Platform Software Engineer, AI & Data Platforms (AiDP)

The people here at Apple dont just build products they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that encourages the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. Join Apple and help us leave the world better than we found what you could do here. At Apple extraordinary ideas have a way of becoming industry leading products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could engineers develop and maintain Apples relational database platform hosting PostgreSQL databases that power some of Apples most important workloads across Services Manufacturing AIML and beyond. Youll 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 youll ship the platform that highly-visible Apple services depend on and your work will directly impact reliability for millions of users u0026 Data Platforms (AiDP) is ISu0026Ts 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 ISu0026T 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 whats automatable will help you succeed here.

Automation Development: 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 workflowsnnAPI-Driven Services: 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 Integration/Continuous Deployment (CI/CD): Integrate database management automation into CI/CD pipelines with automated testing canary rollouts and rollback capabilitiesnnMonitoring and Alerting: 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 automaticallyn

5 years of software development experiencennExperience building highly available software services or platform infrastructurennExperience designing building and maintaining API-driven microservicesnnProficient in Python optionally Java/Kotlin/C/CnnBachelors in Computer Science or Computer Engineering or equivalent work experience

Experience building and interacting with Cloud APIs (AWS GCP)nnExperience working with relational databasesnnGood understanding of PostgreSQL internalsnnExperience supporting PaaS or DBaaS at scalennFamiliarity with observability platforms (Prometheus/Grafana Splunk or equivalent)nnExperience with AI/ML tooling LLM APIs RAG pipelines AI agent frameworks or integrating ML inference into production services