Senior Software Engineer, ML Developer Platform - AI, Search & Knowledge Platforms

Apple • Santa Clara, CA

4h

About The Position

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. d/test/release
workloads on cloud or large (AWS, GCP) clusters.

Requirements

• 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%").

Nice To Haves

• 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.

Responsibilities

• 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.
• d/test/release workloads on cloud or large (AWS, GCP) clusters.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed