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cloud engineer

Supertech Group

<div><p>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p><p>
If yes, then this is the job you are looking for , <b>webook.com</b> is Saudi&rsquo;s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. <b>webook.com</b> is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.</p><p></p><p><b>
Job Description:</b></p><p>
We are seeking a skilled <b>Elastic Cloud Engineer</b> to join our growing team. The ideal candidate will have extensive hands-on experience with Elastic Cloud, Elasticsearch, Kibana, and data pipelines. In addition, expertise in working with <b>BigQuery</b>, <b>MongoDB</b>, and <b>SQL queries</b> is highly desirable. Experience with <b>GoLang</b> development is a plus, providing further enhancement to our data and reporting capabilities. You will be responsible for managing Elasticsearch clusters, designing dashboards, building reports, and integrating data from multiple sources.</p><p><b>
Key Responsibilities:</b></p><ul>
<li><b>Elastic Cloud Administration:</b></li>
<li><ul><li>Deploy, configure, and manage Elastic Cloud infrastructure.</li>
<li>Monitor, troubleshoot, and optimize Elasticsearch clusters for performance, security, and scalability.</li>
<li>Manage index lifecycle, configure efficient indexing strategies, and ensure high data availability.</li>
</ul></li><li><b>Kibana Dashboards &amp; Reporting:</b></li>
<li><ul><li>Design and maintain <b>Kibana dashboards</b> for real-time data visualization and insights.</li>
<li>Develop complex queries and visualizations using <b>Elasticsearch</b> and <b>Kibana</b>.</li>
<li>Automate and generate reports based on Elasticsearch data, ensuring they align with business requirements.</li>
</ul></li><li><b>Data Pipeline Management:</b></li>
<li><ul><li>Design, build, and manage scalable <b>data pipelines</b> for ingesting, processing, and transforming data from various sources into <b>Elasticsearch</b>.</li>
<li>Integrate data from sources such as <b>BigQuery</b>, <b>MongoDB</b>, and <b>SQL-based</b> databases into Elasticsearch for real-time analysis.</li>
<li>Ensure the smooth flow of data across systems and maintain data consistency and quality.</li>
</ul></li><li><b>BigQuery, MongoDB, and SQL Integration:</b></li>
<li><ul><li>Extract, transform, and load data from <b>BigQuery</b>, <b>MongoDB</b>, and relational databases (using <b>SQL queries</b>).</li>
<li>Write and optimize <b>SQL queries</b> for integrating structured data from relational databases into Elasticsearch.</li>
<li>Work with unstructured and semi-structured data stored in <b>MongoDB</b>, ensuring efficient queries and transformations.</li>
</ul></li><li><b>GoLang Development (Plus):</b></li>
<li><ul><li>Assist in developing backend applications using <b>GoLang</b> to improve data manipulation, real-time analytics, and report generation.</li>
<li>Build and integrate services that interface with Elasticsearch, BigQuery, and other data platforms.</li>
</ul></li><li><b>Data Security &amp; Compliance:</b></li>
<li><ul><li>Implement security best practices for Elasticsearch, including access control, encryption, and authentication (X-Pack, TLS).</li>
<li>Ensure compliance with industry regulations for data privacy and implement effective backup/recovery solutions.</li>
</ul></li><li><b>Collaboration &amp; Documentation:</b></li>
<li><ul><li>Collaborate with <b>data engineering</b>, <b>BI</b>, and <b>DevOps</b> teams to ensure smooth integration of Elasticsearch with other data platforms.</li>
<li>Document processes, configurations, and operational guidelines for managing the Elastic Cloud infrastructure and associated data pipelines.</li>
</ul></li></ul><p></p><p><b>Requirements</b></p><p></p><ul>
<li><b>3+ years of hands-on experience</b> with <b>Elastic Cloud</b>, Elasticsearch administration, and Kibana.</li>
<li>Strong expertise in building <b>Kibana dashboards</b>, visualizations, and generating reports.</li>
<li>Experience with <b>Elasticsearch indexing</b>, cluster management, and performance optimization.</li>
<li>Proficiency in building and managing <b>data pipelines</b>, particularly with <b>BigQuery</b>, <b>MongoDB</b>, and <b>SQL databases</b>.</li>
<li>Strong <b>SQL query writing</b> skills and experience working with relational databases.</li>
<li>Hands-on experience with <b>GoLang</b> development (a plus).</li>
<li>Familiarity with <b>DevOps practices</b>, CI/CD pipelines, and cloud infrastructure for Elastic Cloud.</li>
<li>Knowledge of <b>security features</b> for Elasticsearch (TLS, X-Pack) and data protection best practices.</li>
<li>Excellent problem-solving and analytical skills with a focus on performance tuning and optimization.</li>
<li>Strong communication skills and ability to work in a collaborative, fast-paced environment.</li>
</ul><p><b>Preferred Qualifications:</b></p><ul>
<li>Experience with <b>data pipeline tools</b> such as <b>Logstash</b>, <b>Beats</b>, or similar.</li>
<li>Experience with <b>cloud platforms</b> (AWS, GCP, or Azure) for hosting and scaling Elasticsearch clusters.</li>
<li>Familiarity with <b>ETL processes</b> and working with large datasets in <b>BigQuery</b> and <b>MongoDB</b>.</li>
<li>Experience with <b>API development</b> and integrations using GoLang or similar technologies.</li></ul></div>

