise applications</li></ul>
Large Language Model Integration<ul><li>
Integrate and optimise large language model services including Claude, OpenAI, and open-source models</li><li>
Develop prompt orchestration pipelines and retrieval-augmented generation architectures</li><li>
Implement vector database integration and semantic search capabilities</li><li>
Optimise model performance, response quality, and operational efficiency</li></ul>
Enterprise System Integration<ul><li>
Integrate AI platforms with enterprise systems, collaboration tools, and document repositories</li><li>
Develop secure API integration patterns</li><li>
Support authentication and identity integration requirements</li><li>
Build AI-enabled enterprise workflow capabilities</li></ul>
Proposal &amp; Compliance Automation<ul><li>
Develop intelligent proposal generation and evaluation systems</li><li>
Build compliance validation and document inspection workflows</li><li>
Implement AI-assisted scoring and recommendation engines</li><li>
Support enterprise governance automation initiatives</li></ul>
Infrastructure &amp; Deployment<ul><li>
Deploy AI applications in cloud, hybrid, and on-premise environments</li><li>
Configure logging, observability, monitoring, and operational diagnostics</li><li>
Support containerisation and deployment automation practices</li><li>
Optimise infrastructure scalability and operational cost efficiency</li></ul> 
Required Qualifications
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or related field</li><li>
Master&rsquo;s degree is preferred but not mandatory</li></ul>
Experience<ul><li>
Minimum 7 years of software engineering experience</li><li>
Minimum 3 years practical experience developing AI-powered applications</li><li>
Proven experience building and deploying production-grade AI systems</li><li>
Experience working in enterprise or regulated environments preferred</li></ul>
Required Technical Skills
Programming &amp; Backend Development<ul><li>
Python</li><li>
FastAPI or equivalent backend frameworks</li><li>
RESTful APIs</li><li>
PostgreSQL or equivalent databases</li><li>
Git and version control systems</li></ul>
AI Technologies<ul><li>
Claude APIs</li><li>
OpenAI APIs</li><li>
LangGraph</li><li>
LangChain</li><li>
Retrieval-Augmented Generation</li><li>
Vector databases</li><li>
Prompt orchestration</li><li>
AI workflow automation</li></ul>
Frontend &amp; Integration<ul><li>
React or Next.js</li><li>
API integration</li><li>
Authentication and access control concepts</li></ul>
Infrastructure &amp; DevOps<ul><li>
Docker</li><li>
Linux environments</li><li>
CI/CD pipelines</li><li>
Cloud deployment concepts</li></ul>
Preferred Skills<ul><li>
Experience with enterprise AI governance solutions</li><li>
Experience with intelligent document processing systems</li><li>
Experience using AI-assisted development tools</li><li>
Exposure to multi-agent systems and orchestration frameworks</li><li>
Familiarity with enterprise architecture concepts</li></ul> 
Core Competencies<ul><li>
Strong analytical and problem-solving skills</li><li>
Ability to independently deliver complex technical solutions</li><li>
Strong software design capability</li><li>
Fast execution and delivery orientation</li><li>
Excellent communication and documentation skills</li><li>
Ability to work in fast-paced enterprise environments</li></ul></div>

Senior AI Product Engineer

Nameless Ventures

<div>
 
 Looks like your next bAIg move!
 
 
 
 
 
 Get it? AI, Big, BAIg? Ok i'll stop now.
 
 
 
 
 
 We&rsquo;ve partnered with a stealth-mode AI delivery company operating at the heart of some of the most strategic initiatives in Saudi Arabia. They work directly with major enterprises and government-backed entities, embedding engineers on-site to build and deploy real AI systems in production - not just talk about them.
 
 
 
 
 
 They are now looking for Forward Deployed Engineers (FDEs) to join their founding team in KSA!
 
 
 
 
 
 🚀
 
 The Role:
 
 
 
 You&rsquo;ll be embedded directly within client environments, working side-by-side with stakeholders to identify real business problems and build AI-driven solutions from scratch.
 
 
 We&rsquo;re talking:
 
 
 &rarr; LLMs, RAG pipelines, agent-based systems
 
 
 &rarr; Integrations with enterprise platforms (SAP, Oracle, etc.)
 
 
 &rarr; Full ownership from problem &rarr; architecture &rarr; build &rarr; deployment
 
 
 
 
 
 In simple terms: You build it. You ship it. You own it.
 
