Senior Platform Engineer

As a Senior Platform Engineer, you will design, build, and operate a production-grade AI/ML platform built on Kubernetes. You’ll enable ML and data science teams to deploy and run models with robust tooling and guardrails at scale. You’ll contribute to architecture decisions while staying hands-on, delivering reliable platform services and workflows. You work closely with data scientists and MLOps engineers to ensure the platform is usable and fit for purpose. This role offers impact by shaping the platform that underpins AI/ML delivery and production-ready workloads.

• Design, build, and operate a Kubernetes-based platform supporting multiple ML and engineering teams
• Extend Kubernetes with MLOps-specific capabilities
• Provide platform-level support for model development, packaging, deployment, and scalable inference
• Build shared platform services for repeatable model deployment
• Collaborate with data scientists and MLOps engineers to ensure usability and fit-for-purpose
• Own platform operability, reliability, security, and lifecycle management
• Troubleshoot cross-layer issues across infrastructure, Kubernetes, and MLOps
• Contribute to architectural decisions while remaining hands-on

• Senior Platform Engineer or Senior DevOps Engineer with strong background
• Hands-on experience building and operating Kubernetes-based platforms
• Practical experience with Helm and Infrastructure as Code (Terraform)
• Experience building internal platforms for engineers
• Strong grasp of monitoring, logging, reliability, incidents, and maintainability
• Collaborating with MLOps engineers and data scientists
• ML platform & MLOps knowledge
• Understanding of ML/AI workloads in production and related tooling (e.g., Kubeflow, KServe, vLLM, JupyterHub)
• Awareness of Responsible/Trustworthy AI tooling

• collaboration with cross-functional teams
• problem-solving and troubleshooting
• clear communication
• Kubernetes
• Helm
• Terraform