Software Development Engineer - System Analytics & Intelligence (SAIL)

Core OS ships the foundational software that powers every Apple product. Accelerating developer productivity, elevating software quality, and shaping where the organization invests next all depend on turning massive amounts of workflow data into clear, strategic intelligence. The System Analytics & Intelligence (SAIL) team exists to do exactly that, identifying what matters most and driving meaningful improvements to the developer experience. Our goal is to help Core OS build better software faster.

We're looking for a software engineer who is excited to build the scalable services and data foundation that make this possible.

Description

As a hands-on engineer, you'll own the backend services, infrastructure, and data models behind SAIL's analytics products. The problems here are challenging and wide open. You'll engineer a unified platform that correlates events across many specialized systems to provide end-to-end observability of the Core OS development workflow.

We're looking for engineers who put the customer experience first, are passionate about building scalable and reliable services, and bring strong data engineering foundations. This role goes further than building and running services - you'll take part in every aspect of Core OS's software development lifecycle and own problems end to end, working cross-functionally with the engineering teams to use data to drive impact. If you're care deeply about helping Apple build better software faster, from the first line of code though review, testing, and release, this is the team for you.

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

Experience with CI/CD and production deployment practices, such as containerized deployment with Docker and Kubernetes

Strong data engineering fundamentals, including data modeling on modern data platforms (data warehouses, data lakes, or similar)

Hands-on experience using AI-assisted development tools

Ability to communicate effectively with both technical and non-technical stakeholders

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Preferred Qualifications

Experience developing highly available, high-throughput distributed services

Experience with relational and non-relational databases, message queueing, and workflow orchestration

Experience building telemetry or analytics platforms for developer productivity or software development workflows, including systems that feed automated decision-making

Experience shipping tools adopted by engineering teams beyond your own

Familiarity with building ML frameworks, AI tools, or LLM-powered services

Familiarity with TypeScript/JavaScript or modern frontend frameworks

Master's degree or higher in Computer Science, Engineering, or a related field