Summary
✨ AI‑Generated
Join an infrastructure team as a Mid-Level DevOps Engineer and own production services end to end. You will build CI/CD pipelines, manage cloud infrastructure across multiple providers, and work with Kubernetes, Terraform, and GitOps. The environment offers challenging exposure to GPU-based workloads and real-time systems, with strong technical mentorship and increasing ownership.
Highlights
Hands-on production ownership with mentorship from a senior engineer, exposure to multi-cloud infrastructure, Kubernetes, infrastructure as code, GitOps, GPU inference, and real-time workloads.
Description
About Hamsa
Hamsa builds AI models that master Arabic dialects — speech-to-text, text-to-speech, translation, and voice agents that hold real conversations.
Our technology is deployed by enterprises across MENA in banking, telecom, government services, call centres and hospitality, handling live customer calls in dialects that generic AI models get wrong.
About the role
We're growing our infrastructure team and looking for a DevOps Engineer who's past the fundamentals and ready to own real pieces of a production platform.
You'll work alongside our Senior DevOps Engineer, who will review your work and back your growth — but you'll own your services end to end, not just tickets.
Our stack runs across AWS and Google Cloud, on Kubernetes, with Terraform and GitOps throughout, and includes GPU inference and real-time voice workloads that will teach you things a standard web stack won't.
What you'll do
Build and maintain CI/CD pipelines across our services and environmentsWrite and maintain Terraform to provision infrastructure on AWS and Google CloudDeploy, monitor and troubleshoot containerised applications on Kubernetes (EKS and GKE)Build dashboards and alerts, then investigate what they tell youAutomate repetitive operational work in Python or Bash rather than doing it twiceKeep staging and production consistent, and support release daysHelp prepare and maintain client-specific deployment environmentsJoin the on-call rotation with proper support and clear runbooks behind youWrite documentation and runbooks for what you build
What we're looking for
2–4 years of hands-on DevOps, cloud or infrastructure engineering experienceReal experience with AWS or Google Cloud — you've deployed and debugged production workloads, not only completed a courseWorking knowledge of Docker and Kubernetes fundamentals: deployments, services, ingress, config maps, secrets, resource limitsExperience with Terraform or another infrastructure-as-code toolSolid Linux command line and troubleshooting skillsScripting in Python or BashComfortable with Git-based workflows and at least one CI/CD platformGood English; Arabic is a plus
Nice to have
Exposure to both AWS and Google CloudHelm, ArgoCD or FluxPrometheus and GrafanaBasic cloud security: IAM policies, least privilege, secrets managementAny relevant certification — AWS SAA, Google Associate Cloud Engineer, CKA, Terraform AssociateCuriosity about AI infrastructure, GPU workloads, or real-time audio
