Senior Build and Release Engineer, Apple Services Engineering

We are looking for engineers who have exceptional expertise in build systems and release automation. Engineers who can demonstrate unique leadership skills, are passionate about working in a complex environment and codebase, and constantly obsess about the developer experience. Develop and maintain CI/CD automation to streamline the build and release processes Manage multi-environment pipelines handling pull request reviews, code validation, and deployments Manage the release lifecycle, including artifact packaging, publishing, qualification, and deployment Define and enforce release processes, branching strategies, and deployment standards Partner with teams across CloudKit to improve developer workflows and build system reliability Triage, investigate, and remediate build failures, deployment issues, and infrastructure incidents 4+ years of experience building automation frameworks and tools using Python, Golang, or Bash Hands-on experience designing and maintaining CI/CD pipelines Proficient in source code dependency management, artifact packaging, and release automation Knowledge of operating systems administration (linux or unix), network, and compiler concepts Experience with containers, cluster management, and cloud-native deployment patterns Experience troubleshooting distributed systems, including debugging Java-based stack traces Bachelor’s degree in an engineering-related field or equivalent related experience Strong familiarity with version control systems, e.g., GitHub or GitLab Strong background with infrastructure-as-code tools, e.g., Terraform, Ansible, or Puppet Strong fundamentals in CI/CD software, e.g., Jenkins, GitHub Actions, or Bamboo Proficient in build and packaging automation, e.g., Maven, Gradle, Make, and Artifactory Experience using AWS, GCP, and cloud native technologies, e.g., Docker, Kubernetes, and gRPC Experience with Kubernetes for container orchestration, including operators and Helm charts Experience with monitoring and observability tooling, e.g., Prometheus, Grafana, or Datadog

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