Elastic Cloud Engineer

Mozn

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.
 <br/>
 <br/>
 We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are seeking a Senior Cloud Platforms Engineer to join our Cloud Engineering team and lead the design, development, and operation of our internal platform services. You will play a pivotal role in shaping a highly reliable, scalable, and developer-friendly infrastructure to support our growing portfolio of microservices and cloud-native applications.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Platform Engineering &amp; Infrastructure
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Design, build, and maintain internal cloud platform capabilities on GCP and/or OCI, with Kubernetes (GKE/OKE) at its core.
  </li>
  <li>
   Operate scalable, resilient, and observable infrastructure systems, including CI/CD pipelines and service mesh components.
  </li>
  <li>
   Build and maintain infrastructure as code (IaC) using Terraform, Helm, or similar tools.
  </li>
  <li>
   Design, build, and maintain self-service secure backing services such as MySQL, Postgres, ClickHouse, RabbitMQ, and Kafka.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Kubernetes &amp; Microservices Enablement
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Manage Kubernetes cluster lifecycle: upgrades, patching, and tuning.
  </li>
  <li>
   Create reusable templates, GitOps workflows, and automation for microservice deployment.
  </li>
  <li>
   Implement observability tools (Prometheus, Grafana, Loki) to monitor system health.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Developer Experience &amp; Self-Service
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop self-service tools, APIs, and CLIs to streamline provisioning, secrets, and deployment workflows.
  </li>
  <li>
   Collaborate with engineering teams to reduce friction and improve deployment speed and quality.
  </li>
  <li>
   Promote platform adoption through documentation, training, and enablement.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Networking, Security &amp; Compliance
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Expert networking
  </li>
  <li>
   Ensure secure-by-default practices across the platform (network policies, IAM, pod security).
  </li>
  <li>
   Align infrastructure practices with internal and external compliance requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in cloud platform or infrastructure engineering.
  </li>
  <li>
   Expertise in Kubernetes and containerised microservices architecture.
  </li>
  <li>
   Strong expertise in backing services such as MySQL, Postgres, Kafka, and RabbitMQ
  </li>
  <li>
   Proficient with Terraform, Helm, GitOps tools (ArgoCD, Flux).
  </li>
  <li>
   Strong understanding of cloud networking, Linux, and service discovery.
  </li>
  <li>
   Experience with observability tooling (Datadog, Prometheus, Fluent Bit).
  </li>
  <li>
   Scripting in Go, Python, or Bash.
  </li>
  <li>
   Background in developer platform enablement and internal tooling is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 <ul>
  <li>
   Experience with multi-cloud environments (GCP, OCI, AWS).
  </li>
  <li>
   Knowledge of AI agents and GenAI in streamlining platform engineering
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
  </li>
  <li>
   You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
  </li>
  <li>
   The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
  </li>
  <li>
   You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
  </li>
  <li>
   We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
  </li>
 </ul>
</div>