 
 
 
 
 
 ✅ What You&rsquo;ll Already Have:
 
 
 
 -4+ years of experience in backend / data / software engineering
 
 
 -Python wizard
 
 
 -Exposure to AI / LLMs / data pipelines (RAG, agents, etc.)
 
 
 -Strong communication skills - able to work directly with clients
 
 
 -Comfortable working on-site and traveling across the region
 
 
 -Arabic fluency is the cherry on top
 
 
 
 
 
 
 🎁 Package &amp; Benefits:
 
 
 
 -Salary: Up to 75,000 SAR/month + 20% bonus (mid-level roles range between 40&ndash;50K SAR/month)
 
 
 -Housing, transport, and schooling support (Nice, eh?)
 
 
 -High-impact work across some of the region&rsquo;s most important organisations
 
 
 -Opportunity to be part of a founding AI engineering team in KSA
 
 
 
 
 
 Hit that apply button or drop me a message and we&rsquo;ll take it from there 👀
 
</div>

Forward Deployed Engineer

Datamatics Global Services Ltd

<div>Position Title : AI/ML Engineer &ndash; Agentic AI 
Experience Required: 4&ndash;6 Years (Should be open to Travel) 
Employment Type : Full-Time - Riyadh - Onsite 
 
Job Overview 
We are seeking a highly skilled AI/ML Engineer with hands-on experience in building intelligent AI systems, machine learning models, and Agentic AI solutions. The ideal candidate will have strong expertise in designing, developing, and deploying AI-powered applications leveraging LLMs, autonomous agents, orchestration frameworks, and modern ML techniques. 
The role requires a strong engineering mindset, practical AI implementation experience, and the ability to work across the full AI/ML lifecycle from experimentation to production deployment. 
 
Key Responsibilities<ul><li>
Design, develop, and deploy AI/ML solutions for real-world business use cases.</li><li>
Build and optimize Agentic AI systems using LLMs, autonomous workflows, and multi-agent architectures.</li><li>
Develop machine learning models for prediction, classification, recommendation, NLP, and automation tasks.</li><li>
Work with orchestration frameworks such as LangChain, CrewAI, AutoGen, LangGraph, or similar technologies.</li><li>
Integrate AI agents with APIs, databases, enterprise systems, and third-party tools.</li><li>
Fine-tune, evaluate, and optimize Large Language Models (LLMs).</li><li>
Develop Retrieval-Augmented Generation (RAG) pipelines and vector search implementations.</li><li>
Collaborate with data engineers, software developers, and product teams to deliver scalable AI solutions.</li><li>
Perform prompt engineering, model experimentation, and performance optimization.</li><li>
Ensure AI solutions are production-ready, scalable, secure, and cost-efficient.</li><li>
Monitor model performance, drift, and continuous improvement processes.</li><li>
Stay updated with emerging AI, Generative AI, and Agentic AI trends and technologies.</li></ul>
Required Skills &amp; Expertise<ul><li>
Strong hands-on experience in Machine Learning, Generative AI, and Agentic AI development.</li><li>
Proficiency in Python and AI/ML development frameworks.</li><li>
Experience with:<ul><li>
LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks</li><li>
OpenAI, Anthropic, Gemini, or open-source LLMs</li><li>
RAG architectures and Vector Databases</li><li>
Prompt Engineering &amp; AI workflow automation</li></ul></li><li>
Solid understanding of:<ul><li>
NLP concepts</li><li>
ML algorithms and model evaluation</li><li>
Deep Learning fundamentals</li><li>
AI model deployment and inference optimization</li></ul></li><li>
Experience with ML libraries/frameworks such as:<ul><li>
PyTorch</li><li>
TensorFlow</li><li>
Scikit-learn</li><li>
Hugging Face Transformers</li></ul></li><li>
Experience with cloud platforms such as Azure, AWS, or GCP is preferred.</li><li>
Familiarity with Docker, APIs, CI/CD, and MLOps practices.</li><li>
Strong problem-solving and analytical skills.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>
Experience working on enterprise AI automation or AI assistant platforms is highly preferred.</li><li>
Exposure to AI governance, evaluation frameworks, and AI observability tools is a plus.</li></ul> 

tTAmIvfFVv</div>

AI/ML Engineer – Agentic AI

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Software Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About Us
 
 
 
 Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You&rsquo;ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
 
 
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 
 
 
 
 About The Role
 
 
 
 
 We are seeking a Full-Stack Machine Learning Engineer to join our team, bridging AI solutions development with AI platform engineering for Qualcomm&rsquo;s AI Inference Suite and rack-scale data center deployments. This role involves designing, delivering, and supporting end-to-end AI services, agentic workflows, and fine-tuning pipelines, while enabling lifecycle automation, orchestration, and observability for large-scale data center environments.
 
