Senior DevOps Engineer - Multi-Cloud Voice AI Infrastructure

About the role

Hamsa builds AI models for Arabic dialects, powering speech-to-text, text-to-speech, translation and spoken language understanding behind voice and phone agents used by enterprises across MENA. It is hiring a Senior DevOps Engineer to own how its platform is built, deployed, secured and operated across AWS and Google Cloud. This is the most senior infrastructure voice on the team, setting standards and making architectural decisions.

Key responsibilities

• Own the multi-cloud architecture across AWS (EKS, VPC, IAM, CloudWatch, GuardDuty) and Google Cloud (GKE, Cloud Run, Vertex AI, Artifact Registry, GPU compute)
• Design and maintain the Terraform codebase so every environment, including client-dedicated ones, is reproducible and reviewable
• Run production Kubernetes: clusters, upgrades, node pools, autoscaling for spiky voice traffic, network policies, RBAC and tenant isolation
• Build and operate the serving infrastructure for STT and TTS models, including GPU node management, autoscaling and cost control
• Support the real-time voice stack: media servers, SIP and VoIP integrations and the network path for call quality
• Design CI/CD and GitOps workflows with quality gates, canary and blue/green rollouts and fast rollback
• Own observability (metrics, logs, traces, alerting) including call-quality and latency signals, and lead incident response and post-mortems
• Package and support private cloud and on-premise deployments for enterprise and government clients, including security documentation
• Drive cloud cost discipline and implement security controls (IAM, network segmentation, secrets management, audit logging)
• Mentor mid-level engineers, review infrastructure changes and document what is built

Required profile

• 5+ years in DevOps, Cloud, Platform or Site Reliability Engineering, with at least 3 years on production systems you were responsible for
• 3+ years operating Kubernetes in production
• 3+ years with Terraform, including module design and state management
• Strong Linux administration, networking (VPC, DNS, TLS, load balancing) and production troubleshooting under pressure
• Comfortable working in Arabic and English

Required skills

• Deep hands-on experience with AWS or Google Cloud, working competence in the other
• Proficiency in Python or Go, plus solid shell scripting
• CI/CD pipelines for containerised microservices; observability tools such as Prometheus, Grafana or equivalents
• Nice to have: GPU workloads or ML model serving (Vertex AI, SageMaker, Triton, vLLM), real-time systems (WebRTC, LiveKit, SIP), on-premise deployments, ISO 27001/SOC 2 exposure, and certifications such as AWS Solutions Architect, Google Professional Cloud DevOps Engineer, CKA or Terraform Associate