Platform Software Engineer, AI & Data Platforms (AiDP)

Apple • Sunnyvale, CA

18h

About The Position

Our engineers develop and maintain Apple’s relational database platform — hosting PostgreSQL databases that power some of Apple’s most important workloads across Services, Manufacturing, AIML, and beyond. You’ll join a team building the automation layer that makes this possible: secure, API-driven services that manage the full lifecycle of database clusters at scale. This is product engineering — you’ll ship the platform that highly-visible Apple services depend on, and your work will directly impact reliability for millions of users worldwide. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. The team develops highly reliable, API-driven micro services to manage the full lifecycle of PostgreSQL databases at Apple: provisioning, scaling, patching, failover, and decommissioning while ensuring deep observability, durability, and automation for our customers. Maintaining and enhancing monitoring and alerting is equally important for the role. Understanding core reliability concepts - observability, monitoring, alerting, fault tolerance, auto-remediation and a drive to push the boundaries of what’s automatable will help you succeed here.

Requirements

• 5+ years of software development experience
• Experience building highly available software services or platform infrastructure
• Experience designing, building, and maintaining API-driven microservices
• Proficient in Python optionally Java/Kotlin/C/C++
• Bachelor's in Computer Science or Computer Engineering or equivalent work experience
• Experience building and interacting with Cloud APIs (AWS, GCP)
• Experience working with relational databases
• Good understanding of PostgreSQL internals
• Experience supporting PaaS or DBaaS at scale
• Familiarity with observability platforms (Prometheus/Grafana, Splunk, or equivalent)
• Experience with AI/ML tooling — LLM APIs, RAG pipelines, AI agent frameworks, or integrating ML inference into production services

Responsibilities

• Design and build tools to streamline database management tasks and performance tuning.
• Integrate AI/ML capabilities into areas like intelligent configuration recommendations, workload-aware scheduling, and LLM-powered interfaces that simplify complex operator workflows.
• Design, build, and maintain secure, versioned microservices that expose database lifecycle operations as APIs.
• Ensure correctness under concurrent execution, handle partial failures gracefully, and evolve the API surface to support new capabilities without breaking existing consumers.
• Integrate database management automation into CI/CD pipelines with automated testing, canary rollouts, and rollback capabilities.
• Develop and enhance monitoring, alerting, and health-check systems that give both the platform team and customers deep visibility into database health.
• Build self-healing mechanisms that detect and remediate known failure patterns automatically.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior