Sr Lead Software Engineer - Engineering Excellence

What you'll do

• Drive adoption and governance of approved AI-assisted engineering practices, including validation standards and reusable SDLC patterns.
• Lead application-health and technical-lifecycle work, including vulnerability remediation, dependency hygiene, and modernization.
• Partner with architecture and security teams, improve engineering standards and automation, and mentor engineers.

What they ask for

• Formal training or certification in software engineering concepts.
• Secure production-application experience, including vulnerability management, dependency hygiene, and technical debt reduction.
• Hands-on technical lifecycle management and experience leading enterprise-authorized AI-assisted development tools, including setting output-validation expectations.
• Proficiency in CI/CD automation, automated testing, secure coding, and peer review; strong communication and cross-functional influence.

Nice to have

• Experience with agentic AI coding platforms such as Claude or GitHub Copilot, or application-health, static-analysis, or software-composition-analysis tools.
• Experience defining engineering standards or developer-experience initiatives; exposure to cloud-native development or infrastructure as code.

Tools

Claude, GitHub Copilot, Software Development Life Cycle, SDLC/TLM, CI/CD

AI focus

Governs responsible use of AI-assisted and agentic engineering tools for coding, code review, refactoring, testing, troubleshooting, release readiness, and incident/root-cause analysis, with human validation and secure handling of sensitive data.