Network Development Engineer, Code Quality

Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated with Diagnostic Troubleshooting, Outage Prevention and Protected Change Management. Today, over 2,500 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform.

What We Need

NetBrain is looking for a Network Development Engineer with a focus on Code Quality to join our Platform team. You will champion software quality across the codebase by designing robust unit tests, driving CI/CD pipeline health, and applying static analysis to prevent regressions before they reach production. This role requires strong Python skills and a genuine passion for testing philosophy and software craftsmanship.

You will directly influence the reliability and maintainability of a platform that automates network operations for the world's largest enterprises. Your testing mindset and code quality standards become the foundation everyone else builds on. The ideal candidate has a philosophy about testing — not just experience with testing tools.

What You'll Do

• Design and implement comprehensive unit test suites: test design, mocking, fixtures, and edge case coverage.
• Establish and maintain static analysis tooling and enforce code quality standards across the platform.
• Contribute to and improve CI/CD pipelines to ensure automated quality gates are effective and reliable.
• Drive testing philosophy across the team — from unit tests through integration and regression testing.
• Debug complex issues using systematic, structured debugging approaches.
• Contribute Python (primary) and a second language (JavaScript/Node.js preferred) to platform quality initiatives.
• May need to work on customers' platform cases when needed.

What You Bring

• 2–4 years of Python development with a strong focus on testing, debugging, and code quality.
• Demonstrated experience with unit test design: mocking, fixtures, test coverage strategies, edge case handling.
• Hands-on experience with static analysis tools (e.g., pylint, flake8, mypy, SonarQube) and CI/CD pipelines.
• A clear testing philosophy: ability to articulate trade-offs between test types and coverage strategies.
• Proficiency in a second programming language; JavaScript/Node.js is a strong asset.
• Systematic debugging approach with the ability to isolate, reproduce, and resolve complex issues.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Nice to have: JavaScript/Node.js experience; familiarity with AI-assisted development tools; networking fundamentals.