DataServices Engineer - Apple Wallet, Payments & Commerce
21 days ago Austin, TX
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
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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
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
Additional Information
- Posted: 21 days ago