Eagerhead

Software Developer

Amazon • Fulltime

May 2024 - Present • 2 yrs 6 mos

Designed and operated distributed data and event-processing platforms using Java, Spring Boot, AWS Lambda, SQS, DynamoDB, and Step Functions, processing lifecycle events for 50M+ entities across 10+ international marketplaces. • Built and iterated on AI-powered and agentic workflow prototypes for internal business processes, integrating LLM-based reasoning with backend services and enterprise data to automate operational workflows and accelerate user-facing experiences. • Designed multi-step distributed workflows using AWS Step Functions with service orchestration, retries, failure recovery, and automated scheduling, enabling reliable processing across millions of executions. • Developed configurable rules and decision engines in Java/Spring Boot processing 100K+ evaluations daily at sub-200ms P99 latency, integrating business signals and compliance requirements into automated decision workflows. • Improved data quality and system reliability through automated backfill, validation, and data-correction pipelines, resolving reporting and operational discrepancies impacting 200K+ sellers. • Optimized batch and real-time processing through improved batching, retry strategies, and dead-letter queue handling; recovered 65M+ stuck records within 4 hours during a critical production incident. • Owned production telemetry, monitoring, diagnostics, and incident response using CloudWatch and Splunk; investigated P1/P2 failures and maintained <4 hour MTTR for critical production issues. • Delivered a new marketplace capability end-to-end 2 weeks ahead of schedule, partnering with product and engineering stakeholders across requirements, architecture, implementation, testing, deployment, and operations. • Drove engineering excellence through 190+ code reviews, authored 150+ reviews, and mentored 3 engineers; certified Amazon Bar Raiser and technical interviewer with 30+ interview loops.