Senior Software Engineer, Enterprise Technology Services

Apple Inc

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Work type: On-site
Location: Austin, TX
Posted: 4 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $186k

$140k most similar roles pay here $234k

This listing doesn't post a salary. Most similar roles pay $157,537–$214,000.

Based on 240 similar postings.

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About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2299 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1870 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Enterprise Technology Services

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Sr. Software Engineer, Enterprise Technology Services joins the Identity Management Services team within the Information Systems and Technology organization. This role focuses on building and operating the high-scale distributed Java services that power Apple Account identity systems, including authentication, adaptive MFA, and user lifecycle management. You will design and develop high-performance REST and RPC APIs while integrating machine learning and generative AI capabilities for anomaly detection and adaptive authentication. Key responsibilities include owning features from architecture through production support, improving system observability, and driving shift-left testing strategies. The role requires expertise in the Spring ecosystem, including Spring Boot and WebFlux, along with experience in gRPC, GraphQL, and contract-first design. You will work on distributed systems to manage high-volume requests while ensuring reliability, scalability, and security across various core services.

What does a Software Engineer earn in Texas?

Median $192050 from 193 postings across 39 companies.

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Skills

Java Spring Boot Spring MVC Spring Security Spring Data Spring Cloud WebFlux REST gRPC GraphQL OpenAPI Swagger Protobuf Kafka RabbitMQ Redis Memcached CI/CD Microservices Distributed Systems

What you'll do

Design and develop scalable identity services for authentication, adaptive MFA, and user lifecycle management.
Build and maintain high-performance REST and RPC APIs with strict contract enforcement.
Lead architectural decisions and design discussions for distributed systems at a global scale.
Integrate machine learning and generative AI capabilities into identity workflows for anomaly detection.
Implement advanced system observability through logging, metrics, and tracing to improve reliability.
Drive "shift-left" testing strategies including integration and contract testing during the development phase.
Establish standards for API design, backward compatibility, and schema evolution across the platform.
Improve system performance by making measurable gains in latency and scalability.

What we're looking for

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent professional experience.
5+ years of proven experience developing software in a professional capacity (longer experience preferred).
2+ years of experience with Java, including concurrency, memory management, and performance optimization.
Proficiency in OOP principles, data structures, algorithms, and software design patterns to build testable and maintainable backend code.
Experience building production applications using the Spring ecosystem, including Spring Boot, Spring MVC, Spring Security, and WebFlux.
Proficiency in Java web frameworks (e.g., ServiceTalk, Dropwizard, Quarkus) and unit testing frameworks like JUnit or Mockito.
Experience designing and shipping high-scale, fault-tolerant, and secure cloud-based distributed systems.
Experience in API design including RESTful principles, gRPC, GraphQL, contract-first design, and versioning strategies.
Track record of leading software projects as a tech lead and mentoring engineers (preferred).
Hands-on experience leveraging GenAI coding tools to accelerate development and improve code quality (preferred).
Experience with message-driven/event-driven architectures and messaging systems like Kafka or RabbitMQ (preferred).
Experience with caching strategies and in-memory data technologies such as Redis or Memcached (preferred).