Daniel Brown
@danielbrown2
Senior Golang Backend Engineer with expertise in high-concurrency systems.
What I'm looking for
As a Senior Golang Backend Engineer, I have a proven track record of designing and implementing high-performance backend systems. My experience includes engineering a distributed notification pipeline at Toast, where I utilized Go and Amazon SQS to deliver real-time alerts efficiently. I thrive in environments that demand low-latency solutions and have successfully tuned concurrent processing logic to handle high-throughput workloads.
Throughout my career, I have collaborated with cross-functional teams to enhance system performance and reliability. At Overleaf, I contributed to a collaborative LaTeX editor backend, significantly improving rendering responsiveness and optimizing request-routing logic. My commitment to clean architecture and robust testing practices has consistently resulted in high-quality deliverables and improved team productivity.
I am passionate about leveraging my skills in microservices architecture, containerization, and cloud infrastructure to drive innovation and efficiency in backend development. I am eager to continue pushing the boundaries of technology and contributing to impactful projects.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Toast, Inc.
Jan 2022 - Present (3 years 7 months)
Engineered a distributed notification pipeline using Go and Amazon SQS, enabling low-latency delivery of real-time alerts. Refactored core user identity service using hexagonal architecture, improving testability and isolating business logic from I/O dependencies.
Backend Engineer
Overleaf
Mar 2019 - Present (6 years 5 months)
Contributed to a collaborative LaTeX editor backend capable of real-time multi-user editing and document rendering. Improved rendering responsiveness by reducing document compilation latency by 60%, parallelizing workloads using Goroutines.
Back-End Developer
Coreflux
Aug 2015 - Present (10 years)
Developed back-end services to power an industrial IoT analytics platform, processing real-time device metrics at scale. Tuned InfluxDB schema and queries to enable fast retrieval of high-volume time-series data under concurrent dashboard load.
Education
Degrees, certifications, and relevant coursework
The Ohio State University
Bachelor of Science, Computer Science
2010 - 2015
Studied Computer Science at The Ohio State University from 2010 to 2015. Gained foundational knowledge in various aspects of computer science.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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