DataServices Engineer - Apple Wallet, Payments & Commerce

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

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

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