Platform Software Engineer, AI & Data Platforms (AiDP)

Socket.dev; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apple is seeking a software engineer to develop and operate its relational database platform that powers critical services. You will build automation for provisioning, scaling, patching, and decommissioning PostgreSQL clusters, with deep observability and robust alerting to support millions of users.

You’ll work on API-driven microservices and emerging AI/ML tooling, collaborating across teams in IS&T to scale reliability, performance, and automation across Apple’s services.

Qualifications

• 5+ years of software development experience.
• Experience building highly available software services or platform infrastructure.
• Experience designing, building, and maintaining API-driven microservices.

Responsibilities

• Develop and maintain Apple’s PostgreSQL-based data platform; provisioning, scaling, patching, and decommissioning services.
• Build secure, API-driven microservices with strong observability and alerting.
• Collaborate with AI/ML tooling teams to integrate generative AI workflows into production services.

Skills

Software development

API-driven microservices

Python

Java/Kotlin/C/C++ (optional)

Education

Bachelor's in Computer Science or Computer Engineering

Tools

PostgreSQL

Prometheus/Grafana

Kubernetes

Observability tooling

Job description

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s 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 it. Imagine 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 there's no telling what you could accomplish.

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.

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.

Minimum Qualifications

• 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

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