Senior Software Engineer

GitHub, Inc.•UNAVAILABLE, UNAVAILABLE

11d•Remote

About The Position

GitHub is the home for software development, where we collaborate to build the world's leading AI-powered developer platform. In the Code Scanning organization at GitHub, we are passionate about ensuring the security and quality of the world’s software - from open source to the enterprise, written by humans and by AI tools. 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 detection and remediation engines that power several GitHub products used by hundreds of thousands of developers and projects every day: CodeQL is GitHub's semantic code analysis engine that uses world-class static analysis research and technology to deeply analyze code, enabling the early detection of security vulnerabilities and correctness errors in software. CodeQL supports a wide range of programming languages, including C/C++, C#, Go, Java, JavaScript/TypeScript, Kotlin, Python, Ruby, and Swift. It is used as the primary detection engine within the GitHub Code Security and GitHub Advanced Security products. We work as a distributed group within a distributed company. The majority of our team members live across Europe, the US, and Canada, and while we do have some offices, all our meetings are location-agnostic and happen online. We operate with a high degree of autonomy and trust, and we have a significant level of influence on the product and technical direction of security and code review products at GitHub. We value learning, introspection and reflection, and we’re always looking for ways to improve as a team and as individuals, so candor and a culture that values safety to speak up are highly important to us.

Requirements

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/TypeScript, Go, Ruby, Rust, or Python.
OR Associate’s Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, 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/TypeScript, Go, Ruby, Rust, or Python.
OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, 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/TypeScript, Go, Ruby, Rust, or Python.
OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, 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/TypeScript, Go, Ruby, Rust, or Python.
OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field.
OR equivalent experience.
3+ years of experience with one or more of the following areas: Software security, DevOps, CI solutions, orchestration and automation frameworks such as Temporal.io, software supply chain security, and best practices in creating high-quality, secure code.
OR Experience building developer tools that operate and automate software lifecycle, such as Continuous Integration pipelines, release automation and Continuous Deployment, offline evaluation tools, CLI tools, or IDE extensions.
OR Machine learning and AI applied to understanding source code, specifically building systems that use large language models (LLMs) to generate or reason about code, and systematic benchmarking and evaluation of those systems.

Nice To Haves

Experience with two or more of the areas listed above
Experience as a DevOps or DevExp engineer
Experience designing and running software lifecycle management and productivity tools for software developers

Responsibilities

Deliver CodeQL-powered analysis across all production environments, i.e. GitHub.com and GHES.
Ownership of published artifacts and deployed services and provide production operations and incident response.
Build and operate internal tooling and platforms: CI pipelines for CodeQL that let CodeQL and AI engineers validate changes at scale, ship releases with confidence, and work efficiently.
Improve offline evaluation to shorten iteration loops and reduce release risk.
Work closely with various engineering teams, product managers, designers, and technical writers that build different aspects of the code scanning product, to influence product direction and deliver features to users, with clear focus on quality, reliability, and user experience.
Engage with internal users and external users (both from enterprise customers and the open-source community) to help them succeed with the product.
Influence and provide feedback on the organizational culture and processes, always looking for opportunities to improve in a continuous pursuit of excellence.