Senior Software Engineer II

As a Senior Software Engineer I, you will lead the design, implementation, and maintenance of scalable DevOps and automation solutions centered around the GitHub Enterprise Cloud platform. You will work across multiple projects to enhance developer productivity, streamline CI/CD pipelines, and build robust integrations using GitHub Actions, self-hosted runners, GitHub Apps, and platform APIs.

You will also leverage modern generative AI tools - such as GitHub Copilot - to accelerate development, generate test coverage, and prototype innovative solutions. Your expertise in LLM prompting and AI-assisted development will support rapid experimentation and intelligent automation across the software delivery lifecycle.

Primary Responsibilities:

• As a Lead Developer on GitHub Cloud team, youll be responsible for Management of GitHub Cloud/Runners/Actions Platform and Runner Group Architecture and Management, Capacity Planning and Performance Optimization, Security and Compliance, Developer Experience and Support, Strategic Planning and Innovation
• Design, build, and maintain GitHub self-hosted runners for scalable CI/CD pipelines for the enterprise, automations
  
• Develop and manage GitHub Apps and API integrations to automate repository management, compliance, and developer workflows
  
• Collaborate with engineering, platform, and security teams to resolve build issues, enforce policy-as-code, and optimize GitHub usage across the organization
  
• Drive automation initiatives using infrastructure-as-code and GitHub-native tooling to reduce manual effort and improve operational efficiency
  
• Apply AI-assisted development techniques to accelerate coding, testing, and documentation
  
• Prototype and validate new ideas using LLM-based tools, vibe coding, and rapid development frameworks
  
• Leverage AI building blocks such as agentic frameworks, retrieval-augmented generation (RAG), vector databases, and Model Context Protocol (MCP) to enhance platform capabilities
  
• Document processes, configurations, and best practices to ensure knowledge sharing and operational continuity
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience)
  
• 8+ years of experience in Software Engineering, with a focus on DevOps/CI/CD and Automation
  
• Hands-on experience with generative AI tools (e.g., GitHub Copilot, Windsurf, etc.)
• Experience troubleshooting complex build and deployment issues in distributed systems
  
• Deep experience with GitHub Enterprise Cloud, including Actions, runners, and GitHub Apps
  
• Solid understanding of Kubernetes, running and managing clusters & container orchestration (e.g., ECS, Kubernetes)
  
• Solid understanding of cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code tools (e.g., Terraform)
• Proficiency in scripting languages (e.g., Python, Bash, JavaScript) and GitHub REST/GraphQL APIs

Preferred Qualifications:

• Familiarity with LLM prompting, AI-assisted SDLC tools, and rapid prototyping techniques
  
• Familiarity with AI-assisted SDLC practices, including automated test generation, story creation, and documentation
• Exposure to agentic AI systems, RAG, vector databases, and emerging AI development frameworks
  
• Proven excellent communication skills and ability to work cross-functionally in agile environments

#NIC