Systems Software Developer

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

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 with Xcode and CMake are a bonus

Experience with computer vision, video processing, and/or machine learning data infrastructure is a bonus