DevOps Manager – Cloud, Platform & MLOps

About the role

We are looking for a hands‑on Manager DevOps to lead and strengthen our DevOps, Cloud, Platform Engineering and MLOps operations. The role ensures software, data, AI/ML and Generative AI workloads move reliably from development to secure, observable, production‑ready environments.

Key responsibilities

• Lead day‑to‑day DevOps, Cloud and Platform Engineering activities across development, staging and production.
• Design, implement and continuously improve CI/CD pipelines using GitLab CI/CD, Jenkins, GitHub Actions or Azure DevOps.
• Own container platforms (Docker, Kubernetes) – deployment, scaling, troubleshooting and resource management.
• Manage and optimise AWS infrastructure and, when required, Azure or GCP services.
• Establish Infrastructure‑as‑Code and configuration automation with Terraform, Ansible, CloudFormation or Helm.
• Build and maintain observability (CloudWatch, Prometheus, Grafana, ELK/OpenSearch) and drive incident response and post‑mortem processes.
• Apply DevSecOps practices – IAM, secrets management, vulnerability remediation and secure configuration.
• Support productionisation of AI/ML workloads, model‑serving, training jobs and MLOps pipelines (SageMaker, MLflow, Kubeflow, etc.).

Required profile

• Strong hands‑on experience in DevOps, Cloud Engineering, Platform Engineering or Site Reliability Engineering in production environments.
• Active AWS certifications required: AWS Certified CloudOps Engineer – Associate, AWS Certified DevOps Engineer – Professional and AWS Certified Security – Specialty.
• Proven experience operating AI/ML, Generative AI or GPU‑enabled workloads in production.

Required skills

• AWS services (EC2, VPC, IAM, S3, RDS, CloudWatch, ECR, ECS/EKS, Lambda, Route 53).
• Docker and Kubernetes (EKS, AKS, GKE or on‑prem).
• CI/CD tools (GitLab CI/CD, Jenkins, GitHub Actions, Azure DevOps).
• Infrastructure‑as‑Code (Terraform, Ansible, CloudFormation, Helm).
• Monitoring and logging (Prometheus, Grafana, ELK/OpenSearch, CloudWatch).
• Linux system administration, networking, TLS/SSL, VPN, firewalls.
• Scripting (Bash, Python, PowerShell).
• Databases and messaging (PostgreSQL, TimescaleDB, Redis, RabbitMQ, Celery).
• MLOps platforms (AWS SageMaker, MLflow, Kubeflow, Azure Machine Learning, Vertex AI).
• GPU workloads (NVIDIA Triton, vLLM) and GitOps tools (Argo CD, Flux, Tekton).