Senior Software Engineer - Core AI

Job Description

Design and build scalable backend services and data pipelines that support the ML lifecycle within AWS SageMaker Unified Studio. Own the entire lifecycle of features and platform capabilities, collaborating closely with applied scientists and ML engineers.

Requirements: Candidates should have 4+ years of relevant software engineering experience with strong backend development skills in Python. Familiarity with AWS services and experience in building data pipelines or distributed systems are also required.

Key Skills: Python, Java, TypeScript, Go, Data Pipelines, Distributed Systems, AWS, SageMaker, DataZone, Lake Formation, ETL, Infrastructure-as-Code, SQL, NoSQL, Unit Testing, Code Reviews

Benefits: Health Insurance, Stock Options, 401k, Paid Time Off, Wellness Reimbursement, Experience Bonus