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 DevOps 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 GitOps, policy-as-code, and supply-chain security built in. DevSecOps and FinOps are core parts of the job here, not afterthoughts.
Key Responsibilities
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Design and maintain CI/CD pipelines with automated testing, security scanning, and progressive delivery.
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Author infrastructure as code with Terraform/OpenTofu using reusable modules and clean environment promotion.
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Build and operate Kubernetes platforms — Helm/Kustomize packaging, autoscaling, and ingress.
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Implement GitOps with Argo CD or Flux so the desired state of infrastructure and apps lives in Git.
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Stand up observability: metrics, logs, traces, dashboards, SLOs, and alerting.
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Embed DevSecOps: SAST/DAST/SCA scanning, secrets management, image hardening, and software supply-chain security.
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Build internal developer platforms and golden paths that enable self-service for product teams.
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Manage cloud infrastructure with cost awareness, automate operational tasks, and improve DORA metrics; participate in on-call and run blameless post-mortems.
Candidate Requirements
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Demonstrated experience delivering AI solutions in an enterprise or client-facing/consulting environment.
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Prior experience at management consulting firms and/or Big Tech is an advantage.
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Bachelor's or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
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3+ years in DevOps, SRE, platform, or infrastructure engineering.
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Strong Linux fundamentals and scripting in Bash and Python (Go a plus).
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Production experience with a major cloud (AWS, Azure, or GCP).
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Hands-on experience running Docker and Kubernetes in production.
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Proficiency with infrastructure as code (Terraform/OpenTofu) and a CI/CD system (GitHub Actions, GitLab CI, or Jenkins).
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Solid grasp of networking, DNS, TLS, load balancing, and security fundamentals.
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Experience with monitoring/observability tooling and incident management.
Nice To Have
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Operating ML/AI infrastructure (GPU clusters, model serving, MLOps/LLMOps pipelines).
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Multi-cloud or hybrid-cloud architecture and migrations.
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Chaos engineering and advanced reliability practices.
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eBPF-based tooling (Cilium, Pixie) and custom Kubernetes operators.
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Certifications such as CKA/CKAD, a cloud architect cert, or Terraform Associate.
Tools & Technologies You’ll Work With
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Scripting: Bash, Python, Go; YAML, HCL.
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CI/CD: GitHub Actions, GitLab CI, Jenkins, Azure DevOps.
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IaC & config: Terraform/OpenTofu, Pulumi, Ansible, Crossplane.
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Containers & GitOps: Docker, Kubernetes, Helm, Kustomize, Argo CD, Flux, Argo Rollouts.
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Observability: Prometheus, Grafana, OpenTelemetry, Loki, ELK/OpenSearch, Datadog.
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DevSecOps: Trivy, Snyk, SonarQube, Checkov, OPA/Kyverno; Sigstore, SLSA, SBOMs.
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Secrets & platform: HashiCorp Vault, External Secrets, OIDC workload identity; Backstage; AWS, Azure, GCP.