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Senior Back-End Software Engineer (Golang)

Summary

Senior Back-End Software Engineer builds and maintains high-performance, distributed systems using Golang and microservices, focusing on scalability, reliability, and global infrastructure on GCP and Kubernetes.

Senior Back-End Software Engineer (Golang)

Denver, CO – LoHi (Hybrid, 3 days/week)

Salary range: $110-155k

We are seeking an experienced Software Engineer to work on high‑performance, distributed systems operating at global scale. The role involves developing and maintaining microservice‑based architectures, improving system reliability, and contributing to technical design decisions across the platform. You will collaborate with cross‑functional teams, help drive engineering best practices, and support the delivery of scalable, reliable, and high‑quality software solutions.

Responsibilities

  • Build and maintain scalable, reliable, high‑performance systems
  • Develop services using Golang and microservice architecture
  • Work with CI/CD pipelines and infrastructure‑as‑code
  • Design solutions that support high concurrency and global scale
  • Debug, optimize, and improve low‑latency distributed systems
  • Provide technical guidance and collaborate with team members
  • Contribute to adoption of modern tools, cloud technologies, and automation
  • Work closely with stakeholders to solve complex engineering problems

Qualifications

  • 5+ years of professional software development experience
  • Minimum 1 year of hands‑on experience with Golang
  • Experience working with high‑throughput, low‑latency systems
  • Experience developing microservices architectures
  • Commercial experience with Google Cloud Platform (GCP) and Kubernetes
  • Experience working in a fast‑paced agile environment
  • Ability to mentor or support other engineers in technical areas
  • Strong interest in learning and adopting new technologies
  • Knowledge of React and TypeScript is a plus
  • Exposure to C#, .NET, MSSQL, and/or WPF is beneficial
  • Experience working in a delivery‑focused engineering culture
  • Experience using AI to accelerate the software development lifecycle, improve engineering velocity, and enhance development processes