Senior DevOps Engineer – AI4ALL

About the role

We are looking for a Senior DevOps Engineer to design, build and operate secure, highly‑available cloud infrastructure for AI‑driven applications. You will work closely with data scientists and engineering teams to ensure seamless deployment pipelines and robust monitoring.

Key responsibilities

• Deploy and maintain cloud environments on Google Cloud Platform (GCP) and AWS, focusing on GKE clusters.
• Implement Infrastructure‑as‑Code using Terraform for reproducible environments.
• Design advanced CI/CD workflows with GitHub Actions, including testing, linting, security scanning and one‑click releases.
• Manage database deployment, backup and scaling for PostgreSQL and ClickHouse.
• Set up monitoring and logging (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) and define alerting strategies.
• Apply security best practices (IAM, VPC, encryption) to protect AI data and IP.
• Collaborate with data scientists to integrate AI/ML lifecycle tools such as Kubeflow, MLflow or Vertex AI.

Required profile

• B.Sc. or M.Sc. in Computer Science, Engineering or related field.
• 5+ years of experience in DevOps, Cloud Engineering or SRE.
• Proven senior or lead experience influencing architecture decisions.
• Fluent English communication skills.

Required skills

• GCP (GKE, VPC, IAM) and AWS fundamentals.
• Docker and Kubernetes administration.
• Terraform.
• GitHub Actions CI/CD pipelines.
• PostgreSQL and ClickHouse.
• Linux system administration.
• Python and Bash scripting.
• Prometheus, Grafana, Cloud Ops, Cloud Monitoring.
• DevSecOps tools and practices.
• AI/ML lifecycle tools (Kubeflow, MLflow, Vertex AI) – optional.
• JavaScript/Node.js – optional.