Systems Software Developer
Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Sep 15, 2026. Apple scores B on the Alion truth index.
At Apple, we tackle large-scale engineering challenges to deliver products that are intuitive, reliable, and built to last. Our engineering teams operate at the intersection of CI systems, software architecture, data analytics, build engineering, and developer tooling - owning the systems and workflows that enable complex, large-scale projects to move fast, scale, and ship with confidence.
Description
As a Systems Software Developer, you will work closely with cross-functional teams to understand the project goals and develop systematic solutions, workflows, and approaches to achieve those goals. This would include contributing to projects in low-level software and algorithms, building CI/CD pipelines and workflows, and developing infrastructure and tooling to help deliver innovative Apple technologies and products.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
3+ years of experience designing, building, and maintaining production software systems and applications
Experience building or maintaining CI/CD pipelines and automated build or test workflows
Experience working with relational databases such as PostgreSQL in production environments
Demonstrated use of AI engineering tools and AI-assisted strategies in day-to-day development
Preferred Qualifications
Experience developing large-scale internal APIs or developer-facing tooling
Proficiency in Python and shell scripting to build automation and workflow tooling
Experience with technologies such as Docker and Kubernetes
Experience with CI platforms such as Jenkins, Buildkite, or equivalent systems
Experience developing with Swift, Xcode, or other Apple platform technologies
Familiarity with software observability, metrics systems, or developer productivity analytics
Experience working across multiple concurrent projects in a fast-paced, cross-functional engineering environment
Demonstrated ability to communicate technical concepts and project plans clearly across engineering and non-engineering stakeholders
Experience leveraging and integrating AI thoughtfully in large-scale production workflows to improve engineering throughput
Experience with Xcode and CMake are a bonus
Experience with computer vision, video processing, and/or machine learning data infrastructure is a bonus