Software Development Engineer, System Analytics & Intelligence (SAIL)

Core OS ships the foundational software that powers every Apple product. At that scale, accelerating developer productivity, elevating software quality, and shaping where the organization invests next take more than intuition - it takes turning massive amounts of workflow data into clear, strategic intelligence. The System Analytics & Intelligence (SAIL) team exists to do exactly that: identify what matters most, drive meaningful improvements to the developer experience, and enable Core OS to ship innovative software with high velocity and high confidence.

We're looking for a software engineer who is excited to build the systems that make this possible - the data pipelines, services, and platforms that turn raw signals from across the development lifecycle into insights that drive real organizational decisions.

Description

In this role you will be a hands-on engineer who owns the backend and data infrastructure behind SAIL's analytics products. You'll design and build large-scale data pipelines and the services and APIs that make their output accessible across the organization - from reliable, scalable ingestion and transformation to the interfaces stakeholders actually use.

We're looking for engineers with strong fundamentals who enjoy working with data at scale - people who design well-architected systems and care about correctness, reliability, and maintainability. You'll partner closely with teams across Core OS to make sure what you build delivers real impact.

Minimum Qualifications

3+ years building production software systems - including backend services and APIs - with strong proficiency in Python

Strong software engineering fundamentals, with demonstrated ability in system design and architecture

Hands-on experience building and operating data pipelines, with strong SQL and experience across modern data platforms (data warehouses, data lakes, or similar)

Experience with CI/CD and production deployment practices

Preferred Qualifications

Experience working with cloud data platforms (Snowflake, S3, or similar)

Experience with containerization technologies such as Docker and Kubernetes

Experience with data pipeline orchestration tools (Airflow, Spark, or similar) and transformation frameworks (e.g. dbt)

Familiarity with TypeScript/JavaScript or modern frontend frameworks

Background in developer productivity, CI/CD systems, or software development workflow domains

Experience with BI/visualization platforms such as Tableau