I am a results-driven full-stack JavaScript engineer with 10 years of experience turning complex ideas into high-value, cloud-native products. I specialize in scaling MERN/TypeScript micro-services and modernizing platforms with a focus on performance, scalability, and developer experience. Throughout my career, I've worked with global 3PLs and large-scale document AI systems, delivering solutions that delight customers and teams alike. I thrive at the intersection of technology and innovation, mentoring teams, instituting efficient CI/CD pipelines, and incorporating data-driven insights in architectural decisions. My hands-on expertise ranges from React and Next.js to AWS and Kubernetes, and I'm passionate about delivering resilient, scalable solutions that drive productivity and user satisfaction.

Ben Limmer

I am a results-driven full-stack JavaScript engineer with 10 years of experience turning complex ideas into high-value, cloud-native products. I specialize in scaling MERN/TypeScript micro-services and modernizing platforms with a focus on performance, scalability, and developer experience. Throughout my career, I've worked with global 3PLs and large-scale document AI systems, delivering solutions that delight customers and teams alike. I thrive at the intersection of technology and innovation, mentoring teams, instituting efficient CI/CD pipelines, and incorporating data-driven insights in architectural decisions. My hands-on expertise ranges from React and Next.js to AWS and Kubernetes, and I'm passionate about delivering resilient, scalable solutions that drive productivity and user satisfaction.

Available to hire

I am a results-driven full-stack JavaScript engineer with 10 years of experience turning complex ideas into high-value, cloud-native products. I specialize in scaling MERN/TypeScript micro-services and modernizing platforms with a focus on performance, scalability, and developer experience. Throughout my career, I’ve worked with global 3PLs and large-scale document AI systems, delivering solutions that delight customers and teams alike.

I thrive at the intersection of technology and innovation, mentoring teams, instituting efficient CI/CD pipelines, and incorporating data-driven insights in architectural decisions. My hands-on expertise ranges from React and Next.js to AWS and Kubernetes, and I’m passionate about delivering resilient, scalable solutions that drive productivity and user satisfaction.

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Experience Level

Expert
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Work Experience

Senior Software Engineer at Nutrient
February 28, 2025 - July 30, 2025
Modernized the core Web SDK using React 18, Next.js 14, TypeScript, Vite, and Tailwind, reducing median first-contentful paint from 3.4s to 1.2s and boosting developer trial conversions by 26%. Scaled document-processing micro-services on Node.js, GraphQL, AWS Lambda and EKS, powering apps used by approximately 1 billion end-users worldwide. Led technical due-diligence and integration efforts post several acquisitions, unifying libraries and expanding the API surface by 40% within six months. Partnered with Product to implement feature-flagged theming and orchestrated a global CI/CD rollout with minimal downtime. Developed an LLM-powered AI assistant that accelerated document review by 35%. Established Kafka, ELK, and Prometheus observability pipelines cutting time-to-detect incidents from 12 minutes to under 2, and reduced 5xx API error rates by 38% year-over-year. Championed test automation with Jest, Playwright, and Pact, achieving 87% coverage and enabling weekly releases. Mentored
Software Engineer at Locus Robotics
April 30, 2020 - July 30, 2025
Designed and implemented cloud-native microservices using Node.js/Express, backed by MongoDB, Redis, and AWS technologies, to manage real-time autonomous mobile robot fleet tasks across 40+ customer sites globally processing millions of daily pick events. Developed a modular React/TypeScript dashboard and iPad UX integrating Aila SoftScan SDK, enabling accurate scanning under difficult conditions and eliminating costly scan failures. Contributed to scaling a fulfillment platform that delivered 2–3x productivity increases to clients including DHL and GEODIS, supporting the achievement of 100 million pick milestone. Implemented real-time WebSocket and GraphQL APIs, reducing pick-confirmation latency to under 250ms, boosting picker throughput significantly. Introduced automated CI/CD pipeline using Docker, Kubernetes, Jenkins, and Terraform, reducing deployment times from two weeks to under one day while maintaining 99.95% uptime through peak seasons. Integrated Kafka event streaming an

Education

Bachelor of Science at Prescott College
January 1, 2011 - December 31, 2015

Qualifications

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Industry Experience

Software & Internet, Transportation & Logistics, Wholesale & Distribution, Manufacturing