site reliability engineer

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Site Reliability Engineer
 
 to support the reliability engineering program across multiple data centers in our fleet. Reporting to the Reliability Manager, you will be responsible for monitoring system performance, driving preventative and predictive maintenance initiatives, leading root cause analysis efforts, and collaborating with cross-functional teams to minimize downtime and enhance infrastructure resilience.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 Monitor real-time and historical performance metrics for critical power, cooling, and IT systems.
 </li>
 <li>
 Analyse system data to identify trends, failure modes, and reliability risks.
 </li>
 <li>
 Execute Root Cause Analyses (RCA) and Failure Mode &amp; Effects Analyses (FMEA), then drive corrective and preventive actions.
 </li>
 <li>
 Develop and maintain condition-based and predictive maintenance routines, leveraging IoT, data analytics, and machine learning tools.
 </li>
 <li>
 Support preventive maintenance programs: schedule, document, and validate maintenance activities.
 </li>
 <li>
 Assist in asset lifecycle planning, including upgrades, decommissioning, and end-of-life strategies.
 </li>
 <li>
 Contribute to capacity runway assessments to forecast infrastructure needs.
 </li>
 <li>
 Implement and enforce availability management plans, risk assessments, and mitigation strategies.
 </li>
 <li>
 Ensure data collection and reporting processes for reliability KPIs (e.g., MTBF, MTTR, availability) are standardized and accurate.
 </li>
 <li>
 Prepare reliability reports and dashboards; present findings and recommendations to site leadership.
 </li>
 <li>
 Respond to and lead failure-response efforts during site incidents, ensuring rapid recovery and root-cause follow-through.
 </li>
 <li>
 Maintain compliance with industry standards and regulations (Uptime Institute, ISO, ASHRAE).
 </li>
 <li>
 Collaborate with Operations, Engineering, Facilities, and Vendors to integrate reliability best practices into day-to-day workflows.
 </li>
 <li>
 Propose continuous-improvement initiatives and pilot emerging reliability technologies.
 </li>
 <li>
 The job holder may be required to undertake additional duties, which may be reasonably expected and forms part of the function of the job.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in mechanical, Electrical, Reliability, or related Engineering discipline.
 </li>
 </ul>
 
 
 
 
 
 Minimum Experience:
 
 
 
 
 
 <ul>
 <li>
 3+ years of experience in reliability engineering, maintenance engineering, or a data center operations environment.
 </li>
 <li>
 Hands-on experience with RCA, FMEA, and predictive maintenance methodologies.
 </li>
 <li>
 Proficiency with monitoring platforms, data-analytics tools, and scripting (e.g., Python, R).
 </li>
 <li>
 Familiarity with IoT sensors, machine-learning frameworks, and condition-based monitoring systems.
 </li>
 <li>
 Knowledge of industry reliability standards and regulations (ISO, ASHRAE, Uptime Institute).
 </li>
 </ul>
 
 
 
 
 
 Job-Specific Skills (Generic / Technical):
 
 
 
 
 
 <ul>
 <li>
 Strong analytical and problem-solving skills, with acute attention to detail.
 </li>
 <li>
 Effective communicator, able to present technical findings to diverse audiences.
 </li>
 <li>
 Project coordination skills and the ability to manage multiple reliability initiatives.
 </li>
 <li>
 Collaborative mindset, comfortable working in cross-functional teams.
 </li>
 <li>
 Self-starter with a continuous-improvement attitude and commitment to resilience.
 </li>
 </ul>
 
 
</div>

Site Reliability Engineer

Trivto

<div>
 
 DevOps Engineer
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Hiring Process
 
 : AI Interview -&gt; Home Assignment -&gt; Technical Interview -&gt; COO Interview
 
 
 
 Reports to:
 
 VP R&amp;D
 
 
 
 Department:
 
 Development
 
 
 About the Role
 
 
 We seek an experienced Senior DevOps Engineer to join our team and lead our infrastructure automation efforts. The ideal candidate will bridge the gap between development and operations, implementing robust CI/CD pipelines and maintaining our cloud-native microservices architecture.
 
