Devops Engineer

Location: Onsite Abu Dhabi, UAE
Employment Type: Full-Time
Department: Engineering

Dev Ops Engineer

Location: Onsite Abu Dhabi, UAE
Employment Type: Full-Time
Department: Engineering

CNTXT is building AI-powered products that redefine how people interact with technology. We bring together world-class engineers, product thinkers, and designers to build intelligent, scalable, and reliable platforms that power next-generation digital experiences.

We're looking for exceptional builders who thrive in fast-paced environments, take ownership, and enjoy solving complex infrastructure and automation challenges.

We're looking for a highly skilled Dev Ops Engineer to design, build, and maintain the cloud infrastructure, deployment pipelines, and operational tooling that powers our products.

You'll work closely with software engineers, AI/ML teams, security, and product teams to ensure our platforms are scalable, secure, highly available, and fully automated. You'll play a key role in improving developer productivity, accelerating releases, and maintaining world-class reliability across our environments.

This role is ideal for someone who enjoys automation, infrastructure as code, cloud-native technologies, and building reliable systems at scale.

• Design, build, and manage highly available cloud infrastructure.

• Architect scalable environments across development, staging, and production.

• Manage networking, storage, compute resources, and cloud security.

• Optimize cloud performance, scalability, and operational costs.

• Build and maintain robust CI/CD pipelines for automated testing, deployment, and release management.

• Automate infrastructure provisioning using Infrastructure as Code (IaC).

• Improve deployment reliability through automated rollback, validation, and release strategies.

• Continuously improve developer workflows and deployment speed.

• Maintain high availability and system reliability across all production environments.

• Implement monitoring, alerting, logging, and observability solutions.

• Troubleshoot production incidents and perform root cause analysis.

• Participate in incident response and postmortem reviews.

• Implement Dev Sec Ops  best practices throughout the software development lifecycle.

• Manage secrets, identity, access control, and infrastructure security.

• Ensure infrastructure follows industry security standards and best practices.

• Conduct vulnerability remediation and infrastructure hardening.

• Build and manage containerized applications using Docker.

• Deploy, manage, and scale Kubernetes clusters.

• Optimize workloads for performance, resilience, and cost efficiency.

• Manage ingress, service mesh, storage, and cluster operations.

• Partner with Engineering, AI/ML, Product, and Security teams.

• Support developers with infrastructure, deployments, and operational tooling.

• Document infrastructure architecture and operational processes.

• Drive continuous improvements across platform engineering and operations.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.

• 4+ years of Dev Ops, Platform Engineering, or Site Reliability Engineering experience.

• Strong experience with public cloud platforms such as AWS
  , Google Cloud Platform (GCP), or Microsoft Azure
  .

• Hands-on experience building and maintaining CI/CD pipelines.

• Strong experience with Infrastructure as Code using Terraform
  , Cloud Formation, or similar tools.

• Experience with Kubernetes in production environments.

• Strong understanding of Linux system administration and networking fundamentals.

• Experience implementing monitoring, logging, and observability platforms.

• Knowledge of cloud security, IAM, networking, and infrastructure best practices.

• Strong scripting skills using Python, Bash, or similar languages.

• Excellent troubleshooting and problem-solving skills.

• Experience working within Agile engineering teams.

• Experience supporting AI/ML infrastructure and GPU workloads.

• Experience with MLOps platforms and model deployment pipelines.

• Knowledge of Git Ops workflows using ArgoCD or Flux.

• Experience with service mesh technologies such as Istio or Linkerd.

• Familiarity with serverless architectures.

• Experience with multi-cloud or hybrid cloud environments.

• Understanding of distributed systems and microservices architecture.

• Cloud certifications (AWS, Azure, or GCP) are a plus.

• AWS, Google Cloud Platform (GCP), or Microsoft Azure

• Kubernetes

• Docker

• Terraform

• Git Hub Actions, Git Lab CI, Jenkins, or Azure Dev Ops

• Linux

• Python, Bash, or Go

• Helm

• Prometheus & Grafana

• ELK Stack, Open Search, or Loki

• ArgoCD or Flux

• Git

• NGINX, Traefik, or HAProxy

• Build and operate infrastructure powering cutting-edge AI products.

• Work with a world-class, globally distributed engineering team.

• Own critical platform infrastructure with significant autonomy and impact.

• Solve complex…