Senior Cloud Platforms Engineer

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

DevOps Engineer

MASTER-WORKS

<div><p>Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI &amp; Analytics CoE. In this role, you will build secure, scalable API services to integrate large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agentic AI capabilities into enterprise systems. You will play a key role in delivering the AI Core platform as a unified, intelligent, and production-ready foundation for enterprise AI applications.</p><p></p><p><b>
Key Responsibilities</b></p><ul>
<li><b>API Development &amp; Integration</b></li>
<li><ul><li>Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses.</li>
<li>Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions.</li>
<li>Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD).</li>
</ul></li><li><b>Backend Architecture &amp; Performance</b></li>
<li><ul><li>Implement scalable database solutions to store user queries, responses, and analytics.</li>
<li>Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness.</li>
<li>Develop robust logging and monitoring solutions for API performance and troubleshooting.</li>
</ul></li><li><b>AI &amp; LLMOps Support</b></li>
<li><ul><li>Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints.</li>
<li>Enable agentic AI capabilities by integrating APIs with automation tools and external services.</li>
<li>Support evaluation pipelines to measure AI performance, accuracy, and relevance.</li>
</ul></li><li><b>Security &amp; Compliance</b></li>
<li><ul><li>Implement strong access controls, data encryption, and enterprise security policies.</li>
<li>Ensure compliance with internal governance, audit requirements, and data privacy standards.</li>
</ul></li><li><b>DevOps &amp; Continuous Improvement</b></li>
<li><ul><li>Participate in CI/CD workflows for API deployment and updates.</li>
<li>Debug backend/API issues, authentication errors, and AI response failures.</li>
<li>Incorporate user feedback to improve API usability and reliability.</li>
</ul></li></ul><p></p><p><b>Requirements</b></p><p><b>
Qualifications</b></p><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or related field.</li>
<li>Proven experience in <b>API development (REST/GraphQL)</b> using Python, Go, or Node.js.</li>
<li>Strong knowledge of <b>cloud platforms (AWS, Azure, GCP)</b> and infrastructure-as-code (IaC).</li>
<li>Familiarity with <b>containerization (Docker, Kubernetes)</b> and CI/CD pipelines.</li>
<li>Experience integrating <b>AI/ML models or LLMs</b> into production environments is a plus.</li>
<li>Understanding of <b>authentication protocols (OAuth2, SAML, SSO)</b> and enterprise security.</li>
<li>Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog).</li>
</ul><p><b>Preferred Skills</b></p><ul>
<li>Knowledge of <b>Retrieval-Augmented Generation (RAG)</b> pipelines and vector databases.</li>
<li>Experience with <b>agentic AI systems</b> and tool integrations.</li>
<li>Familiarity with <b>multi-cloud environments</b> and migration strategies.</li>
<li>Exposure to <b>enterprise-scale API governance</b> and documentation standards.</li></ul></div>

