Senior Engineering Manager

GitHub is seeking a Senior Engineering Manager to lead and grow a distributed engineering team (across Europe, US and Canada) in the GitHub code scanning group. We are passionate about ensuring the security and quality of the world’s software - from open source to the enterprise. We believe that the best way to secure and improve the quality of software is to detect actionable issues early in the development process and actively facilitate their remediation as part of the developer workflow.  

Our team develops the CodeQL detection engine — GitHub's semantic code analysis technology that powers the GitHub Code Scanning product, used by hundreds of thousands of developers daily as part of GitHub's Advanced Security offering. Leveraging world-class static analysis research, CodeQL deeply analyses code to detect security vulnerabilities and correctness errors early across 10 supported languages, including C/C++, C#, Go, Java, JavaScript/TypeScript, Kotlin, Python, Ruby, and Swift. The team is responsible for how CodeQL understands code across these languages: we build and maintain the extractors that produce CodeQL databases and the libraries that model each language's structure and semantics. We maintain consistent feature coverage and support frequent language-version updates to keep CodeQL broadly available. 

You’ll create the conditions for teams to succeed by establishing effective development and quality practices, supporting thoughtful design and dependency management, and championing proactive approaches to reliability, testing, and operational health. As a senior people leader, you’ll coach and develop engineers and managers, model strong collaboration, and foster a culture of learning, ownership, and continuous improvement

Required Qualifications

• 6+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python 

• • OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python 

  • OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python

  • OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python. 

  • OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field.

  • OR equivalent experience. 

• 1+ year(s) people management experience 

Preferred Qualifications 

• 2+ years of experience with one or more of the following areas: 

  • Experience building developer tools that operate on source code, such as compilers, parsers, linters, static analyzers, debuggers, CLI tools, or IDE extensions.
  • Software security, including static analysis, dynamic analysis, software supply chain security, and best practices in creating high-quality, secure code.
  • Machine learning applied to understanding source code or other structured data, specifically using prompt engineering with large language models (LLMs) and systematic benchmarking and evaluation of AI-based systems. 

• Experience working in and leading a distributed team, including operating effectively across multiple time zones (our teams span a wide time zone range from Pacific time to Central European time), recruiting, retaining team members, managing performance, calibrating expectations, providing feedback, and teaching/mentoring others.

• Ability to work with multiple stakeholders and teams across engineering, product, and design, and create a shared understanding of decision making, direction, priorities, and progress between the team, the org, and the broader company.

• Industry or research knowledge of compilers, program analysis, programming language design and implementation.

• Knowledge of logic programming or database query languages (e.g. SQL, Prolog, Datalog, Kusto Query Language).

• Experience building integrations with CI/CD systems, such as GitHub Actions or Jenkins and experience operating user-facing software at scale, including availability, observability, and security fundamentals.