Software Engineer - Distributed Systems

Weekly Hours: 40

Role Number: 200684861-0836

Summary

Imagine what you could do here! At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. The Wallet, Payments & Commerce (WPC) team is building the world’s best software for paying, and interacting with the world, from Apple Pay, transit, and event tickets, to digital keys and identity.

We are looking for experienced engineers who are passionate about their craft, crave the challenge of architecting systems at scale, and thrive in a fast-paced environment. If you love solving meaningful problems that impact millions of people and defining the technical direction of critical services, we want to hear from you!

Description

You'll have the opportunity to lead the intricate challenge of building resilient and reliable distributed software systems at Apple's scale. You will be given flexibility to drive creative solutions, the support of a talented and driven team, and access to diverse technologies. You will have the autonomy and responsibility to take full ownership of your solutions.

You'll join a nimble team involved in every stage of the product and software development lifecycle and will design, build, test, deliver, and maintain exceptional software that truly makes a difference. In this fast-paced environment, you'll be hands-on in all phases, and will actively shape the architecture and design of our platforms and offerings through deep experience in operating, monitoring, and providing on-call support for the software you build.

As a senior member of the team, you’ll drive technical discussions, write specifications, mentor peers, review code, and produce impactful documentation. Success in this role therefore requires strong self-motivation, crisp and clear communication, a highly collaborative approach, and the ability to work effectively across teams and disciplines to define and influence engineering strategy.

Minimum Qualifications

• Extensive experience architecting, building, and maintaining mission-critical distributed systems at large scales.

• Deep understanding of distributed systems fundamentals and trade-offs in consistency, latency, and throughput.

• A commitment to engineering excellence, continuous improvement, and the curiosity to evaluate and advocate for new technologies and patterns.

• An ability to communicate thoughtfully and clearly, both verbally and in writing, to drive consensus on complex technical concepts with diverse audiences, including global teams and external partners.

• A track record of building and sustaining healthy long-term relationships and technical influence within your team and beyond its boundaries.

• The tenacity and perseverance to lead complex projects all the way from conception to production.

• BS degree in computer science or equivalent experience

Preferred Qualifications

• Deep hands-on software development expertise with Java or Kotlin or Scala and Spring.

• Proven development and operational experience with high-volume REST and/or gRPC services (either server-to-server or mobile client facing).

• Strong experience designing for containerization and orchestration (e.g. Docker, Kubernetes).

• Significant time spent architecting, building, and operating cloud-native (e.g. AWS) applications with resilience, failover, and self-healing as core features.

• Expertise in designing robust CI/CD pipelines and defining infrastructure as code.

• Extensive experience with observability strategies and tools (e.g. Prometheus, Grafana, OpenTelemetry, Datadog).

• Deep understanding of modern networking and experience using traffic tools for tracing and debugging.

• A fundamental appreciation for, and understanding of security, privacy, and cryptography (e.g. PKI, certificate management, JWT).

• Hands-on experience optimizing SQL/NoSQL databases for scale (e.g. Cassandra, DynamoDB).

• ODI additions: Understanding of data engineering/pipelines and observability/Understanding of iOS frameworks/ML model training and inference/Critical use of AI/ML tools

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.