at Apple
Location
Cupertino, United States of America
Compensation
$185k–$325k USD
Type
full time
Posted
1 months ago
Market range · company + function + seniority
p25 · target · p75 · n=800
Posted $325k · above the band
Posting health
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As a senior member of the Services Engineering Team, You'll build and operate high-throughput, low-latency backend services that ingest, process, and serve data at scale across a range of mission-critical workloads — from real-time transactions to analytics and content delivery. You'll also help evolve a multi-tenant platform, including AI/ML-powered services, by shipping new capabilities, scaling what exists, and applying distributed-systems best practices from design through production.
Design and build new features and services with a focus on scalability, responsiveness, fault tolerance, and high availability.
Design and build large-scale backend services that are resilient to failures, without breaking downstream consumers.
Partnering with search/ranking teams, ML Teams and business teams to ship customer-facing features through performant, well-modeled service APIs.
Provide technical guidance and mentorship, fostering a culture of learning and growth.
Master's degree in Computer Science or a related field
8+ years of professional software development experience building scalable, distributed systems in production
Experience building, authoring, and operating large-scale, multi-tiered distributed systems and customer-facing web services: including API design, authentication, authorization, scaling for high availability, concurrency, and reliability.
Strong understanding of concurrency and multi-threaded programming, fundamental data structures, and efficient algorithm design
Strong proficiency in Java; working knowledge of a second systems language (Go, C++) is a plus. Solid OO analysis and design skills.
Strong proficiency in application frameworks (Spring boot)
Hands on experience with JVM performance tuning and profiling - GC selection/tuning, JFR, async-profiler, heap/thread-dump analysis for low-latency services.
Hands-on with async and reactive JVM stacks: Netty, Project Reactor, RxJava, Vert.x, or Micronaut/Quarkus.
Rigorous testing discipline with JUnit 5, Mockito, AssertJ, Testcontainers, and contract testing.
Hands on experience with build and dependency management with Gradle
Deep understanding of transactional consistency models - ACID semantics, with deep knowledge of tradeoffs between relational and NoSQL database technologies
Expertise with synchronous and asynchronous network I/O and RPC frameworks (gRPC)
Experience building and maintaining CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, or similar) for automated testing, build, and deployment of production services.
Experience with AWS or GCP and cloud-native tooling (Docker, Kubernetes) in the context of deploying scalable production grade services.
Experience with event streaming and queueing systems (specifically Kafka) and stream processing frameworks and high-throughput, append-only write paths for durable, queryable historical records.
Hands on Experience of leveraging data storage (Iceberg, Cassandra) and caching technologies (Redis) in Production services
Hands on experience with Serialization/schema tooling: Jackson, Protobuf, Avro, and Schema Registry
Experience identifying, triaging, and remediating security vulnerabilities in production services (dependency management, secure code review, threat modeling).
Self-motivated, with strong collaboration and communication skills, and experience in a fast-paced, agile environment
Experience with machine learning systems, ML frameworks, libraries and algorithms
Familiarity with deployment and optimization of Large scale Production grade AI Services that require GPUs in the path of the transaction.
Hands-on experience deploying, serving, and optimizing LLMs or ML models directly in the transaction/request path
Experience with security and cryptography (e.g., TLS, X.509 certificates) identity and access management protocols (OAuth2/OIDC/SAML), and secure token/session lifecycle management.
At Apple, great ideas turn into phenomenal products, services, and customer experiences at a pace few companies can match. We're looking for an experienced backend engineer to design and build massively scalable, highly available services that power experiences for Apple customers.
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. Learn more about your EEO rights as an applicant
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Learn about accessibility in Apple’s workplace
Learn about reasonable accommodations for job applicants
Apple accepts applications to this posting on an ongoing basis.
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