senior devops engineer

JAWRAA

<div>
 
 Jawraa is a leading digital transformation partner committed to empowering businesses in Saudi Arabia. With over two decades of experience, we've helped organizations navigate the evolving digital landscape and achieve their goals. Our deep industry expertise and strategic partnerships with top-tier technology providers set us apart.
 
 
 
 
 
 
 About the job :
 
 
 
 We are looking for a Senior Cloud Engineer with deep expertise in Google Cloud Platform (GCP) to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable, secure, and highly available cloud infrastructure that powers our core products and services. You will partner with software engineers, data teams, and security to lead cloud-native transformation initiatives and champion best practices across the organization.
 
 
 
 
 
 
 Key Responsibilities :
 
 
 
 
 Infrastructure Architecture &amp; Design
 
 
 
 &bull; Architect and implement highly available, fault-tolerant, and scalable cloud solutions on GCP
 
 
 &bull; Lead the design of GCP-native infrastructure using services such as GKE, Cloud Run, Compute Engine, Cloud SQL, BigQuery, Pub/Sub, and Cloud Storage
 
 
 &bull; Define infrastructure standards, patterns, and reference architectures for engineering teams
 
 
 
 
 
 
 DevOps &amp; Automation
 
 
 
 &bull; Build and maintain Infrastructure as Code (IaC) using Terraform and Google Deployment Manager
 
 
 &bull; Design and manage CI/CD pipelines using Cloud Build, GitHub Actions, or similar tooling
 
 
 &bull; Automate cloud operations, monitoring, and remediation using scripting (Python, Bash, Go)
 
 
 
 
 
 
 Security &amp; Compliance
 
 
 
 &bull; Implement and enforce GCP security best practices including IAM, VPC Service Controls, and Cloud Armor
 
 
 &bull; Ensure compliance with regulatory frameworks (SOC 2, ISO 27001, GDPR) within the cloud environment
 
 
 &bull; Conduct regular security assessments and drive vulnerability remediation efforts
 
 
 
 
 
 
 Reliability &amp; Performance
 
 
 
 &bull; Define and maintain SLIs, SLOs, and error budgets for cloud infrastructure services
 
 
 &bull; Lead incident response, root cause analysis, and blameless post-mortems
 
 
 &bull; Optimize cloud resource utilization and drive cost management through FinOps practices
 
 
 
 
 
 
 Collaboration &amp; Leadership
 
 
 
 &bull; Mentor junior and mid-level cloud engineers and promote a culture of learning
 
 
 &bull; Collaborate with product, data, and security teams to align cloud strategy with business goals
 
 
 &bull; Document architecture decisions, runbooks, and operational procedures
 
 
 
 
 
 
 Google Cloud Networking
 
 
 
 &bull; Design and manage Google Cloud VPC networks, subnets, firewall rules, and network policies
 
 
 &bull; Configure and optimize Cloud Load Balancing (HTTP(S), TCP/SSL, Internal) for high-availability workloads
 
 
 &bull; Implement Cloud CDN, Cloud DNS, and Traffic Director for global traffic management
 
 
 &bull; Set up and manage hybrid connectivity using Cloud Interconnect (Dedicated &amp; Partner) and Cloud VPN
 
 
 &bull; Deploy and configure Shared VPC and VPC Network Peering for multi-project architectures
 
 
 &bull; Apply network security controls including Cloud Armor (WAF/DDoS), VPC Service Controls, and Private Google Access
 
 
 &bull; Monitor and troubleshoot network performance using Network Intelligence Center, Connectivity Tests, and VPC Flow Logs
 
 
 &bull; Design private networking for GKE clusters using Alias IP ranges, Cloud NAT, and Private Service Connect
 
 
 
 
 
 
 Requirements :
 
 
 
 &bull; Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical field &mdash; or equivalent practical experience.
 
