Data Services Engineer: Scalable, HA Data Platforms

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

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.