Software Development Engineer - System Analytics & Intelligence (SAIL)

Apple Inc.
Cupertino, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$150,400
Working hours
Regular working hours

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Data Analysis Software Quality Continuous Integration Information Engineering Data Infrastructure Data Warehousing Decision-Making Software Python (Programming Language)
+14 more
Tensorflow Software Deployment Software Engineering TypeScript Web Application Frameworks Workflow Management Systems Large Language Models Backend Build Management Data Lakes Information Technology Data Analytics Non-relational Database Docker

Job description

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., 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.

Responsibilities

Design and build the service stack that delivers actionable insights to engineers and leaders across Core OS

Build and run the data foundation that maps every Core OS change across its software development lifecycle.

Own the architecture, reliability, performance, and extensibility of the systems you build

Architect and implement observability solutions, including AI-driven insights and automation

Partner with stakeholders to deliver intuitive visualizations, implement anomaly detection, and ship analytics tooling that drives continuous improvement

Use metrics, telemetry, and performance data to proactively identify, diagnose, and solve workflow bottlenecks

Requirements

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

Benefits & conditions

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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