 
 You will bring a strong combination of full-stack engineering expertise, machine learning proficiency, and infrastructure knowledge to build robust, scalable AI systems.
 
 
 
 
 Key Responsibilities Will Include:
 
 
 
 
 <ul>
 <li>
 API Development &amp; Optimization: Build and optimize API serving layers for AI inference workloads, ensuring model and hardware efficiency.
 </li>
 <li>
 Agentic Workflows &amp; RAG Pipelines: Develop intelligent agents and retrieval-augmented generation workflows using frameworks such as LangChain and crew.ai.
 </li>
 <li>
 Model Lifecycle Management: Implement production-grade bring-your-own-model and fine-tuning flows, including dataset ingestion, orchestration, evaluation, and deployment.
 </li>
 <li>
 LLM Runtime Integration: Work with various LLM runtimes (e.g., vLLM, Dynamo, llm-d) and leverage inference optimization techniques.
 </li>
 <li>
 SDK &amp; Tooling Contributions: Contribute to AI Inference Suite SDKs (Python/TypeScript/Java/Rust), CLI tools, and reference applications.
 </li>
 <li>
 Cluster Management: Design and maintain AI cluster management software for provisioning, orchestration, and monitoring.
 </li>
 <li>
 Telemetry &amp; Observability: Integrate out-of-band management via Redfish/IPMI and in-band telemetry using Prometheus/OpenTelemetry.
 </li>
 <li>
 Infrastructure-as-Code: Develop workflows using MAAS, Terraform, and Ansible for bare-metal and containerized deployments.
 </li>
 <li>
 Kubernetes Orchestration: Enable Kubernetes/Helm-based orchestration for inference clusters and multi-tenancy.
 </li>
 <li>
 Monitoring &amp; Dashboards: Build dashboards for rack health, inventory, and SLA compliance.
 </li>
 <li>
 Continuous Innovation: Stay current with GenAI trends, rack-scale AI orchestration, and data center best practices.
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 5+ years of software engineering experience; 3+ years in ML or HPC environments.
 </li>
 <li>
 Strong programming skills in Python, Rust/Go, and TypeScript, with solid software development fundamentals.
 </li>
 <li>
 Deep understanding of data structures and algorithms in distributed systems and high-performance computing contexts.
 </li>
 <li>
 Hands-on experience with Kubernetes, Helm, Prometheus/OpenTelemetry, and Ansible/Terraform.
 </li>
 <li>
 Practical experience with LLM runtimes, agent frameworks, and rack-scale orchestration.
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Computer Science, Machine Learning, or related field.
 </li>
 <li>
 Experience building inference and fine-tuning pipelines, as well as agentic workflows.
 </li>
 <li>
 Knowledge of data centre resource lifecycle management, out-of-band protocols (Redfish/IPMI), and MAAS/OpenStack.
 </li>
 <li>
 Exposure to scale-up data centre networking technologies (RoCE/RDMA/NVLink).
 </li>
 <li>
 Contributions to inference and GenAI model performance optimization.
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <ul>
 <li>
 Salary including housing &amp; transport allowance
 </li>
 <li>
 Stock (RSU's) and performance related bonus
 </li>
 <li>
 16 weeks fully paid Maternity Leave
 </li>
 <li>
 6 weeks fully paid Paternity Leave
 </li>
 <li>
 Employee stock purchase scheme
 </li>
 <li>
 Child Education Allowance
 </li>
 <li>
 Relocation and immigration support (if needed)
 </li>
 <li>
 Life and Medical Insurance
 </li>
 <li>
 Live+ Well Reimbursement for health and recreational membership fees
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
 <ul>
 <li>
 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
 </li>
 <li>
 References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
 
 
 
