AWS-serverless specialist (bug fix, maintenance) - PT - NA/LATAM

About the Product

Coupon-stacking and deal-optimization platform. Backend scrapes retailer product/coupon data, matches items by UPC, and runs combinatorial optimization algorithms to surface the best coupon stacks for users. Fully serverless AWS architecture.

Responsibilities

• Maintain and extend Lambda-based API endpoints (Python)
• Debug and optimize SQS-based job processing (scrape jobs, UPC matching, simulation jobs) including DLQ triage
• Manage and troubleshoot ECS Fargate containerized workloads (scrapers, simulation runners)
• Work with AWS Cognito for auth/authorization (JWT, user groups, permissions)
• Build and improve deal-optimization algorithms (knapsack-style combinatorial logic)
• Light frontend work in JavaScript — the site is simple, no heavy framework expertise required
• Monitor system health via admin endpoints (queue metrics, ECS task status, config management)
• Fix bugs across the full stack and ship new features end-to-end

Required Skills

• Strong Python (Lambda/serverless experience required, not just scripting)
• AWS serverless stack: Lambda, API Gateway, SQS, ECS/Fargate, Cognito
• Comfortable debugging distributed/async systems (queues, DLQs, container tasks)
• JavaScript fundamentals
• Understanding of REST API design and JWT-based auth

Nice to Have

• Experience with combinatorial optimization / algorithm design (knapsack problems, constraint satisfaction)
• Web scraping infrastructure experience
• DynamoDB or similar NoSQL experience