Open to opportunities

Awoke Worket

@awokeworket

Message

I’m a Senior Software Engineer specializing in scalable serverless and full‑stack systems.

United States

Message

What I'm looking for

I’m seeking a Senior engineering role building scalable serverless and full‑stack systems where I can drive product impact, improve reliability, and mentor engineers at a data-driven company.

I am a Senior Software Engineer with deep experience building scalable, user-focused systems using React, TypeScript, Node.js, and AWS. I design and implement full‑stack features that measurably increase engagement and satisfaction.

At my current role I built a two‑way messaging platform that boosted user engagement by 40% and led a migration from a monolith to serverless microservices that cut infrastructure costs by 35%.

I develop resilient microservices and observability practices—achieving 99.99% uptime, reducing latency by 30%, and implementing testing frameworks that drove 90% coverage and far fewer production bugs.

Previously at Amazon I worked on Prime Video backend systems, improved playback quality with an adaptive bitrate algorithm, built a recommendation engine that increased engagement, and scaled data pipelines to process millions of records per day.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

IDEXX

Aug 2020 - Present (5 years)

Designed and implemented a two-way messaging platform using React, TypeScript and AWS, increasing user engagement by 40% and expanding channels via Twilio and FCM. Led migration from a monolith to serverless microservices (API Gateway, Step Functions, DynamoDB), reducing infrastructure costs by 35% and improving uptime.

React TypeScript AWS Lambda DynamoDB API Gateway Jest Datadog Redux

Software Development Engineer

Amazon

Dec 2013 - Jul 2020 (6 years 7 months)

Developed and maintained core backend services for Amazon Prime Video using Java and AWS, delivering 99.99% uptime and improving low-bandwidth playback quality by 20% via an adaptive bitrate algorithm. Built a recommendation engine that increased personalized watchlist engagement by 25% and redesigned ingestion pipelines to cut processing lag to under 10 minutes.