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DevOps Engineer

Job in Abu Dhabi, UAE/Dubai
Listing for: Contango
Full Time, Contract position
Listed on 2026-06-29
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, Cybersecurity
Salary/Wage Range or Industry Benchmark: 120000 - 160000 AED Yearly AED 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: DevOps Engineer (6 months contract)

Contract duration: 6 months (with a potential extension)

Engagement Type: Full-time

Start date: July 2026

Location: Abu Dhabi (on-site)

Role Overview

We are seeking an experienced Dev Ops Engineer to make software delivery fast, repeatable, and safe. You’ll build and operate CI/CD pipelines, infrastructure-as-code, container platforms, and observability — cutting lead time and toil while improving reliability and security.

The discipline has shifted toward platform engineering: building internal developer platforms and golden paths so product teams can self-serve, with Git Ops, policy-as-code, and supply-chain security built in. Dev Sec Ops  and Fin Ops are core parts of the job here, not afterthoughts.

Key Responsibilities
  • Design and maintain CI/CD pipelines with automated testing, security scanning, and progressive delivery.
  • Author infrastructure as code with Terraform/Open Tofu using reusable modules and clean environment promotion.
  • Build and operate Kubernetes platforms — Helm/Kustomize packaging, autoscaling, and ingress.
  • Implement Git Ops with Argo CD or Flux so the desired state of infrastructure and apps lives in Git.
  • Stand up observability: metrics, logs, traces, dashboards, SLOs, and alerting.
  • Embed Dev Sec Ops : SAST/DAST/SCA scanning, secrets management, image hardening, and software supply-chain security.
  • Build internal developer platforms and golden paths that enable self-service for product teams.
  • Manage cloud infrastructure with cost awareness, automate operational tasks, improve DORA metrics; participate in on-call and run blameless post-mortems.
Candidate Requirements
  • Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
  • Prior experience at management consulting firms and/or Big Tech is an advantage.
  • Bachelor's or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
  • 3+ years in Dev Ops, SRE, platform, or infrastructure engineering.
  • Strong Linux fundamentals and scripting in Bash and Python (Go a plus).
  • Production experience with a major cloud (AWS, Azure, or GCP).
  • Hands-on experience running Docker and Kubernetes in production.
  • Proficiency with infrastructure as code (Terraform/Open Tofu) and a CI/CD system (Git Hub Actions, Git Lab CI, or Jenkins).
  • Solid grasp of networking, DNS, TLS, load balancing, and security fundamentals.
  • Experience with monitoring/observability tooling and incident management.
Nice to have
  • Operating ML/AI infrastructure (GPU clusters, model serving, MLOps/LLMOps pipelines).
  • Multi-cloud or hybrid-cloud architecture and migrations.
  • Chaos engineering and advanced reliability practices.
  • eBPF-based tooling (Cilium, Pixie) and custom Kubernetes operators.
  • Certifications such as CKA/CKAD, a cloud architect cert, or Terraform Associate.
Tools & Technologies You’ll Work With
  • Scripting:
    Bash, Python, Go; YAML, HCL.
  • CI/CD:
    Git Hub Actions, Git Lab CI, Jenkins, Azure Dev Ops.
  • IaC & config:
    Terraform/Open Tofu, Pulumi, Ansible, Crossplane.
  • Containers & Git Ops:
    Docker, Kubernetes, Helm, Kustomize, Argo CD, Flux, Argo Rollouts.
  • Observability:
    Prometheus, Grafana, Open Telemetry, Loki, ELK/Open Search, Datadog.
  • Dev Sec Ops :
    Trivy, Snyk, Sonar Qube, Checkov, OPA/Kyverno;
    Sigstore, SLSA, SBOMs.
  • Secrets & platform:
    Hashi Corp Vault, External Secrets, OIDC workload identity;
    Backstage; AWS, Azure, GCP.
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