 
 Responsibilities
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, implement, and maintain CI/CD pipelines to enable frequent and reliable software releases
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage containerized applications using Docker and orchestrate them with Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect and maintain cloud infrastructure on AWS following best practices and security standards
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement GitOps principles using Argo CD for Kubernetes deployments
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish monitoring, alerting, and logging solutions to ensure system reliability
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and optimize our microservices architecture, ensuring scalability and resilience
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with development teams to improve deployment workflows and application performance
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement infrastructure as code practices using tools like Terraform
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct security assessments and implement security best practices across the infrastructure
 
 
 Required Skills &amp; Qualifications
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6-7+ years of experience in DevOps, SRE, or similar roles
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with container technologies, specifically Docker and Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In-depth knowledge of AWS services and architecture patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience implementing and managing Argo CD for GitOps workflows
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of security best practices for cloud infrastructure
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, implementing, and maintaining microservices architectures
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of service discovery, API gateways, and inter-service communication patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent scripting skills (Python, Bash, etc.)
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with infrastructure as code tools ( Terraform )
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to troubleshoot complex systems
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication skills, proactive,&nbsp;team player
 
 
 &nbsp;
 
</div>

DevOps Engineer

Involved Solutions

<div>
 
 We have partnered with a fast-growing ecommerce business in Dubai to hire a DevOps Engineer. This is a business where platform performance is not a nice to have, it is everything. Uptime, deployment speed and infrastructure reliability directly affect revenue, and the engineering team knows it. You will be joining at a point where the platform is scaling fast and the decisions you make will have a real and visible impact on how the business operates.
 
 
 
 
 This role suits an engineer who takes pride in building infrastructure that holds up under pressure and a deployment pipeline that lets the rest of the engineering team move fast with confidence.
 
 
 
 
 About the role:
 
 <ul>
 <li>
 Own and evolve the cloud infrastructure, ensuring environments are scalable, resilient and optimised for a high-traffic ecommerce platform
 </li>
 <li>
 Build and maintain CI/CD pipelines that enable fast, reliable and repeatable software delivery across multiple teams
 </li>
 <li>
 Lead containerisation and orchestration across development, staging and production environments using Kubernetes and Docker
 </li>
 <li>
 Implement and maintain infrastructure-as-code using tools such as Terraform or Ansible, reducing manual processes and increasing consistency
 </li>
 <li>
 Define and own observability standards including logging, monitoring, alerting and incident response
 </li>
 <li>
 Work closely with software engineering teams to embed DevOps culture and shared ownership across the delivery lifecycle
 </li>
 <li>
 Contribute to platform architecture decisions with a focus on reliability, cost efficiency and scale
 </li>
 </ul>
 
 
 
 About you:
 
 <ul>
 <li>
 3 to 5 years of experience in DevOps, platform or infrastructure engineering roles
 </li>
 <li>
 Hands-on experience with at least one major cloud provider, AWS, GCP or Azure, with a solid understanding of cloud-native services
 </li>
 <li>
 Production-level experience with Kubernetes and container orchestration
 </li>
 <li>
 Proven track record building and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI or Jenkins
 </li>
 <li>
 Proficiency with infrastructure-as-code tooling, particularly Terraform
 </li>
 <li>
 Solid understanding of networking, security fundamentals and cloud cost management
 </li>
 <li>
 Ecommerce or high-traffic consumer platform experience is a strong advantage
 </li>
 </ul>
</div>

Senior DevOps Engineer

TALENTMATE

<div>
 
 Job Description
 
 
 
 
 Role
 
 : DevOps Engineer
 
 
 
 Location:
 
 Remote
 
 
 
 Job Type
 
 : Contract
 
 
 
 Payout:
 
 $30 - $130/hour
 
 
 
 Role Overview
 
 
 
 We are hiring for one of our clients, seeking a Senior DevOps Engineer to work on a contract basis. The role involves designing, implementing, and maintaining scalable infrastructure solutions to support high-traffic applications. Candidates will collaborate with cross-functional teams to optimize deployment pipelines and ensure system reliability.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions.
 </li>
 <li>
 Manage and optimize cloud infrastructure on AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
 </li>
 <li>
 Monitor system performance, troubleshoot issues, and implement incident response procedures.
 </li>
 <li>
 Collaborate with development teams to ensure scalable, secure, and efficient deployment processes.
 </li>
 <li>
 Implement and maintain security best practices, including IAM policies and encryption standards.
 </li>
 <li>
 Optimize containerized environments using Docker, Kubernetes, or serverless architectures.
 </li>
 <li>
 Document infrastructure configurations, deployment processes, and operational procedures.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 5+ years of experience in DevOps practices and tooling.
 </li>
 <li>
 Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Hands-on experience with CI/CD pipelines and automation tools like Jenkins or GitLab CI.
 </li>
 <li>
 Strong scripting skills in Python, Bash, or PowerShell.
 </li>
 <li>
 Experience with containerization and orchestration using Docker and Kubernetes.
 </li>
 <li>
 Knowledge of infrastructure as code tools such as Terraform or CloudFormation.
 </li>
 <li>
 Understanding of networking, security, and compliance requirements.
 </li>
 <li>
 Experience with monitoring and logging tools like Prometheus, Grafana, or ELK Stack.
 
 
 </li>
 </ul>
 
 More About The Opportunity
 
 
 
 This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of scalable cloud-based solutions. The contract includes competitive hourly compensation and flexibility to work on cutting-edge infrastructure projects.
 
 
 
 Equal Opportunity Employer
 
 
 
 We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
 
 
 
 Apply Now!
 
 
 
 Job Details
 
 
 Role Level: Associate Work Type: Contract Country: United Arab Emirates City: Dubai Company Website: www.hirefeed.co.in Job Function: DevOps &amp; QA Company Industry/
 
 
 Sector: Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Platform Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; 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&rsquo;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&trade; 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&rsquo;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:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 AI Platform Operations
 
 
 
 Provide day-to-day monitoring and operational support of Gernas, its dependent AI applications, deployed AI agents, agent runtime environments, AI gateways, and supporting Azure and AWS cloud services. Ensure continuous availability and consistent service performance across production environments, proactively identifying degradation signals before they become user-visible incidents. Maintain operational dashboards covering platform health, agent execution, LLM consumption, gateway throughput, and integration endpoints, and ensure that ownership of every production component is unambiguous and documented.
 
 
 
 Incident and Problem Management
 
 
 
 Lead L2 and L3 incident response across the Gernas platform and its surrounding AI products. Conduct structured root-cause analysis, drive service restoration within agreed P1&ndash;P4 service-level commitments, and coordinate major incidents involving multiple engineering, cloud, security, and vendor stakeholders. Maintain problem records for recurring or systemic issues, ensure that post-incident reviews are completed with clear corrective and preventive actions, and own the closure of those actions through to engineering remediation. Act as the bridge between the L1 AI Operations Centre and L3 engineering teams during complex incidents.
 
 
 
 AI Agent and Workflow Support
 
 
 
 Troubleshoot the behaviour of single-agent and multi-agent workflows, including agent orchestration, tool invocation, skill execution, prompt construction, memory and context handling, planning loops, and inter-agent coordination. Diagnose failures across Microsoft Agent Framework and LangGraph execution, including state-graph traversal, conditional routing, tool-call mismatches, retries, and human-in-the-loop checkpoints. Investigate integrations with enterprise systems, MCP-exposed tools, and downstream APIs, and work with engineering teams to harden agent designs where production data reveals weaknesses.
 
 
 
 LLM and Model Service Support
 
 
 
 Support the operational stability of the model-serving layer across Azure OpenAI PTU deployments, AWS Bedrock, and Core42 Compass. Monitor and troubleshoot PTU capacity utilisation, token consumption patterns, quota and throttling behaviour, latency profiles, content filtering outcomes, and model endpoint availability. Coordinate with the AI Hub team on routing decisions between frontier and in-region models, assess cost and capacity headroom, and manage capacity escalations and vendor tickets where service degradation originates upstream.
 
