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.
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.\n\nOwn the technical strategy and roadmap for large-scale Developer Platform-CI/CD and release systems, aligning with business-level priorities.\n\nLead the design and rollout of platform changes that affect 1000+ developers, from design through adoption.\n\nIdentify and drive impactful KPIs (e.g., 2 faster feedback cycles, 50-70% reduction in flaky test noise, automated recovery).\n\nPartner with engineering teams to onboard new services and models onto the platform, providing self-guided and self-service tooling.
8+ years of software engineering, including 4+ years focused on developer platforms, CI/CD, release engineering, and/or production infrastructure.\n\nDeep 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.\n\nStrong coding in at least one systems/backend language (e.g., Python, Go), plus scripting for automation and tooling.\n\nExpertise in containers and orchestration (Docker + Kubernetes or equivalent) and running build/test/release workloads on cloud or large (AWS, Google Cloud Platform) clusters.\n\nChampion cross-team collaboration with Developers, Infra, Quality, Performance, and SRE groups. Lead 'Incident Response Rooms' to resolve time-sensitive release issues swiftly and effectively.\n\nProven experience running robust release processes: branching strategies, quality gates, feature flag management, staged rollouts, rollbacks, and gathering insights through post-release analysis.\n\nDefined and owned SLOs for developer workflows: Deployment Journey-duration, success rate, flaky rate, deployment MTTResolution, release volume.\n\nBuilt robust monitoring and alerting for release platforms; led root cause analyses (RCAs) and implemented sustainable fixes.\n\nDemonstrated 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%\").
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.\n\nExperience 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).\n\nExperience with model deployments is a plus.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: c2264818de7036fd8f51e0c2a083e1af
- Posted 16 hours ago
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