David Lluncor
@davidlluncor
Senior staff software engineer specializing in scalable distributed systems, cloud platforms, and mentoring engineering teams.
United StatesWhat I'm looking for
I am a Senior Staff Software Engineer with over 12 years of experience designing, developing, and scaling distributed systems and cloud-native applications across AWS, Google Cloud, and Azure. I specialize in JavaScript and Python ecosystems and have built high-performance data platforms and backend services for large-scale production use.
Throughout my career at Meta, Google, Instabase, and startups, I architected cloud-native solutions to improve scalability, fault tolerance, and cost efficiency while mentoring engineers, establishing DevOps practices, and building internal platforms that accelerate engineering velocity. I have a proven record of delivering production systems that support millions of users and of guiding technical due diligence for investments.
I prioritize reliability, observability, and automation, and I seek to solve complex system-design problems, reduce manual workflows through platform work, and enable teams to move faster with robust, secure, and scalable infrastructure.
Experience
Work history, roles, and key accomplishments
Senior Staff Engineer
Meta
Sep 2022 - Present (3 years 6 months)
Developed and optimized large-scale data warehouse storage and compute infrastructure to support mission-critical analytics, improving scalability, fault tolerance, and cost efficiency while mentoring engineers and building internal platforms to accelerate engineering velocity.
Principal Engineer
Sweat Equity Ventures
May 2020 - Sep 2022 (2 years 4 months)
Designed and developed early-stage platforms for startups across healthcare, government, and ML domains, delivering production-ready backend services and guiding infrastructure and DevOps best practices to enable rapid go-to-market execution.
Senior Software Engineer
Instabase
Nov 2015 - May 2020 (4 years 6 months)
Enhanced an automation platform for enterprise workflows and large-scale data processing, improving reliability and observability, expanding testing and deployment pipelines, and building core backend platforms supporting 10,000+ users.
Built machine-learning-powered ranking features and backend services for high-traffic production systems, led experimentation (A/B) platforms, and improved model accuracy and system performance across large datasets (10M+ records).
Taught core computer science subjects including Data Structures, Discrete Math, and Compilers, mentoring 20+ students and improving academic performance through targeted instruction and lab support.
Developed production features for Google Health supporting 10,000+ users and collaborated to improve system performance and reliability, contributing to a 25% reduction in latency.
Education
Degrees, certifications, and relevant coursework
University of California, San Diego
Bachelor of Science, Computer Science
2007 - 2011
Activities and societies: Computer Science Tutor & Teaching Assistant (2007–2011); taught and mentored students, assisted faculty with labs and coursework.
Completed a Bachelor of Science in Computer Science with coursework and teaching assistant experience supporting data structures, discrete mathematics, and compilers.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Social media
Job categories
Skills
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