Sr. Platform Software Engineer, AI & Data Platforms (AiDP)

Apple • Austin, TX

1d

About The Position

Apple is seeking a Senior Platform Software Engineer to build and maintain the automation platform for Apple’s relational database service. The team develops secure, API-driven microservices that manage the full lifecycle of PostgreSQL database clusters, including provisioning, scaling, patching, failover, and decommissioning. These services support important workloads across Apple Services, Manufacturing, AI/ML, and other areas, with a focus on reliability, durability, observability, and automation.

The role involves product engineering for a platform used by highly visible Apple services. You will develop tools to streamline database management and performance tuning, and integrate AI/ML capabilities such as intelligent configuration recommendations, workload-aware scheduling, and LLM-powered interfaces for operator workflows. You will also help maintain monitoring and alerting, develop self-healing mechanisms, and integrate database automation into CI/CD pipelines.

Requirements

• At least 5 years of software development experience.
• Experience building highly available software services or platform infrastructure.
• Experience designing, building, and maintaining API-driven microservices.
• Proficiency in Python, or optionally Java, Kotlin, or C/C++.
• A bachelor’s degree in Computer Science or Computer Engineering, or equivalent work experience.
• Experience building and interacting with cloud APIs, such as AWS or GCP.
• Experience working with relational databases.
• Good understanding of PostgreSQL internals.

Nice To Haves

• Experience supporting PaaS or DBaaS at scale.
• Familiarity with observability platforms such as Prometheus/Grafana, Splunk, or equivalent.
• Experience with AI/ML tooling, such as LLM APIs, RAG pipelines, AI agent frameworks, or integrating ML inference into production services.

Responsibilities

• Design and build tools to automate database management tasks and performance tuning.
• Integrate AI/ML capabilities into database platform workflows, including configuration recommendations, workload-aware scheduling, and LLM-powered operator interfaces.
• Design, build, and maintain secure, versioned microservices that expose database lifecycle operations through APIs.
• Ensure services handle concurrent execution correctly, manage partial failures gracefully, and evolve APIs without breaking existing consumers.
• Integrate database management automation into CI/CD pipelines, including automated testing, canary rollouts, and rollback capabilities.
• Develop and enhance monitoring, alerting, and health-check systems that provide visibility into database health.
• Build self-healing mechanisms that detect and automatically remediate known failure patterns.
• Manage PostgreSQL database lifecycle operations, including provisioning, scaling, patching, failover, and decommissioning.

What This Job Offers

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