 
 
 AKS and Runtime Support
 
 
 
 Provide hands-on operational support of the Azure Kubernetes Service estate hosting Gernas agent runtimes and supporting services. Troubleshoot pod, deployment, service, ingress, namespace, secret, and configuration issues; investigate autoscaling behaviour and resource utilisation anomalies; and analyse container logs, network connectivity, and runtime failures. Work closely with the Cloud Platform team on cluster-level concerns, image security, node health, and platform upgrades, ensuring AKS-hosted workloads remain stable through patching and lifecycle events.
 
 
 
 API, AI Gateway and MCP Support
 
 
 
 Operate and troubleshoot the Azure API Management layer that serves as both the enterprise API gateway and the MCP Gateway for Gernas. Diagnose issues with API policies, authentication, authorisation, routing, rate limiting, quotas, caching, and backend connectivity. Provide deep support for MCP servers, MCP tools, and the MCP Gateway pattern &mdash; including tool discovery, schema validation, protocol-level failures, and the coordination between MCP clients hosted in agents and the underlying tool endpoints. Ensure that the gateway remains a secure, observable, and policy-compliant control plane for all AI traffic.
 
 
 
 Observability and Performance Management
 
 
 
 Use Comet Opik as the primary observability surface for agent and LLM execution, working with traces, prompts, agent execution paths, latency breakdowns, token usage, errors, and model quality indicators. Build and maintain operational dashboards, alert rules, and correlation views that combine Opik telemetry with Azure Monitor, Application Insights, Log Analytics, and CloudWatch data. Lead performance optimisation initiatives where trace evidence shows hotspots in prompts, tools, retrieval steps, or model selection, and ensure that observability coverage keeps pace with platform evolution.
 
 
 
 Voice AI Support
 
 
 
 Support the production operation of ElevenLabs-based voice AI capabilities, including speech generation, voice-agent connectivity, real-time audio session handling, and API consumption patterns. Investigate latency, audio quality, dropped sessions, and integration failures across the voice channel and its dependent platforms, and coordinate with ElevenLabs and integration partners on upstream issues.
 
 
 
 Release and Change Management
 
 
 
 Validate releases prior to and immediately following deployment, exercising production verification scripts, smoke tests, and rollback procedures. Maintain release readiness through clear configuration management, environment parity checks, and pre-deployment risk reviews. Operate within FAB's change-management framework, ensuring that all production changes including patches, upgrades, configuration adjustments, and model or prompt rotations pass through the appropriate change controls and post-implementation review.
 
 
 
 Security, Risk and Compliance
 
 
 
 Uphold the security and compliance posture of Gernas and dependent AI products. Manage identity and access controls, secrets, certificates, and managed identities across the platform; coordinate vulnerability remediation and patching cycles; and maintain audit evidence for internal audit, supervisory reviews, and external assurance. Operate responsible-AI controls including content filtering, PII and PCI detection, data egress controls, and model-access governance and ensure that secure integration patterns are followed across every API, MCP tool, and external dependency.
 
 
 
 Service Improvement and Automation
 
 
 
 Drive continuous reduction of manual support effort through automation of routine operational tasks, self-healing patterns, monitoring enhancements, and proactive remediation. Maintain a current and high-quality library of support playbooks, runbooks, knowledge articles, and standard operating procedures. Identify and lead service-improvement initiatives that lift platform reliability metrics, reduce incident volume, and shorten mean time to resolution.
 
 
 
 Stakeholder and Vendor Coordination
 
 
 
 Operate as a credible technical counterpart to business units, engineering teams, the Cloud Platform team, Cybersecurity, Architecture, AI Governance, and Service Management. Lead vendor engagement with Microsoft, AWS, Core42, ElevenLabs, and other technology partners on incidents, capacity reviews, roadmap items, and product issues, ensuring that vendor accountability is exercised and that escalations are progressed effectively.
 