 
 &bull; 7+ years of experience in cloud engineering, with at least 5 years hands-on with GCP
 
 
 &bull; Deep expertise in GCP services: GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Functions, VPC, IAM
 
 
 &bull; Proficiency in Infrastructure as Code using Terraform
 
 
 &bull; Strong programming/scripting skills in Python, Go, or Bash
 
 
 &bull; Experience with Kubernetes and containerized workloads
 
 
 &bull; Hands-on experience with CI/CD tooling and GitOps workflows
 
 
 &bull; Solid understanding of networking concepts: DNS, VPNs, load balancing, CDN, TCP/IP
 
 
 &bull; Experience implementing security controls and compliance in cloud environments
 
 
 &bull; Google Cloud Professional certifications (Cloud Architect, DevOps Engineer, Security Engineer)
 
 
 &bull; Experience with multi-cloud or hybrid cloud architectures
 
 
 &bull; Familiarity with data engineering tools: Dataflow, Dataproc, BigQuery ML
 
 
 &bull; Experience with service mesh technologies (Istio, Anthos Service Mesh)
 
 
 &bull; Background in SRE principles and practices
 
 
 
 
 
 
 
 
 
 Required Specialized Certifications :
 
 
 
 Google Professional Cloud Architect
 
 
 Google Professional DevOps Engineer
 
 
 Google Professional Cloud Security Engineer
 
 
 Google Associate Cloud Engineer
 
</div>

Senior Cloud Engineer {GCP}

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

Saudi Aquaculture Systems Factory Company - SAQUA

<div>
 
 Role Description
 
 This is a full-time, on-site Software Engineer role based in Riyadh with Saudi Aquaculture Systems Factory Company - SAQUA. The Software Engineer will design, develop, and maintain software solutions that support aquaculture operations, internal platforms, and business processes. Daily responsibilities include implementing back-end features and APIs, writing clean and maintainable code, conducting code reviews, and resolving technical issues. The role involves collaborating closely with cross-functional teams to understand requirements, translating them into technical specifications, and integrating software with hardware or external systems when needed. The Software Engineer will also participate in testing, performance optimization, documentation, and continuous improvement of development practices.
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong foundation in Computer Science principles, including algorithms, data structures, and software design concepts.
 </li>
 <li>
 Proficiency in Software Development and Programming, with experience in at least one modern programming language (e.g., Java, C#, Python, or similar).
 </li>
 <li>
 Hands-on experience in Back-End Web Development, including building APIs, working with databases, and integrating with third-party services.
 </li>
 <li>
 Solid understanding and practical use of Object-Oriented Programming (OOP) in designing scalable and maintainable systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
 </li>
 <li>
 Familiarity with version control systems (e.g., Git) and collaborative development workflows.
 </li>
 <li>
 Experience with testing practices (unit, integration, and system testing) and debugging techniques.
 </li>
 <li>
 Ability to work on-site in Riyadh, collaborate with diverse teams, manage time effectively, and adapt to evolving project requirements.
 </li>
 <li>
 Experience with cloud platforms, containerization, or DevOps tools is an advantage.
 </li>
 <li>
 Domain interest or experience in industrial, manufacturing, or aquaculture-related systems is a plus.
 </li>
 </ul>
</div>