 </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 
 
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

Full Stack Machine Learning Engineer (Datacentre AI Engineering) - Riyadh, KSA

Senior Business Analyst

Adree

<div>The Senior DevOps Engineer will support Adree&rsquo;s product development and platform automation initiatives by applying technical and analytical expertise to communicate the value of secure, scalable digital solutions. The role bridges infrastructure automation with seamless product delivery, ensuring enterprise-grade reliability, standardized deployment paths, and full auditability through CI/CD, GitOps, automated testing gates, and configuration management.
Key Roles and Responsibilities<ul><li>
Engage with clients and stakeholders to gather platform requirements and understand digital transformation and automation goals.</li><li>
Deliver presentations and documentation that demonstrate CI/CD capabilities, including:
</li><li><ul><li>Agent pool management</li><li>
Environment provisioning</li><li>
Enterprise pipeline design</li></ul></li><li>
Support product and engineering teams by creating reusable pipeline templates and secure shared libraries in Azure DevOps Server.</li><li>
Provide DevOps expertise across the product lifecycle to:
</li><li><ul><li>Enforce complex branching strategies</li><li>
Optimize build runner performance</li><li>
Maintain Linux-based runner systems</li></ul></li><li>
Collaborate with cross-functional teams (Security and QA) to:
</li><li><ul><li>Manage 3rd-party libraries</li><li>
Integrate OpenText security tooling (Fortify SCA)</li><li>
Embed automated testing automation frameworks</li></ul></li><li>
Stay current with industry trends in containerization, automation workflows, and infrastructure delivery mechanisms to position solutions effectively.</li><li>
Conduct internal and client workshops to enable GitOps delivery and workload promotion using Argo CD to OpenShift/Kubernetes platforms.</li><li>
Participate in Agile development and release processes by integrating monitoring hooks and driving production deployment patterns, including:
</li><li><ul><li>AppDynamics / BMC / Azure Monitoring</li></ul></li></ul> 

Requirements 
 
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or a related technical field.</li></ul>
Experience<ul><li>
6&ndash;10+ years of professional experience in:
</li><li><ul><li>DevOps</li><li>
Site Reliability Engineering (SRE)</li><li>
Build &amp; Release automation in enterprise environments
</li></ul></li><li>Proven, hands-on production delivery exposure (e.g., scaling live environments, not only sandbox/testing environments).</li><li>
Experience in government, heavily regulated, or complex enterprise sectors is highly preferred.</li></ul>
Skills &amp; Competencies (Technical &amp; Analytical + Soft)
<ul><li>Deep expertise in:
</li><li><ul><li>CI/CD pipeline engineering and secure pipeline patterns</li><li>
Agent pool configuration</li><li>
Advanced branching strategies</li></ul></li><li>
Strong hands-on containerization and orchestration experience:
</li><li><ul><li>Docker</li><li>
Kubernetes</li><li>
Red Hat OpenShift</li></ul></li><li>
Practical infrastructure automation skills:
</li><li><ul><li>Infrastructure-as-Code (Terraform)</li><li>
Configuration management (Ansible)</li><li>
Linux administration and systems scripting</li></ul></li><li>
Familiarity with enterprise artifact and dependency management:
</li><li><ul><li>JFrog Artifactory</li><li>
Binary artifact and 3rd-party library handling</li></ul></li><li>
Analytical capability to implement secure application pipelines, including:
</li><li><ul><li>Fortify SCA</li><li>
HashiCorp Vault secrets</li><li>
Sigstore / SecurEnvoy MFA verification setups</li></ul></li><li>
Strong soft skills:
</li><li><ul><li>Excellent communication</li><li>
Coaching mindset</li><li>
Cross-team collaboration (Developers, Security, QA)</li><li>
High ownership and accountability</li></ul></li></ul>
Experience Summary (Must-Have Themes)
<ul><li>Enterprise-grade CI/CD template design and multi-agent pool management</li><li>
Core infrastructure automation using IaC and configuration management</li><li>
GitOps continuous delivery execution into live production</li><li>
CI/CD + automation testing frameworks integrated with OpenText security validation</li><li>
Third-party library compliance management and secure artifact storage</li><li>
Production-level application profiling and monitoring hook setups</li><li>
Documentation authorship</li></ul>
Additional Notes<ul><li>
Travel for client-facing activities</li></ul>
Job Location<ul><li>
HQ</li></ul></div>

Devops Engineer, Senior

Explore 83+ Ai agent operator in Riyadh this June. Find roles across top companies and apply now to boost your career.