 
 
 On-Call and Operational Readiness
 
 
 
 Participate in a 24&times;7 support model, including a structured on-call rotation, major incident leadership, disaster-recovery exercises, business-continuity testing, and production-readiness assessments for new agents, models, and integrations entering the platform. Treat operational readiness as a release gate rather than an afterthought, and ensure that nothing reaches production without explicit operational sign-off.
 
 
 
 
 
 
 TECHNICAL SKILLS: minimum 5-7 yrs of working experience mandatory
 
 
 
 
 Cloud AI Services
 
 
 
 
 
 
 
 Agentic AI Frameworks
 
 
 
 
 LLM Operations
 
 
 
 
 Kubernetes and Containers
 
 
 
 
 API and MCP Gateway
 
 
 
 
 Observability
 
 
 
 
 DevOps and Automation
 
 
 
 
 Voice AI
 
 
 
 
 Security and Governance
 
 
 
 
 Service Management
 
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 Education
 
 
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a closely related discipline. A relevant master's degree in AI, Machine Learning, or Cloud Computing will be considered an advantage.
 
 
 
 Professional Experience
 
 
 
 Approximately 5&ndash;7 years of overall IT experience, with significant time spent in cloud application support, platform engineering, DevOps, Site Reliability Engineering, production operations, or senior technical support roles. Of this, a minimum of 2&ndash;3 years of relevant experience supporting AI, machine learning, Generative AI, conversational AI, cloud-native platforms, or other data-intensive enterprise systems is required.
 
 
 
 Banking and Regulated Environment
 
 
 
 
 
 
 
 Technical Troubleshooting
 
 
 
 
 
 
 
 Operational Skills
 
 
 
 
 
 
 
 Communication and Leadership
 
 
 
 
 
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Platform Engineer

Global Software Solutions Group

<div>
 We are looking for an experienced Senior DevOps Engineer with strong expertise in OpenShift Platform Administration, Kubernetes, and CI/CD engineering to support large-scale Business Platforms &amp; Payments initiatives.
 
 
 The ideal candidate should have hands-on experience managing enterprise container platforms, building and maintaining CI/CD pipelines, automating deployment processes, and supporting mission-critical payment applications. The role requires working in a fast-paced environment where frequent releases and high-velocity payment changes are delivered while ensuring platform stability, security, and high availability.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain enterprise CI/CD pipelines for mission-critical applications
 </li>
 <li>
 Administer and manage OpenShift container platform environments
 </li>
 <li>
 Deploy, configure, and manage Kubernetes clusters and containerized workloads
 </li>
 <li>
 Develop, maintain, and optimize Jenkins pipelines using Groovy scripting and Shared Libraries
 </li>
 <li>
 Implement GitOps deployment strategies using Argo CD
 </li>
 <li>
 Create, maintain, and manage Helm Charts for Kubernetes application deployments
 </li>
 <li>
 Manage source code repositories and branching strategies using Git
 </li>
 <li>
 Support application deployment, release management, and environment provisioning
 </li>
 <li>
 Monitor platform health, troubleshoot deployment issues, and optimize application performance
 </li>
 <li>
 Work closely with Development, QA, Infrastructure, Security, and Operations teams to streamline software delivery
 </li>
 <li>
 Support high-frequency production releases and mission-critical payment platform deployments
 </li>
 <li>
 Ensure platform security, scalability, availability, and compliance with enterprise standards
 </li>
 <li>
 Participate in release planning, production support, incident management, and root cause analysis
 </li>
 <li>
 Automate operational tasks and continuously improve DevOps processes and engineering practices
 </li>
 <li>
 Document deployment procedures, platform architecture, and operational standards
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Kubernetes administration
 </li>
 <li>
 Strong experience administering Red Hat OpenShift Platform (OpenShift Container Platform)
 </li>
 <li>
 Expertise in Jenkins CI/CD pipeline development and administration
 </li>
 <li>
 Strong hands-on experience writing Groovy-based Jenkins Pipelines
 </li>
 <li>
 Experience developing and maintaining Jenkins Shared Libraries
 </li>
 <li>
 Strong experience with Argo CD (GitOps deployment)
 </li>
 <li>
 Hands-on experience creating and managing Helm Charts
 </li>
 <li>
 Strong proficiency with Git version control, branching strategies, and repository management
 </li>
 <li>
 Experience deploying and managing containerized applications in enterprise Kubernetes environments
 </li>
 <li>
 Strong understanding of CI/CD best practices and DevOps automation
 </li>
 <li>
 Experience troubleshooting deployment failures, pipeline issues, and platform incidents
 </li>
 <li>
 Strong Linux administration knowledge
 </li>
 <li>
 Experience working with REST APIs and deployment automation
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with Istio Service Mesh
 </li>
 <li>
 Experience with 3scale API Management
 </li>
 <li>
 Exposure to payment platforms or financial services environments
 </li>
 <li>
 Experience supporting high-volume transaction systems
 </li>
 <li>
 Knowledge of enterprise monitoring and logging tools
 </li>
 <li>
 Experience with Infrastructure as Code (Terraform, Ansible, or similar)
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, or GCP)
 
