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

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, C++ (Programming Language), Cloud Computing, Databases, Computer Engineering, Continuous Delivery, Continuous Integration, Relational Databases, Failover, Fault Tolerance, Python (Programming Language), PostgreSQL, Machine Learning, Platform as a Service (PAAS), Performance Tuning, Prometheus, Software Engineering, System Software, Retrieval-Augmented Generation, Large Language Models, Grafana, Kotlin, Build Management, Information Technology, Data Management, Machine Learning Operations, Virtual Agents, Api Design, Splunk, Microservices
- **Published:** November 4, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28158137/Sr-Platform-Software-Engineer-Ai-Data-Platforms-Aidp-Texas-Austin-7413

## About the Role

5+ years of software development experience

Experience building highly available software services or platform infrastructure

Experience designing, building, and maintaining API-driven micro services

Proficient in Python or optionally Java, Kotlin, or C/C++

Bachelor's in Computer Science or Computer Engineering or equivalent work experience

Preferred Qualifications

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

## Description

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.

Responsibilities

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 workflows

API-Driven Services: Design, build, and maintain secure, versioned micro services 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

Continuous Integration/Continuous Deployment (CI/CD): Integrate database management automation into CI/CD pipelines with automated testing, canary rollouts, and rollback capabilities

Monitoring 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 automatically.