DataServices Engineer - Apple Wallet, Payments & Commerce

Apple Inc.; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Apple Inc. is seeking a DataServices Engineer to architect, scale, and evolve our data infrastructure across cloud and on-premises environments.

You will drive design and operational excellence for high-performance data platforms powering Apple’s financial systems at scale. The role requires 5+ years of hands-on experience with distributed data platforms and deep AWS data services knowledge, plus strong IaC and Kubernetes skills.

Qualifications

• 5+ years of hands-on experience operating and scaling distributed data platforms — including Cassandra, Kafka, Elasticsearch, Redis — in large-scale production environments
• Demonstrated ability to lead technical projects independently — from scoping and design through delivery and post-launch ownership
• Deep expertise with AWS data services (Aurora, RDS, MSK, ElastiCache) and experience designing hybrid or multi-cloud architectures
• Strong infrastructure-as-code proficiency using Terraform, Ansible, Crossplane, or equivalent — with a track record of building reusable, scalable automation
• Experience deploying and operating containerized database workloads on Kubernetes in production
• Solid Python skills for automation, operational tooling, and platform workflows
• Deep understanding of database internals — query optimization, cluster tuning, capacity planning, and failure analysis
• Proven experience designing and executing HA/DR strategies, zero-downtime migrations, and large-scale infrastructure transitions
• Strong cross-functional collaboration skills — ability to influence without authority and drive alignment across engineering teams
• Bachelor's degree in Computer Science or equivalent experience

Responsibilities

• Architect, scale, and evolve our data infrastructure across cloud and on-premises environments
• Drive the design and operational excellence of critical data platforms
• Lead automation initiatives that reduce toil and increase reliability
• Collaborate closely with application teams to deliver scalable data services
• Design and execute HA/DR strategies and large-scale migrations

Skills

Python

Kubernetes

Automation tooling

Cross-functional collaboration

Database internals

Education

Bachelor's degree in Computer Science or equivalent

Tools

Cassandra

Kafka

Elasticsearch

Redis

Terraform

Ansible

Crossplane

Kubernetes

Aurora

RDS/MSK

ElastiCache

OpenTelemetry

Grafana

Prometheus

Job description

Austin, Texas, United States Software and Services

Are you interested in building high-performance, highly scalable and available database systems that support Apple’s current and future growth? Are you seeking an environment where you can drive innovation? If so, please read ahead!WPC Engineering is looking for a skilled DataServices Engineer to help architect, scale, and evolve our data infrastructure across cloud and on-premises environments.Our team is responsible for delivering high-performance, highly available data services — including relational, NoSQL, streaming, and search platforms — that power Apple’s financial systems at massive scale. In this role, you will drive the design and operational excellence of critical data platforms, work closely with application teams, and lead automation initiatives that reduce toil and increase reliability. If you are passionate about building infrastructure that operates at the intersection of scale, resilience, and innovation, we want to hear from you.

Description

The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports 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.This position requires a highly motivated individual who likes large scale challenges in a fast-paced environment. This role requires the ability to work independently on live production systems while collaborating with multiple teams

Minimum Qualifications

• 5+ years of hands-on experience operating and scaling distributed data platforms — including Cassandra, Kafka, Elasticsearch, Redis — in large-scale production environments
• Demonstrated ability to lead technical projects independently — from scoping and design through delivery and post-launch ownership
• Deep expertise with AWS data services (Aurora Postger, RDS MSK, ElastiCache) and experience designing hybrid or multi-cloud architectures
• Strong infrastructure-as-code proficiency using Terraform, Ansible, Crossplane, or equivalent — with a track record of building reusable, scalable automation
• Experience deploying and operating containerized database workloads on Kubernetes in production
• Solid Python skills for automation, operational tooling, and platform workflows
• Deep understanding of database internals — query optimization, cluster tuning, capacity planning, and failure analysis
• Proven experience designing and executing HA/DR strategies, zero-downtime migrations, and large-scale infrastructure transitions
• Strong cross-functional collaboration skills — ability to influence without authority and drive alignment across engineering teams
• Bachelor's degree in Computer Science or equivalent experience

Preferred Qualifications

• Experience building or improving observability and alerting frameworks for database fleet monitoring (Grafana, Prometheus, OpenTelemetry)
• Experience provisioning and managing AWS Managed Data Services (RDS Aurora, MSK, ElastiCache) using Crossplane — defining cloud infrastructure as Kubernetes-native custom resources
• Familiarity with security and compliance requirements in financial data systems
• Background in platform migrations — data center-to-cloud, infrastructure consolidation, or cloud-to-cloud transitions
• Experience at elevating team technical standards through code review, runbooks, and shared tooling
• Exposure to emerging technologies including vector databases or AI-ready data infrastructure

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.