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Brandon Molyneaux

@brandonmolyneaux

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Senior software engineer delivering scalable, real-time data systems for meteorological data procesing softawre.

United States

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What I'm looking for

I seek roles building scalable, real-time data platforms in cloud-first teams where I can lead architecture, mentor engineers, and deliver mission-critical systems with strong operational excellence.

I am a senior software engineer specializing in meteorological data platforms, distributed systems, and real-time cloud services. I combine atmospheric science domain knowledge with modern engineering practices to deliver scalable, reliable, and usable mission-critical solutions.

At Lynker Technologies I architected a multi-region distributed data platform on AWS, led a migration from DynamoDB to ClickHouse for to support low-latency analytical analysis on 1T+ records, and built centralized APIs and automated CI/CD pipelines to improve developer and frontend performance. I also led a small engineering team through the full SDLC, drove incident response, and produced comprehensive operational documentation.

I hold dual bachelor’s degrees in Software Engineering and Meteorology and maintain a NOAA Public Trust clearance.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Lynker Technologies

Apr 2023 - Present (2 years 9 months)

Architected and delivered a multi-region distributed data platform on AWS for real-time meteorological ingest and distribution that served as the technical basis for a $380M federal contract bid; led a 3-person team and owned production incident response to improve reliability and delivery cadence.

Python Clickhouse DynamoDB AWS fastAPI Terraform GitHub Actions Distributed Systems CI CD

Software Engineer

Lynker Technologies

Aug 2021 - Apr 2023 (1 year 8 months)

Migrated archival workflows to event-driven microservices, built data validation visualizations for NOAA products, and authored deployment and operational documentation that reduced off-hour escalations by 20% and deployment time by 75%.