4 build and release engineer jobs at 3 companies in California

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Sr. Software Engineer - Build and Release
Sunnyvale, California, United States
$189k-$271k/yr OnsiteFull Time
Intuitive
IntuitiveNASDAQ: ISRG: Global leader in robotic-assisted and minimally invasive surgery.
Experience with C/C++ and Python, build and release processes, Bazel, Git, Linux, CI/CD, Jenkins, and strong communication and analytical skills; Bachelor's degree required.
C++, Python, Bazel, Git, Groovy, Jenkins, Linux, Nix, Ansible, QNX
4d
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Release Engineer, Retail and Marcom Engineering
Sunnyvale or North America
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
3+ YOERequires 3+ years in release engineering, DevOps, or build/CI; Go or Python; CI/CD, Git, Linux, scripting, and Jenkins. Engineering or computer science BS/MS required; 5 years and advanced tools preferred.
Go, Python, Git, Linux, Bash, Shell, Groovy, Jenkins, Harness, Terraform, Ansible, CloudFormation, Artifactory, Nexus, Grafana, Prometheus, ELK, Splunk, Argo Rollouts, Docker, Kubernetes
3mo
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Android Software Engineer - Build and Release
Palo Alto, California, United States
$147k-$184k/yr HybridFull Time
Rivian and Volkswagen Group Technologies
Rivian and Volkswagen Group Technologies: Joint-venture automotive technology developing software-defined vehicle architecture and software for Rivian and Volkswagen Group electric vehicles.
BS in Computer Science or Software Engineering; strong DevOps and Android build ecosystem knowledge; Gradle and Soong; Bazel/Buck; large-scale build experience; Git; Linux/Bash/Python; CI/CD focus.
Gradle, Soong, Bazel, Buck, Linux, Bash, Python, Git, GitLab, Docker, Podman
1mo
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Sr. Engineering Program Manager, GPU and Graphics
Cupertino, California, United States
OnsiteFull Time
Apple
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Proven experience building and maintaining complex software platforms, driving end-to-end feature release lifecycle, and partnering cross-functionally to deliver GPU/graphics and ML capabilities.