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Senior Software Engineer, Incident Lifecycle

GitHub
Remote, USARemoteSoftware EngineeringSenior-Level$127,800 - $339,000Posted: yesterday

About the role

Senior Software Engineer, Incident Lifecycle

United States

Engineering

Individual Contributor

Yes

7142

Full Time

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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 States

Overview

The Developer Experience (DX) organization is seeking a Senior Software Engineer to join the Incident Lifecycle team. The Incident Lifecycle team builds software and workflows that help teams prepare for, respond to, and learn from incidents. Our work helps teams coordinate responses, reduce manual effort, and improve operational readiness.

The team’s work includes supporting business continuity and disaster recovery, providing visibility into service reliability and service-level commitments, and facilitating communication among technical responders, customer-facing teams, and business teams during incidents. Making these systems reliable and easy to use when teams need them most is central to our engineering work.

As a Senior Software Engineer, you’ll own work from end to end, from identifying operational needs to building, measuring, and operating the solution. You’ll work on problems that are not always well-defined, with room to explore options, make tradeoffs, and deliver improvements incrementally. You’ll build AI agents that connect production and observability tools to surface issues earlier, accelerate investigation and mitigation, automate routine tasks, and improve incident coordination.

Working with teams across GitHub, you’ll help them adopt AI-assisted workflows that improve the speed, consistency, and quality of incident response. The team owns the systems it builds and participates in an on-call rotation to keep them reliable.

Responsibilities

Design, build, and iteratively ship services, integrations, and workflows that help teams prepare for, coordinate, and learn from incidents, balancing delivery speed with long-term maintainability.

Build AI skills, agents, and AI-assisted workflows that connect production and observability tools to help responders gather context, investigate issues, and reduce repetitive work, using feedback and outcomes to improve them over time.

Drive sound architectural decisions and secure, resilient, high-quality systems through design proposals, prototypes, and code review.

Communicate technical direction, progress, tradeoffs, and risks clearly, and help other engineers grow through mentoring and collaboration.

Partner with responders, service teams, and stakeholders across GitHub to understand incident-response challenges and align on the problems worth solving.

Improve how the right people are informed and involved during incidents, including technical, customer-facing, and business partners.

Own the health of the systems the team builds, including participating in an on-call rotation and following through on improvements.

Qualifications

Required Qualifications

6+ years of experience in software engineering, computer science, or a related technical discipline, with proven experience delivering and maintaining production software in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

OR an associate degree in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related field, AND 5+ years of experience in software engineering, computer science, or a related technical discipline, with proven experience delivering and maintaining production software in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

OR a bachelor’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related field, AND 4+ years of experience in software engineering, computer science, or a related technical discipline, with proven experience delivering and maintaining production software in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

OR a master’s degree in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related field, AND 2+ years of experience in software engineering, computer science, or a related technical discipline, with proven experience delivering and maintaining production software in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.

OR a doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Mathematics, Physics, Computer Engineering, or a related field.

OR equivalent experience.

Preferred Qualifications

A bias for action: you take ownership, communicate clearly across roles, and move work forward

Curiosity and a growth mindset: you seek out unfamiliar problems and enjoy learning new tools, languages, and domains.

Resilience in ambiguity: you remain effective when requirements are unclear or priorities shift.

3+ years of experience working remotely as part of a distributed software engineering team.

Experience developing tools or products that integrate AI capabilities, particularly agents, skills or MCP servers, into production workflows.

Experience building and operating production infrastructure on a major cloud platform, with exposure to infrastructure as code and container orchestration tooling.

Compensation Range

The base salary range for this job is USD $127,800.00 - USD $339,000.00 /Yr.

These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role.

This position will be open for a minimum of 3 days, with applications accepted on an ongoing basis until the position is filled.

GitHub values

Customer-obsessed

Ship to learn

Growth mindset

Own the outcome

Better together

Diverse and inclusive

Manager fundamentals

Model

Coach

Care

Leadership principles

Create clarity

Generate energy

Deliver success

Who We Are

GitHub is the world’s leading AI-powered developer platform with 150 million developers and counting. We’re also home to the biggest open-source community on earth (and 99% of the world’s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub.

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.

Minimum requirements

  • 6+ years software engineering experience or equivalent education with proven production software delivery in languages like C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python.
  • Degree in Computer Science, Electrical Engineering, or related field with corresponding years of experience (associate +5, bachelor +4, master +2, doctorate any).
  • Proven ability to deliver and maintain production software with strong problem-solving and communication skills.

This listing was parsed by AI and may not be complete. Check the official posting on GitHub's site for the most accurate information.

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