Software Development Engineer, Platforms

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Our team runs the CI/CD pipeline for Apple's applications which supports thousands of developers around the globe. We are passionate about continuously improving the way we enable the software development lifecycle and push the envelope to reimagine cutting edge solutions to engineering problems of scale. As a member of the team, you would develop applications and micro-services to build and improve our next generation CI/CD pipeline.

Develop and maintain CI/CD pipeline, services and integrations for Application development teams.\nCollaborate across teams to improve build, integration & release process.\nDevelop and maintain services and integrations for Apps Services CI/CD pipeline.\nMaintain and administrate dynamic K8s/Linux/macOS build farm. \nAbility to participate in an after hours on-call rotation schedule. \nIntegrate GenAI/LLM capabilities to enhance developer productivity and pipeline intelligence.

Proficient in Python programming.\nExperience with software development processes such as compilation, unit testing, code analysis, release process, and code coverage.\nExperience working on Linux and macOS based platforms and shell scripting.\nExperience with DevOps tools such as Ansible, Docker, Kubernetes, Terraform.\nExperience with CI/CD process and platforms.\nStrong analytical and problem solving skills.\nExcellent written and oral communication skills and ability to work with large development teams. \nB.S. in Computer Science or equivalent.

Experience developing Python based micro-services using Django/Flask.\nExperience with GitHub & Git based development workflow.\nExperience with Jenkins administration, scaling and Shared pipeline libraries.\nExperience scaling CI/CD systems and micro-services.\nExperience with Groovy, Xcode and Swift.\nExperience with GenAI/LLM integration, prompt engineering, or AI-assisted development tools (e.g., Copilot, code generation, intelligent test analysis).