AI API Developer

Mind Stream

<p>We&rsquo;re Hiring! | SAP Infrastructure &amp; Deployment Specialist<br/>Location: Qatar<br/>Experience: 6&ndash;8 years (preferred)<br/>Key Responsibilities<br/>Design SAP system architecture in public/private cloud environments (e.g., AWS, Microsoft Azure, Google Cloud Platform, SAP RISE).<br/>Define infrastructure requirements including sizing, storage, networking, backup, and disaster recovery for SAP systems (S/4HANA, BW/4HANA, BTP).<br/>Collaborate with enterprise architects to align cloud infrastructure with IT policies and strategies.<br/>Automate infrastructure provisioning using modern automation tools.<br/>Configure and manage SAP systems using SAP Landscape Management (LaMa), SAP Cloud Appliance Library, or native cloud tools.<br/>Preferred Certifications:<br/>SAP Certified Technology Associate &ndash; SAP S/4HANA / SAP HANA / SAP BTP<br/>Cloud Certifications &ndash; e.g., Azure Certified Solutions Architect</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How many years do you have experience designing SAP system architecture in public or private cloud environments (AWS, Azure, GCP, SAP RISE)?</li><li>Do you have experience defining infrastructure requirements including sizing, storage, networking, backup, and disaster recovery for SAP systems (S/4HANA, BW/4HANA, BTP)?</li><li>Have you collaborated with enterprise architects to align SAP cloud infrastructure with IT policies and strategies?</li><li>Do you have experience automating SAP infrastructure provisioning using modern automation tools?</li><li>Have you configured or managed SAP systems using SAP Landscape Management (LaMa), SAP Cloud Appliance Library, or native cloud tools?</li><li>Do you hold SAP certifications (e.g., SAP S/4HANA, SAP HANA, SAP BTP)?</li><li>Do you hold any cloud certifications (e.g., Azure Certified Solutions Architect)?</li><li>what is current and expected salary? Notice period?</li></ul>

SAP Infrastructure & Deployment Specialist

<div><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people&rsquo;s lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p><p></p><p>
If yes, then this is the job you&rsquo;re looking for. <b>UXBERT Labs</b> is one of the best digital and user experience design agencies in the GCC working with the biggest regional and international brands such as STC, Amazon, Gucci and more. UXBERT Labs is part of the Supertech Group also consisting of Hala Yalla, Saudi&rsquo;s #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><ul>
<li>Design, develop, and deploy full-stack applications that integrate AI models, with a focus on LLMs for tasks such as natural language processing, generation, and automation.</li>
<li>Collaborate with cross-functional teams to rapidly prototype and iterate on ideas, ensuring quick turnaround from concept to production-ready solutions.</li>
<li>Utilize LangChain and LangGraph to build efficient, stateful AI agents and multi-step workflows that apply existing models to solve real-world problems.</li>
<li>Implement cloud-based infrastructure (e.g., AWS, Azure, GCP) for hosting, scaling, and managing AI applications, including data pipelines, APIs, and deployment pipelines.</li>
<li>Participate in live coding sessions and rapid development sprints to demonstrate and refine solutions in real-time.</li>
<li>Optimize applications for performance, security, and reliability, ensuring seamless integration of AI components into user-facing systems.</li>
<li>Troubleshoot and debug complex issues across the stack, from frontend interfaces to backend AI logic and cloud deployments.</li>
<li>Stay updated on emerging AI tools and best practices to continuously improve development processes and application efficiency.</li>
</ul></li></ul><p><b>Requirements</b></p><ul><li><ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field (or equivalent experience).</li>
<li>Minimum 10+ years of experience in full-stack development, with proficiency in frontend (e.g., React, Vue, Angular) and backend (e.g., Node.js, Python, Django, Flask, FAST API) technologies.</li>
<li>Working knowledge of leading AI coding platforms and tools, including Claude, OpenAI Cursor, and similar frameworks for building and integrating AI-driven applications</li>
<li>Strong expertise in working with Large Language Models (LLMs) such as GPT, BERT, or similar, including fine-tuning, prompting, and integration into applications.</li>
<li>Hands-on experience with LangChain for chaining LLM calls and LangGraph for building graph-based AI applications.</li>
<li>Proven ability in cloud platforms (e.g., AWS, Azure, GCP), including services for compute, storage, databases, and AI/ML (e.g., SageMaker, Vertex AI).</li>
<li>Demonstrated skills in live coding and rapid prototyping to quickly validate and implement ideas.</li>
<li>Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile methodologies.</li>
<li>Excellent problem-solving skills and the ability to work independently or in a team to deliver high-quality results under tight deadlines.</li>
<li><ul><li>Experience with additional AI frameworks like Hugging Face Transformers, TensorFlow, or PyTorch.</li>
<li>Knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying AI applications at scale.</li>
<li>Familiarity with data engineering tools (e.g., Apache Airflow, Spark) for handling AI data pipelines.</li>
<li>Background in DevOps practices to automate infrastructure and deployment processes.</li>
<li>Strong communication skills to explain technical concepts to non-technical stakeholders.</li></ul></li></ul></li></ul></div>