Software Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Role Summary</h2>
We are seeking an experienced Platform Engineer to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>
Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>
Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>
Implement GitOps practices for automated application deployment and infrastructure management.</li><li>
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>
Manage virtualization and cloud infrastructure environments.</li><li>
Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>
Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>
Implement platform security, governance, backup, and disaster recovery best practices.</li><li>
Create technical documentation, operational runbooks, and deployment standards.</li></ul><h2 class="jobSectionHeader">
Must-Have Skills</h2><ul><li>
Experience with GitLab OR Jenkins for CI/CD pipeline development and automation.</li><li>
Experience with Argo CD for GitOps-based application deployment.</li><li>
Experience with SonarQube for code quality and static code analysis.</li><li>
Experience with Renovate Bot or comparable dependency management and automation tools.</li><li>
Hands-on experience with Docker OR Docker Compose for containerization.</li><li>
Experience with Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run for container orchestration and cloud-native application deployment.</li><li>
Experience with Terraform OR Ansible for Infrastructure as Code (IaC) and configuration management.</li><li>
Experience with VMware vCenter OR OpenStack for virtualization and private cloud infrastructure.</li><li>
Strong knowledge of Linux system administration and shell scripting.</li><li>
Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><h2 class="jobSectionHeader">
Good to Have</h2><ul><li>
Experience with AWS OR Microsoft Azure OR Google Cloud Platform (GCP).</li><li>
Experience with Helm OR Kustomize.</li><li>
Knowledge of Prometheus OR Grafana OR ELK Stack for monitoring and observability.</li><li>
Experience with HashiCorp Vault or other secrets management solutions.</li><li>
Familiarity with Python OR Go for platform automation.</li><li>
Experience implementing DevSecOps practices.</li><li>
Knowledge of service mesh technologies such as Istio or Linkerd.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>
3&ndash;12+ years of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience designing and operating enterprise Kubernetes platforms.</li><li>
Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles.</li><li>
Experience delivering enterprise DevOps and platform modernization initiatives.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Excellent communication, documentation, and stakeholder management skills.</li><li>
Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul>
jh9EThp8S0</div>

Platform Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
The Senior Builder Experience
<ul><li>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</li><li>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</li><li>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</li><li>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</li></ul>What You'll Actually Be Building
<ul><li>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</li><li>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</li><li>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</li><li>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</li><li>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</li><li>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</li><li>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</li><li>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</li><li>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</li><li>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</li><li>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</li></ul>You're Our Senior Forward Deployed Engineer If&hellip;
<ul><li>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</li><li>You have a degree in Computer Science or a related field
</li><li>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</li><li>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</li><li>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</li><li>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</li><li>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</li><li>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</li><li>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</li><li>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</li><li>Ability to travel to customer sites as needed to ensure client success
</li><li>Business level proficiency in Arabic and English
</li><li>Computer Science (CS) degree or related.
</li></ul>Nice-to-Haves
<ul><li>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</li><li>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</li><li>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</li><li>Track record of influencing enterprise software product roadmaps through field engineering insight
</li><li>Open-source contributions, published technical writing, or conference presentations
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Forward Deployed Engineer, Arabic Speaking

Sulava MEA

<div>
 We are looking for a
 
 Deployment Engineer &amp; Architect
 
 to lead the design, development, and deployment of AI agent solutions using Microsoft Copilot, Copilot Studio, and Azure AI services for our Customers.
 
 
 This role is a combination of
 
 hands-on engineering and architecture leadership
 
 , focusing on building scalable, secure, and high-impact AI solutions. You will play a key role in our
 
 Agent Factory (FFL)
 
 model&mdash;delivering production-ready AI agents that transform business processes.
 
 
 
 
 What You Will Do
 
 
 
 
 <ul>
 <li>
 Design and implement end-to-end AI agent architectures across Microsoft 365 and Azure
 </li>
 <li>
 Build and deploy agents using Copilot Studio and integrate with enterprise systems
 </li>
 <li>
 Develop custom plugins, connectors, and workflows to extend agent capabilities
 </li>
 <li>
 Lead technical design for Agent Factory (FFL) delivery and scaling models
 </li>
 <li>
 Work with customer teams to translate business use cases into technical solutions
 </li>
 <li>
 Implement RAG pipelines, integrations, and data orchestration for agent intelligence
 </li>
 <li>
 Set up and optimize Azure AI environments, landing zones, and deployment pipelines
 </li>
 <li>
 Ensure security, governance, and compliance in all solutions
 </li>
 <li>
 Collaborate with AI Transformation Advisors to deliver end-to-end customer impact
 </li>
 <li>
 Support testing, optimization, and continuous improvement of agent solutions
 
 
 </li>
 </ul>
 
 
 What You Bring
 
 
 
 
 
 
 Core Engineering &amp; Architecture Skills
 
 
 
