Lead Platform Engineer

Senior Platform Engineer

We're hiring a Senior Platform Engineer – ML Infrastructure in the AI/ML infrastructure and deep-tech industry.

We're seeking an experienced engineer to join our core infrastructure team. This role will be critical in designing and scaling the foundational systems that power AI products. If you're passionate about building robust, efficient, and innovative ML infrastructure, we'd love to hear from you.

What you'll do

• Design, build and operate scalable ML & data infrastructure across onprem and cloud (AWS/Azure/GCP).
• Standup and automate multinode Kubernetes + GPU clusters; keep them healthy and costefficient.
• Create goldenpath CI/CD & MLOps pipelines (Kubeflow/Flyte/Ray) for training, serving, RAG and agentic workflows.
• Partner with ML engineers to debug thorny CUDA/K8s issues before they hit prod.
• Champion IaC (Terraform/Pulumi) and configascode (Ansible) standards.
• Mentor developers on platform bestpractices and drive a platformfirst mindset.
  
  

What makes you a great fit

• 5+yrs DevOps/SRE/Platform engineering; 2+ with ML infra at scale.
• Deep handson with Docker, Kubernetes, Helm and kubenative tooling.
• Comfort with distributed GPU scheduling, CUDA drivers and networking.
• Strong Terraform/Pulumi, Ansible, Bash/Python skills.
• Experience operating data lakes, highavailability databases and object stores.
• Familiarity with ML orchestration (Kubeflow, Flyte, Prefect) and model registries.
• Working knowledge of RAG, LLM finetuning or agentic frameworks is a big plus.
  
  

Nice to have

• Experience with Ray, Spark, or Dask.
• Security & RBAC design chops.
• OSS contributions in the cloudnative / MLOps space.
  
  

Skills: Data,ML,Computing