 
 </li>
 </ul>
 
 Required Competencies
 
 
 
 <ul>
 <li>
 Strong analytical and troubleshooting skills
 </li>
 <li>
 Excellent communication and stakeholder management
 </li>
 <li>
 Ability to work in fast-paced, high-pressure production environments
 </li>
 <li>
 Strong ownership mindset with excellent attention to detail
 </li>
 <li>
 Ability to manage multiple priorities and critical production releases
 </li>
 <li>
 Collaborative team player with strong problem-solving capability
 </li>
 <li>
 Ability to work independently while supporting cross-functional engineering teams
 
 
 </li>
 </ul>
 
 Preferred Domain Experience
 
 
 
 <ul>
 <li>
 Banking
 </li>
 <li>
 Payments
 </li>
 <li>
 Financial Services
 </li>
 <li>
 Enterprise Digital Platforms
 </li>
 <li>
 Mission-Critical Production Systems
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline (or equivalent industry experience).
</div>

Senior DevOps Engineer (OpenShift)

Oivan Group Oy

<div><div>Dubai, UAE</div><div>
Full-time</div><div>
Temporary</div></div>
 <div><div><h2 class="jobSectionHeader">What We Need
</h2><div>At Oivan, we are looking for a highly skilled Rancher Expert to lead the design, deployment, and management of enterprise-grade Kubernetes platforms. In this role, you will be the go-to authority for container orchestration using SUSE Rancher, driving standardization across multi-cluster environments spanning on- premise, hybrid, and multi-cloud infrastructure. 
 
You will collaborate with DevOps, development, and security teams to build resilient, scalable, and automated platforms that power critical workloads. Your expertise will shape our infrastructure strategy, establish best practices, and mentor junior engineers on the team. 
 
This position is a full-time role based in Dubai, UAE working at the clients' premises for a one-year contract (extendable). 
 
For this role, we need a fluent Arabic speaker =&gt; if you're not one then please apply to our other role. 
</div></div><div><h2 class="jobSectionHeader">
What You'll Do</h2><div>
Your responsibilities will be the following: 
 
Rancher &amp; Kubernetes Platform<ul><li>
Deploy, configure, and manage SUSE Rancher (RKE1 / RKE2 / K3s) clusters at enterprise scale</li><li>
Design multi-cluster architectures with high availability, fault tolerance, and disaster recovery</li><li>
Manage cluster lifecycle: upgrades, node scaling, certificate rotation, and etcd backups</li><li>
Enforce RBAC, network policies, and Pod Security Standards across all clusters</li><li>
Integrate Rancher with identity providers (LDAP, Active Directory, OIDC) for centralized auth</li></ul>
Helm &amp; Application Delivery<ul><li>
Develop, maintain, and version-control Helm charts for internal and third- party applications</li><li>
Implement GitOps workflows using Flux CD or Argo CD for declarative application delivery</li><li>
Manage Helm repositories, chart dependencies, and release strategies(canary, blue/green)</li><li>
Define Helmfile configurations for multi-environment deployments DevOps &amp; CI/CD</li></ul> 

