The Software Development Engineer in Test (SDET) 2 will be primarily responsible for optimizing and supporting our core builds while continuing to expand and maintain our existing Automation Test Framework. You will serve as the critical bridge between development and operations/production, ensuring our C++ codebases compile efficiently across multiple architectures, CI/CD pipelines run flawlessly, integrating automated and AI-powered quality and security checks, and making sure that our testing frameworks are seamlessly integrated.

A successful candidate will have strong experience with C++, cross-compilation toolchains, Docker-based build environments, and DevOps infrastructure (CI/CD), alongside solid Python development skills for test automation. You will work closely with product developers to accelerate build times through advanced caching, design testable features, implement new build pipeline capabilities, and ensure high product quality through regression, performance, stability, security, and smoke testing. You will leverage AI-assisted development tools, including Claude and similar LLMs, to accelerate troubleshooting, automate routine tasks, and improve productivity across build and test workflows. You will explore the integration of AI powered tools to improve our product and accelerate overall development velocity.

This position will apply company knowledge to meet well-established project deliverables, routinely applying their skills to design, develop, optimize, test, document, and deliver against requirements and specifications. You will report to the Team Lead of our Software Operations team.

• Build Infrastructure: Own, optimize, and maintain CI/CD pipelines, utilizing and building Docker build environments to ensure fast, reproducible, and scalable builds
• Compiler & Toolchain Management: Manage and optimize C++ builds across multiple target architectures, resolving compiler-level issues
• Performance Optimization: Implement build caching strategies and unit test optimizations to drastically reduce build times, accelerate feedback loops, and improve overall developer velocity
• Unit Test Integration: Integrate, maintain, and support C++ unit testing frameworks, specifically the Google Unit Test framework (gtest/gmock), within the automated build pipeline
• Automation Framework: Act as the owner of the Automation Test framework, developing the Test API used for test script writing and expanding its capabilities from the ground up
• Test Planning & Execution: Develop test plans based on functional requirements to ensure comprehensive test coverage. Perform a wide range of automation testing, data collection, and analysis tasks
• Debugging & Triage: Analyze test script and build results, trace complex build logs across various architectures, identify defects, and file detailed bug reports.
• Tool Development: Design and develop internal tools to support the Gocator team's development efforts
• Equipment Maintenance: Maintain and calibrate hardware automation equipment used for testing
• Agentic Workflows: Leverage AI tools (Claude, LLMs) to assist with build script development, debugging, log analysis, and code review

Education and Qualifications

• 5+ years of experience working as a Software Test Engineer, Build/Release Engineer, or DevOps Engineer with a strong focus on infrastructure and automation
• Bachelor’s Degree in Computer Science, Software Engineering or similar disciplines
• Strong proficiency in C++ and Python
• Deep, hands-on experience with cross-compilation, Linux, and Windows build systems. Specific experience with GCC toolchains
• Extensive experience building Docker build environments, implementing build caching, and driving unit test optimizations within CI/CD pipelines
• Experience with Github Actions or Bitbucket Pipelines feature
• Firm understanding of object oriented programming, algorithms and data structures
• Experience developing automation test framework
• Experience using LLMs for code generation, log analysis, or workflow automation
• Experience with prompt engineering or integrating AI tools into CI/CD pipelines
• Knowledge on Metrology is an asset
• Experienced with source control management systems such as Git
• Ability to work independently in a multi disciplinary team
• Strong written and verbal communication skills

Salary Range