Senior AI/Data Science Platform Engineer

Job summary

The Senior Platform Engineer role focuses on designing, building, and maintaining cloud and on-prem infrastructure for Software Engineers, Machine Learning Engineers, and Data Scientists. Key responsibilities include developing AWS infrastructure, supporting MLOps platform reliability, and utilizing technologies such as Kubernetes, Terraform, and Docker to enhance operational efficiency.

Qualifications

• Strong practical Kubernetes experience.
• GitOps-oriented mindset with experience in declarative, version-controlled delivery.
• Cloud infrastructure experience, with AWS strongly preferred.
• Strong understanding of cloud primitives including IAM, networking, compute, storage, and observability.
• Practical Terraform and/or OpenTofu experience.
• Hands-on Docker experience.
• Experience operating production systems.
• Ability to assess complex platform needs and define practical solutions.
• Proven ability to improve developer experience and operational efficiency.
• Collaborative team player who communicates openly.

Responsibilities

• Contribute to the design, development and maintenance of cloud (AWS) and on-prem infrastructure.
• Support ML engineers by responding to platform service requests and troubleshooting issues.
• Build productive working relationships across engineering teams.
• Explain technical ideas, risks, and trade-offs clearly.

Skills

Relocation