Open to opportunities

Ben Archer

@benarcher

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Senior software engineer delivering scalable full-stack solutions and leading high-performing teams.

United States

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What I'm looking for

I am seeking senior full-stack roles where I can lead engineering efforts, ship scalable systems, mentor teams, and apply cloud-native CI/CD practices to deliver measurable product impact.

I am a Senior Software Engineer with 7+ years designing and delivering scalable full-stack web applications, leading cross-functional teams, and mentoring engineers.

I specialize in backend development with Node.js, Java, Python, and .NET, and I build resilient APIs, microservices, and database solutions across MySQL, PostgreSQL, and MongoDB.

On the frontend I create dynamic, responsive UIs using React, Next.js, Material UI, Ant Design, and performance-minded animation libraries like Framer Motion, while maintaining high automated test coverage with Jest, Mocha, and Chai.

I drive cloud and DevOps practices using AWS (EC2, Lambda, RDS, CloudFront, API Gateway, SNS, SQS, EventBridge), GitHub Actions, Docker, and CI/CD pipelines to improve reliability, reduce costs, and accelerate deployments.

Experience

Work history, roles, and key accomplishments

Current

Lead Software Developer

Current

Expert Technologies Group

Feb 2022 - Present (4 years)

Led a team of 6+ engineers to architect and scale the HomeSchool Panda multi-tenant platform, improving load performance by 35%, achieving 99.9% uptime, and reducing infrastructure costs by 25% through AWS optimizations.

PostgreSQL AWS EC2 RDS Cloudfront GraphQL GitHub Actions Docker Microservices CI CD

Senior Software Engineer

Geisinger

Jan 2020 - Feb 2022 (2 years 1 month)

Led delivery of scalable web solutions and microservices, improving form conversion by 25% for a major client and reducing checkout latency by 35% during peak events via backend optimizations.

MongoDB Redis JWT Docker GitHub Actions Microservices Jest

Software Engineer

IVCi

Jan 2016 - Jan 2020 (4 years)

Developed reusable front-end components and RESTful APIs, implemented serverless functions and data pipelines that cut infrastructure costs ~30% and reduced average response times by 35%.