Senior Software Engineer, Enterprise Technology Services

Apple

Apple

Software Engineering, IT

Sunnyvale, CA, USA

USD 212k-318,400 / year + Equity

Posted on May 17, 2026
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. Join our team, and together we’ll explore all the ways to improve how Apple operates, freeing our employees to do what they do best: craft magical experiences for our customers. The Identity Management Services (IdMS) team is a high-impact engineering group behind the core systems that power Apple Account identity across all of Apple’s platforms from iCloud, the App Store, and Apple Music to Apple Pay, FaceTime, and the Online Store. We design and build scalable, secure infrastructure that supports billions of user interactions every day. As part of our team, you’ll collaborate with some of the most talented engineers in the industry and work with cutting-edge technologies including iOS, macOS, RESTful web services, Spring, ServiceTalk, and more. If you're excited by challenges at scale and inspired by innovation, we’d love to have you with us.
Join Apple’s Identity Management Services (IdMS) team as a Software Engineer and be part of building the next generation of innovative, high-scale software applications. We are looking for a passionate and driven engineer with experience in developing and deploying large-scale, high-demand systems. In this role, you’ll be involved in the full software development lifecycle—from architecture and design to implementation, testing, and maintenance. You will contribute to developing new product features, enhancing existing functionality, and driving performance and code quality improvements. As part of the IdMS team, you’ll collaborate closely with cross-functional partners, including business stakeholders, engineering peers, QA teams, product managers, and human interface designers. This is an opportunity to work in a dynamic, fast-paced environment where your contributions directly
  • Design and develop scalable services for identity management, including authentication, adaptive MFA and user lifecycle systems
  • Build and maintain high-performance APIs using REST and RPC with strong contract enforcement
  • Lead design discussions and contribute to architectural decisions for distributed systems
  • Drive shift-left testing strategy, ensuring integration and contract testing are embedded in development workflows
  • Integrate ML/Generative AI capabilities into identity workflows (adaptive authentication, anomalies detection)
  • Drive best practices in API design, backward compatibility, and schema evolution
  • Improve system observability through logging, metrics, and tracing
  • Improve system reliability, latency, and scalability through deep technical contributions
  • Partner with QE and platform teams to evolve testing frameworks and CI/CD pipelines
  • 5+ years of experience in software development, with significant experience in design and development of large-scale distributed systems
  • Strong Proficiency in Java, Spring, multi-threading, non-Blocking, data caching services, and data access technologies, coupled with hands-on development experience.
  • Experience in designing and implementing high-performant REST / RPC services.
  • Strong foundation in data structures, algorithms, and software engineering principles
  • Outstanding verbal and written communication skills
  • B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
  • Deep understanding authentication and authorization protocols (OAuth 2.0, OIDC, FIDO2/WebAuthn)
  • Proven track records in designing, leading and shipping mission-critical IAM Platforms and services in Java that runs at a global scale.
  • Experience with Generative AI technologies (e.g., LLMs, prompt engineering,, or AI-assisted developer tools)
  • Experience product-ionizing ML systems (model serving, feature pipelines, monitoring, drift detection)
  • Strong experience with integration testing, contract testing, and shift-left quality practices
  • Experience with cloud platforms, containers, and large-scale infrastructure