Senior SRE - Kubernetes

About the role

We are looking for a Senior Site Reliability Engineer specializing in Kubernetes to support the deployment and operation of Generative AI applications. You will work closely with MLOps Engineers and Full‑Stack Developers to build reliable, scalable pipelines that move AI models from development to production.

Key responsibilities

• Design, implement and maintain CI/CD pipelines for application and AI model deployments.
• Automate testing, integration and delivery processes across cloud and on‑prem environments.
• Collaborate with MLOps teams to deploy, version, monitor and update AI models.
• Build and manage infrastructure as code using Terraform, CloudFormation or Ansible.
• Operate and optimise cloud platforms (AWS, Azure, GCP) and on‑prem OpenShift clusters.
• Implement monitoring and observability solutions to ensure performance and reliability.
• Continuously improve scalability, cost‑efficiency and fault tolerance of the platform.

Required profile

• Strong background in site reliability engineering or DevOps with a focus on Kubernetes.
• Proven experience building and managing CI/CD pipelines for complex applications.
• Hands‑on experience with cloud providers (AWS, Azure, GCP) and on‑prem container platforms.
• Familiarity with MLOps concepts and AI model lifecycle management.

Required skills

• Docker
• Kubernetes
• Jenkins, GitLab CI, CircleCI
• Terraform, CloudFormation, Ansible
• AWS, Azure, GCP
• OpenShift
• Kubeflow, MLflow, Apache Airflow