Release Engineer, Retail and Marcom Engineering

Apple•Sunnyvale, CA

About The Position

In this role, you will work within a highly collaborative environment that balances rapid execution with technical excellence. You will gain exposure to modern CI/CD tooling and emerging AI-driven automation practices, opening up clear pathways for personal growth and career advancement.

Requirements

3 years of experience in Release Engineering, DevOps, or Build/CI roles.
Strong programming experience with Go or Python.
Good understanding of CI/CD concepts, Git workflows, and branching strategies.
Experience with Linux systems and scripting (Bash, Shell, Groovy).
Proficiency in Jenkins pipeline creation, troubleshooting, and optimization.
Ability to troubleshoot build, deployment, and release issues across environments.
BS or MS in Engineering, Computer Science, or equivalent education/experience.

Nice To Haves

5 years of experience in Release Engineering, DevOps, or Build/CI roles.
Expert in CI/CD concepts, Git workflows, and branching strategies.
Hands-on experience with Harness for automated deployments and governance.
Experience integrating CI/CD pipelines with automated testing and quality gates.
Exposure to AI-driven automation in release pipelines, including automated test generation and prioritization, anomaly detection in build/release metrics, predictive failure analysis, and self-healing pipelines.
Experience using AI/ML-based tools or LLMs to accelerate root cause analysis, summarize build/release failures, or generate remediation suggestions.
Familiarity with Infrastructure as Code (Terraform, Ansible, CloudFormation).
Exposure to artifact management tools (Artifactory, Nexus).
Understanding of observability tools (Grafana, Prometheus, ELK, Splunk) to monitor release pipelines, including using anomaly detection to proactively flag pipeline health issues.
Knowledge of security best practices in CI/CD (secrets management, signing, vulnerability scanning), including AI-assisted vulnerability triage and prioritization.
Experience with feature flagging systems or progressive delivery (e.g., Argo Rollouts), including data-driven or AI-assisted rollout decisioning.
Familiarity with containerization (Docker) and orchestration basics (Kubernetes).
Strong problem-solving skills and attention to detail.
Excellent collaboration and communication skills.

Responsibilities

Work within a highly collaborative environment that balances rapid execution with technical excellence.
Gain exposure to modern CI/CD tooling and emerging AI-driven automation practices.
Troubleshoot build, deployment, and release issues across environments.
Create, troubleshoot, and optimize Jenkins pipelines.
Integrate CI/CD pipelines with automated testing and quality gates.
Utilize AI-driven automation in release pipelines, including automated test generation and prioritization, anomaly detection in build/release metrics, predictive failure analysis, and self-healing pipelines.
Use AI/ML-based tools or LLMs to accelerate root cause analysis, summarize build/release failures, or generate remediation suggestions.
Manage artifact repositories.
Monitor release pipelines using observability tools, including anomaly detection to proactively flag pipeline health issues.
Implement security best practices in CI/CD, including secrets management, signing, vulnerability scanning, and AI-assisted vulnerability triage and prioritization.
Work with feature flagging systems or progressive delivery methods, including data-driven or AI-assisted rollout decisioning.
Apply Infrastructure as Code principles.
Work with containerization and orchestration technologies.