Senior AI Engineer

Giza Systems EG

<div><h4 class="jobSectionHeader"><b>Job Description</b></h4><br>
<p></p><div><ul><li><p>Lead DevOps practices jointly with the team.</p>
</li>
<li><p>Installation, configuration, testing, deployment, monitoring, and maintenance of DevOps tools (Source Code Management like Git, Azure, SVN).</p>
</li>
<li><p>Drive Continuous Integration (CI) and Continuous Deployment (CD) improvements.</p>
</li>
<li><p>Improve automated monitoring and alerting systems for SLIs and SLOs.</p>
</li>
<li><p>Automate responses for recurring problems.</p>
</li>
<li><p>Build frameworks for software and application deployment.</p>
</li>
<li><p>Build platform environments to support auto-scaling for the business.</p>
</li>
<li><p>Organize, scale, and maintain application and deployment configuration templates.</p></li></ul><br>
<p>
</p></div><p></p><h4 class="jobSectionHeader"><b>Personal Skills</b></h4><br>
<p></p><div><ul><li>Excellent communication and interpersonal skills.</li>
<li>Excellent communication and interpersonal skills.</li>
<li>Excellent technical report skills.</li>
<li>Very Good command of English</li>
<li>Excellent Leadership skills.</li>
<li>Encouraging collaboration and teamwork.</li></ul></div><br>
<p></p>
<h4 class="jobSectionHeader"><b>Technical Skills</b></h4>
<p></p><div><ul><li>Bachelor&rsquo;s degree in computer science, Information Technology, or related field.
</li><li>3+ years of experience in DevOps, Site Reliability Engineering, or related roles.
</li><li>Proficient in scripting languages such as Bash, Python, or PowerShell.
</li><li>Hands-on experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or Azure DevOps.
</li><li>Strong experience with containerization (Docker) and orchestration (Kubernetes, ECS, EKS, AKS).
</li><li>Expertise in cloud platforms (AWS, Azure, or GCP).
</li><li>Solid understanding of networking, security, and system administration.
</li><li>Experience with monitoring and logging tools such as Prometheus, Grafana, ELK, or Datadog.
</li><li>Familiar with Agile, Scrum, or DevOps culture and best practices.</li></ul></div></div><p></p>
<br><div><h4 class="jobSectionHeader"><b>Job Details</b></h4>
<div><div>Job Location</div>
<div>Riyadh, Saudi Arabia</div>
</div><div><div>Company Industry</div>
<div>IT Services</div>
</div><div><div>Company Type</div>
<div>Employer (Private Sector)</div>
</div><div><div>Job Role</div>
<div>Information Technology</div>
</div><div><div>Employment Type</div>
<div>Employee</div>
</div><div><div>Job Division</div>
<div>Managed Services</div></div></div>
<br><div><h4 class="jobSectionHeader"><b>Preferred Candidate</b></h4>
<div><div>Career Level</div>
<div>Mid Career</div>
</div><div><div>Residence Location</div>
<div>Saudi Arabia</div>
</div><div><div>Nationality</div>
<div>Saudi Arabia</div></div></div>

Senior DevOps Engineer

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