Found Description
Job Responsibilities
- Own and evolve ~20 Lambda-based microservices (Python 3.14, AWS CDK, aws-lambda-powertools)
- Design domain event patterns across services using EventBridge, SQS, and SNS
- Own services end-to-end: ensuring correct schema design - maintaining self-service deployment - alerting - on-call
- Build AI/ML integrations using Google Generative AI, semantic search, and recipe understanding pipelines
- Keep AWS spend honest: right-size memory/timeout configs, eliminate wasteful invocation patterns
- Grow the team's skills through mentoring, knowledge-sharing sessions, and other technical initiatives
Requirements
- 5+ years building production AWS Lambda systems at scale
- Fluent in Python with strict typing (pyrefly, Pydantic v2)
- Comfortable across DynamoDB, Valkey (Redis), PostgreSQL (SQLModel/Alembic), and Elasticsearch
- Strong AI engineering practice
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