 
 <ul>
 <li>
 Strong software engineering background (e.g. .NET, Python, JavaScript/TypeScript)
 </li>
 <li>
 Experience designing scalable cloud-native architectures
 </li>
 <li>
 Ability to lead technical design and architecture decisions
 
 
 </li>
 </ul>
 
 
 AI &amp; Agent Development
 
 
 
 
 <ul>
 <li>
 Hands-on experience with Copilot Studio and agent development
 </li>
 <li>
 Experience building AI solutions using Azure AI / Azure AI Foundry
 </li>
 <li>
 Understanding of multi-agent patterns, orchestration, and automation
 </li>
 <li>
 Experience integrating APIs, data sources, and enterprise systems
 
 
 </li>
 </ul>
 👉 Agents operate across business processes and systems, combining orchestration, automation, and knowledge layers to deliver real value [
 
 
 
 
 Data &amp; Integration
 
 
 
 
 <ul>
 <li>
 Experience with RAG (Retrieval-Augmented Generation) architectures
 </li>
 <li>
 Knowledge of Azure AI Search, data pipelines, and indexing approaches
 </li>
 <li>
 Experience integrating with Microsoft Graph, SharePoint, and enterprise data sources
 
 
 </li>
 </ul>
 
 
 Security &amp; Governance
 
 
 
 
 <ul>
 <li>
 Understanding of enterprise security, identity (Entra ID), and data protection
 </li>
 <li>
 Experience implementing AI governance, compliance, and data security controls
 
 
 </li>
 </ul>
 👉 AI solutions are expected to include governance, identity, and security layers alongside agent orchestration and data acces
 
 
 
 
 What Makes You Successful
 
 
 
 
 <ul>
 <li>
 You can move from architecture to hands-on delivery seamlessly
 </li>
 <li>
 You build solutions that are production-ready, secure, and scalable
 </li>
 <li>
 You understand both technical design and real business impact
 </li>
 <li>
 You are comfortable working in fast-evolving AI environments
 </li>
 <li>
 You take ownership and drive technical outcomes end-to-end
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with Power Platform (Power Automate, Dataverse)
 </li>
 <li>
 Familiarity with Copilot extensibility and plugin models
 </li>
 <li>
 Experience with DevOps / CI-CD pipelines for AI solutions
 </li>
 <li>
 Knowledge of KSA regulatory and data residency requirements
 </li>
 <li>
 Arabic language skills
 </li>
 </ul>
</div>

Deployment Engineer & Architect

Wipro

<div>
 
 
 Role Summary
 
 
 
 Ensure high availability, performance, and reliability of production systems through automation, cloud operations, monitoring, and incident management.
 
 
 
 Key Responsibilities
 
 
 
 - Build and manage scalable AWS cloud infrastructure using Terraform / CloudFormation
 
 
 - Implement monitoring and observability using Prometheus, Grafana, Splunk, or Datadog
 
 
 - Handle incidents, RCA, on-call support, SLOs, SLIs, and error budgets
 
 
 - Automate operations to improve efficiency, reliability, and MTTR
 
 
 - Manage Kubernetes, Docker, CI/CD pipelines, runbooks, and ITIL processes
 
 
 
 Mandatory Skills
 
 
 
 - SRE / DevOps / Production Support with AWS cloud experience
 
 
 - Kubernetes, Docker, Linux, and networking fundamentals
 
 
 - Scripting using Python, Bash, or Go
 
 
 - Monitoring tools and incident / RCA management
 
 
 
 Preferred Skills
 
 
 
 - Terraform / CloudFormation, Jenkins / GitLab CI/CD, ServiceNow / ITSM
 
 
 - Cloud security tools and enterprise environment experience
 
 
 Experience
 
 
 5+ years in SRE / DevOps / Cloud / Production Support
 
</div>

Site Reliability Engineer (SRE)

Explore 137+ Senior devops engineer in Riyadh this July. Find roles across top companies and apply now to boost your career.