Job Details

Role Number: 200658257-3760

Summary

Join the team that owns the vision to enable high-quality, fast, and seamless software and model delivery for Apple's Search and Recommendation products. Serving billions of queries, our self-service intelligent platform is the backbone of engineering velocity. You will drive a mission-critical function, ensuring a fast, reliable, and secure deployment journey for over 1,000 developers.

Description

Own and evolve the end-to-end Developer Platform for CI/CD and releases, ensuring a fast, reliable, and secure deployment journey for software and models.

Own the technical strategy and roadmap for large-scale Developer Platform—CI/CD and release systems, aligning with business-level priorities.

Lead the design and rollout of platform changes that affect 1000+ developers, from design through adoption.

Identify and drive impactful KPIs (e.g., 2× faster feedback cycles, 50–70% reduction in flaky test noise, automated recovery).

Partner with engineering teams to onboard new services and models onto the platform, providing self-guided and self-service tooling.

Minimum Qualifications

• 8+ years of software engineering, including 4+ years focused on developer platforms, CI/CD, release engineering, and/or production infrastructure.

• Deep hands-on ownership of large-scale CI/CD systems and build/test infrastructure (microservices, modularized stack) with a track record of designing, not just maintaining, these systems.

• Strong coding in at least one systems/backend language (e.g., Python, Go), plus scripting for automation and tooling.

• Expertise in containers and orchestration (Docker + Kubernetes or equivalent) and running build/test/release workloads on cloud or large (AWS, GCP) clusters.

• Champion cross-team collaboration with Developers, Infra, Quality, Performance, and SRE groups. Lead ‘Incident Response Rooms’ to resolve time-sensitive release issues swiftly and effectively.

• Proven experience running robust release processes: branching strategies, quality gates, feature flag management, staged rollouts, rollbacks, and gathering insights through post-release analysis.

• Defined and owned SLOs for developer workflows: Deployment Journey—duration, success rate, flaky rate, deployment MTTResolution, release volume.

• Built robust monitoring and alerting for release platforms; led root cause analyses (RCAs) and implemented sustainable fixes.

• Demonstrated data-driven decision-making: used metrics and experiments to prioritize work and prove impact (e.g., "optimize the average time-to-green-build by 40%").

Preferred Qualifications

• AI-driven developer productivity: Hands-on experience integrating AI/LLM capabilities into developer workflows: code review assistance, intelligent test selection, triage bots, and incident summarization.

• Experience using telemetry and historical data from dev tools to drive recommendations or automation (e.g., failure analysis to accurately identify root causes and propose resolutions).

• Experience with model deployments is a plus.