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Software Engineer III, Copilot Agents GitHub
Posted 10 hours 46 minutes ago by Coding Black Females Ltd.
£50,000 - £75,000 Annual
Permanent
Full Time
I.T. & Communications Jobs
Not Specified, United Kingdom
Job Description
About GitHub GitHub is the world's leading platform for agentic software development - powered by Copilot to build, scale, and deliver secure software. Over 180 million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate, and more than 77,000 organisations have adopted GitHub Copilot.
Locations In this role you can work from Remote, United Kingdom
Overview GitHub is the home for software development, where we collaborate to build the world's leading AI-powered developer platform.
In the Copilot Agents 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:
Responsibilities We are looking for a software engineer to join one of the distributed software engineering teams responsible for building and expanding code analysis engines and agents at GitHub. In this role you will work in one of the following areas, selected based on your own experience and interests, and the needs of the organization at the time of hiring:
Qualifications Required Qualifications
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!).
At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms.
Join us, and let's change the world, together.
Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

Locations In this role you can work from Remote, United Kingdom
Overview GitHub is the home for software development, where we collaborate to build the world's leading AI-powered developer platform.
In the Copilot Agents 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:
- Copilot Code Review agent is GitHub LLM-powered code review engine which provides feedback for immense volumes of code changes daily helping developers fix bugs and improve the quality of their code, leading to faster time to merge.
- Copilot Autofix is GitHub's LLM-powered remediation engine that produces high-quality fix suggestions for security or quality findings, empowering developers to fix them as soon as they are found or burn down the debt already existing in their codebase. It is used as the remediation engine within the GitHub Code Security, GitHub Advanced Security, and Copilot code review products.
- 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.
Responsibilities We are looking for a software engineer to join one of the distributed software engineering teams responsible for building and expanding code analysis engines and agents at GitHub. In this role you will work in one of the following areas, selected based on your own experience and interests, and the needs of the organization at the time of hiring:
- Code analysis
- building source code extractors that translate code written in each language into data that CodeQL can understand, keeping up with the latest version of each supported language
- writing and maintaining queries in the CodeQL query language that accurately detect security vulnerabilities and undesirable coding patterns
- ensuring the quality of LLM-powered Copilot Autofix suggestions for fixing the alerts found
- building analysis libraries in the CodeQL query language that reason precisely about the semantics of programming languages, supporting the development of queries across all languages
- experimenting with and robustly evaluating LLM-powered detection engines and integration between LLMs and traditional static analysis.
- AI agents
- LLM-based code review: Building, improving, and evaluating the detection agent for Copilot code review, using LLMs and contextual information from a codebase to produce AI-powered review comments on pull requests.
- LLM-based fix generation: Building, improving, and evaluating the Copilot Autofix agent, using LLMs and contextual information to produce actionable AI-powered fix suggestions for code security and quality findings.
- Improving the security and quality of code produced by Copilot coding agent, using the above engines and other security products at GitHub.
Qualifications Required Qualifications
- 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 Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field AND 3+ years experience
- OR Bachelor'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 Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, or related field
- OR equivalent experience.
- 2+ years of experience with one or more of the following areas:
- Software security, including static analysis, dynamic analysis, software supply chain security, and best practices in creating high-quality, secure code.
- OR Experience building developer tools that operate on source code, such as compilers, parsers, linters, static analyzers, debuggers, 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.
- Experience with two or more of the areas listed above
- Experience designing and running statistically-sound experiments to measure performance and quality, evaluating results to minimize bias and noise.
- Industry or research knowledge of compilers, program analysis, programming language design and implementation.
- OR Knowledge of logic programming or database query languages (e.g. SQL, Prolog, Datalog, Kusto Query Language).
- Experience in security research, demonstrated by a history of identifying, analyzing, and disclosing vulnerabilities in open-source projects. Comprehensive understanding of security best practices, attack vectors, and the vulnerability management lifecycle from discovery to remediation and disclosure.
- Customer-obsessed
- Ship to learn
- Growth mindset
- Own the outcome
- Better together
- Diverse and inclusive
- Model
- Coach
- Care
- Create clarity
- Generate energy
- Deliver success
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!).
At GitHub, our goal is to create the space you need to do your best work. We're remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are-because we know that people flourish when they can work on their own terms.
Join us, and let's change the world, together.
Equal Employment Opportunity GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!
Coding Black Females Ltd.
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