Senior Engineer, ML Data Services

Job description

Job responsibilities

• Design and implement Restful APIs and microservices for data labeling and annotations
• Architect, build and maintain scalable data processing pipelines with cloud ETL technology to deliver datasets for Autonomy teams
• Take ownership of highly-available, critical backend services and APIs that store and expose terabytes of data
• Work closely with leadership and stakeholders to define objectives, align timelines, agree on key deliverables, and build the execution plan
• Design and develop monitoring and observability services for the MLOps data service pipelines
• Mentor and teach junior engineers in the team to develop good SDLC skills and better quality code with pairing sessions

Job requirements

• 5+ years of software development experience with Python preferred
• 5+ years of web backend development experience with REST APIs and microservices
• 3+ years of AWS cloud experience (e.g., DynamoDB, API Gateway, EKS, Lambda, OpenSearch, Redshift, S3 )
• 3+ years of data engineering experience with AWS Step Functions, Airflow or Prefect
• Strong written and oral communication skills
• Experience working in cross-functional development teams, including quarterly road map design
• Hands-on experience using modern AI coding tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate development, refactoring, and code review
• Ability to mentor junior engineers