Principal Software Engineer - AI-Driven DevEx & Productivity

General Motors; Michigan; On-site; USD 160,000 - 230,000; Full time

Job summary

General Motors is seeking a Principal Software Engineer for the Developer Experience (DevEx) team to improve engineer productivity and satisfaction. The role blends engineering strategy with data-driven insights to modernize workflows across GM.

You will drive AI-enabled tooling, define golden paths, and mentor engineers while collaborating with platform, product, security, and infrastructure leaders to convert insights into concrete improvements for the SDLC.

Qualifications

• 10+ years of software development experience in senior/principal roles.
• Proficient in at least one modern language (e.g., Java, Go, C#, Python, TypeScript).
• Deep experience designing and operating CI/CD pipelines and release processes.
• Hands-on experience with developer platforms and SDLC tooling (GitHub/GitLab, Jira/ADO, secrets management, feature flags).

Responsibilities

• Set and lead technical strategy for platforms and workflows to improve productivity.
• Define and drive adoption of golden paths for shipping software including CI/CD, testing, security and observability.
• Build automation and self-service capabilities to reduce manual toil.
• Lead strategy for embedding AI into engineering workflows and tools.
• Partner with product, security, infra, and application leaders to translate pain points into improvements.
• Mentor engineers and promote best practices in software engineering and AI-assisted development.
• Define and own outcome-focused metrics and use data to guide investments.
• Govern engineering standards and reference architectures across Core IT.

Skills

Technical leadership

Systems thinking

Product mindset

AI/ML in dev workflows

Cross-team influence

Excellent communication

Tools

GitHub/GitLab

CI/CD tooling

Jira/ADO

Secrets management

Feature flags

Job description

General Motors is seeking a Principal Software Engineer for the Developer Experience (DevEx) team to improve engineer productivity and satisfaction. The role blends engineering strategy with data-driven insights to modernize workflows across GM.

You will drive AI-enabled tooling, define golden paths, and mentor engineers while collaborating with platform, product, security, and infrastructure leaders to convert insights into concrete improvements for the SDLC.