Applied
Build & Release Engineer - New Grad (2027)
Sunnyvale. Posted 2 months ago
The role
This person will own release cuts, manage version uprevs, and maintain CI/CD pipelines. They will also act as the primary engineer for the internal Release Management portal.
What you will do
- Execute release cuts from Git repositories
- Manage version uprevs end to end
- Define and own release branching, tagging, and versioning strategies
- Investigate and resolve complex build failures
- Design, build, and maintain scalable software release CI/CD pipelines
- Automate build infrastructure
- Troubleshoot pipeline failures
- Own the artifact lifecycle including versioning, signing, storage, and promotion
- Administer and optimize artifact repositories
- Develop and maintain the internal Release Management portal
Required qualifications
- Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field
- Graduating by December 2026 or Summer 2027
- 3+ years of professional software development experience
- Strong coding ability in at least one modern language (e.g., Python, Go, Java, or JavaScript/TypeScript)
- Experience building and maintaining CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, Buildkite)
- Strong Git experience, including branching, tagging, and release workflows
- Experience with artifact management systems (e.g., JFrog Artifactory, Nexus, or equivalent)
- Experience designing, building, or maintaining internal tools or portals
- Strong troubleshooting skills across build, dependency, and release issues
Nice to have
- Front-end development experience (e.g., React, TypeScript)
- Experience with containerization (Docker, Kubernetes)
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with embedded/automotive release processes
- Experience with monitoring/observability tools (Grafana, Kibana, Splunk)
- Experience with Jira, Polarion, or similar issue tracking tools
About the company
Applied Intuition, Inc. is a Silicon Valley company creating digital infrastructure for physical AI. It services the automotive, defense, trucking, construction, mining and agriculture industries.