DevOps &amp; CI/CD<ul><li>
Architect and maintain CI/CD pipelines using Jenkins, GitLab CI, GitHub Actions, or Tekton</li><li>
Integrate pipelines with container registries (Harbor, ECR, GCR) and image scanning tools</li><li>
Automate infrastructure provisioning and configuration management with Ansible and Terraform</li><li>
Drive shift-left security practices including SAST, container image scanning,and policy-as-code</li></ul> 

Infrastructure &amp; Cloud<ul><li>
Design and maintain IaC (Infrastructure as Code) using Terraform and Pulumi</li><li>
Manage cloud environments on AWS, GCP, or Azure &mdash; including networking, IAM, and cost optimization</li><li>
Oversee on-premise and hybrid infrastructure integrated with cloud platforms</li><li>
Implement service mesh solutions (Istio / Linkerd) for advanced traffic management and observability</li><li>
Configure storage backends: Longhorn, Ceph, NFS, and cloud-native persistent volumes</li></ul> 

Hypervisor &amp; Virtualization<ul><li>
Strong knowledge in VMware vSphere / ESXi, Proxmox, or Harvester HCI for on-premise workloads</li><li>
Deploy and manage Harvester (SUSE HCI) as the hypervisor layer beneath Rancher clusters</li><li>
Integrate bare-metal and VM-based nodes into Rancher-managed Kubernetes clusters</li><li>
Optimize VM resource allocation, networking (NSX-T / OVN), and storage for</li><li>
Kubernetes Workloads</li></ul> 

Monitoring, Logging &amp; Security<ul><li>
Deploy and maintain observability stacks: Prometheus, Grafana, Alertmanager, Thanos</li><li>
Experience with SUSE NeuVector; Implement centralized logging with Elasticsearch / OpenSearch, Fluentd /Fluent Bit, and Kibana</li><li>
Conduct vulnerability assessments, CIS benchmark hardening, and Kubernetes security audits</li><li>
Manage secrets using HashiCorp Vault, Sealed Secrets, or External Secrets Operator</li></ul></div></div><div><h2 class="jobSectionHeader">
What You Have</h2><div>
Our ideal team member will have the folllowing qualifications: 
<ul><li>
Bachelor's degree in Computer Science, Information Technology, or relatedfield</li><li>
5+ years of hands-on Kubernetes experience in production environments</li><li>
Proven track record managing large-scale, multi-cluster Rancher environments</li><li>
7+ years of total experience in DevOps, infrastructure, or platform engineering</li><li>
Good communication skills including fluent English and Arabic.</li></ul> 

Preferred certifications 
o Certified Kubernetes Administrator (CKA) &mdash; strongly preferred 
o Certified Kubernetes Security Specialist (CKS) 
o SUSE Certified Rancher Expert 
o HashiCorp Terraform Associate or Professional 
o AWS Solutions Architect / GCP Professional Cloud Architect / Azure 
Solutions Architect</div></div><div><h2 class="jobSectionHeader">
What We Offer
</h2><div><ul><li>An international workforce to learn from and grow with - we have a diverse, multicultural workforce with Nordic values</li><li>
 A fair compensation package and a considerable annual leave of 25 days per annum. We support our staff to be with family at the most important time. Partners with a newborn baby can have additional holidays.</li><li>
Opportunities for growth and enrichment through Grow with Oivan, our internal learning and development departments</li><li>
Line devices Mac or PC within a fixed company budget</li><li>
Team building activities, movie nights, events</li></ul></div></div><div><h2 class="jobSectionHeader">
Privacy Notice</h2><div>
At Oivan, we appreciate different lifestyles and cultural backgrounds. We welcome diversity as a strength. We consider all applications equally regardless of race, color, ancestry, religion, national origin, age, citizenship, marital status, disability, orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. 
 
Oivan company culture is reflective of our core values. The decisions we make today influence our tomorrow. We are sincere in our responsibility towards our employees, customers and the environment. Fellowship unites us as an international community of thinkers and doers. Throughout our hiring process, you&rsquo;ll have access to a broad representation of the Oivan team to get to know us as we learn about you.</div></div></div>

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