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
- Design and maintain CI/CD pipelines with automated testing, security scanning, and progressive delivery.
- Author infrastructure as code with Terraform/OpenTofu using reusable modules and clean environment promotion.
- Build and operate Kubernetes platforms — Helm/Kustomize packaging, autoscaling, and ingress.
- Implement GitOps 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 DevSecOps: 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, and 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 DevOps, 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/OpenTofu) and a CI/CD system (GitHub Actions, GitLab 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: GitHub Actions, GitLab CI, Jenkins, Azure DevOps.
- IaC \& config: Terraform/OpenTofu, Pulumi, Ansible, Crossplane.
- Containers \& GitOps: Docker, Kubernetes, Helm, Kustomize, Argo CD, Flux, Argo Rollouts.
- Observability: Prometheus, Grafana, OpenTelemetry, Loki, ELK/OpenSearch, Datadog.
- DevSecOps: Trivy, Snyk, SonarQube, Checkov, OPA/Kyverno; Sigstore, SLSA, SBOMs.
- Secrets \& platform: HashiCorp Vault, External Secrets, OIDC workload identity; Backstage; AWS, Azure, GCP.