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MountainSeedPosted 1 month ago

Sr. Full Stack Developer

$130,000–$150,000 year

On-siteAtlanta, Georgia, United States

Part TimeSenior LevelSmall

Job Summary

Build, test, and iterate quickly on prototypes and production-ready applications while leading full-stack development across front-end, back-end, and infrastructure. Leverage AI coding agents like Claude Code, GitHub Copilot, and Cursor as a core part of your daily workflow to accelerate development and automate repetitive tasks. Design and evolve AI-powered features by integrating LLMs, agents, and related infrastructure into the core product, developing APIs and cloud-native solutions on AWS. Collaborate closely with architecture, product management, and DevOps to shape requirements, ensuring smooth deployments and operational excellence through strong CI/CD and automated testing practices. Mentor junior developers and provide technical guidance within an Agile environment focused on rapid prototyping and iteration.

Required Qualifications

  • 7+ years of professional experience as a full-stack developer
  • Agile mindset with a strong focus on prototyping, iteration, and speed-to-value
  • Front End: Angular or React, strong proficiency in JavaScript/TypeScript
  • Back End: Strong, hands-on proficiency in Python required
  • Infrastructure: Deep, hands-on production experience with AWS (EC2, EKS/Kubernetes, Lambda, RDS, S3, IAM, Cognito, CloudWatch, Bedrock, etc) required
  • Quality & Testing: Strong track record writing automated tests (unit, integration, and end-to-end), test-driven development, and building test coverage into CI/CD pipelines
  • AI-Assisted Development: Demonstrated, hands-on experience using AI coding agents/assistants (e.g., Claude Code, GitHub Copilot, Cursor) to write, review, and ship code faster
  • Building AI-Powered Products: Experience building AI/LLM-powered application features (e.g., agents, RAG, embeddings), ideally leveraging AWS Bedrock
  • Solid understanding of software architecture, scalability, and performance
  • AI Tooling: Hands-on, shipped experience with LLM orchestration frameworks, evaluation/monitoring tooling, and vector databases for embeddings and retrieval required
  • Experience collaborating with DevOps teams and familiarity with CI/CD practices

Desired Qualifications

  • Nice to Have: GIS (Geographic Information Systems) knowledge or experience with geospatial data integration
  • Nice to Have: Previous leadership or mentoring experience

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