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Sr. Software Engineer, Enterprise Technology Services

At Apple - Cupertino

Posted on Oct 19

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Sr. Software Engineer, Enterprise Technology Services

At Apple - Cupertino

Posted on Oct 19

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Apple

Sr. Software Engineer, Enterprise Technology Services

Cupertino, CA$184,700 – $277,600Posted 20 days ago

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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

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization.

IS&T is the engine behind everything Apple does for customers and for the people who build for them. It's Apple's central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.

Enterprise Technology Services (ETS) is part of IS&T and delivers global-scale platforms and services that keep Apple's operations secure and running. The team manages identity, device security, and anti-abuse platforms - covering everything from manufacturing and repairs to software updates and activations. ETS also oversees supply chain, manufacturing, and partner integration platforms, protecting data on more than 2.5 billion devices worldwide. And when Apple prepares for a global product launch, ETS owns the systems that ramp factory production - managing serial numbers, network credentials, and verified software.

Description

We are looking for a self-directed, talented Software Engineer to design and develop the control plane of our security platform. In this role, you will collaborate closely with the Data Plane and other cross-functional teams to build novel features for the platform. The ideal candidate will be hands-on with coding and have expertise in building and tuning high-performance services and in creating robust, scalable distributed systems.","responsibilities":"Data Engineering Leadership: Lead the architectural design and implementation of scalable, low-latency batch and real-time data pipelines to aggregate, process, and analyze massive volumes of security data.

Platform Engineering Leadership: Architect, deploy, and scale highly resilient micro-services and platform infrastructure supporting mission-critical, customer-facing anti-abuse engines.

Culture & Ownership ("You Build It, You Own It"): Champion a "You Build It, You Own It" engineering culture by setting architectural standards and taking end-to-end accountability for system health, performance, deployment automation, and operational readiness.

Business Continuity & Resilience: Architect robust system automation, auto-healing mechanisms, chaos testing, and CI/CD pipelines to guarantee business continuity and rapid disaster recovery.

AI Enablement & Developer Velocity: Drive the adoption of AI-assisted development tools and modern software engineering practices across the team to accelerate development velocity, elevate code quality, and solve multi-domain technical challenges.

Data Architecture: Design and optimize large-scale distributed NoSQL, relational, and in-memory data architectures for real-time risk evaluation, pattern matching, and high-frequency aggregate state lookup.

Observability Strategy: Define and implement enterprise-grade observability, telemetry, and alerting strategies to proactively identify performance degradation, data quality issues, and security threats.

Mentorship & Collaboration: Provide technical leadership and mentorship to junior and mid-level engineers, while partnering with cross-functional security researchers, data scientists, and senior leadership across Apple to drive long-term technical strategy.

Preferred Qualifications

Track record of leading software projects within a team as a tech lead (TL), while mentoring software engineers.

Hands-on experience leveraging GenAI coding tools (e.g., Claude, Copilot, Codex) to accelerate the software development lifecycle, enhance code quality, and streamline debugging and testing processes.

Solid knowledge of networking concepts, protocols, and infrastructure (e.g. HTTP/HTTPS, TCP/IP, CDN, load balancing, edge computing, DNS, Zero Trust architecture, etc.).

Experience designing, implementing, and shipping high-scale, high-performance, highly available, fault-tolerant, and secure cloud-based distributed systems.

Experience with message-driven and event-driven architectures, including proficiency in messaging systems (e.g. Kafka, RabbitMQ, ActiveMQ, etc.), event sourcing, CQRS patterns, and designing reliable asynchronous communication between distributed services.

Experience with caching strategies and in-memory data technologies (e.g. Redis, Memcached, Hazelcast, Ehcache, etc.), including proficiency in cache invalidation patterns, distributed caching architectures, and session management for high-throughput applications.

Minimum Qualifications

B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.

5+ years proven experience developing software in a professional capacity. Longer experience preferred.

2+ years proven experience with Java, including proficiency in concurrency, memory management, and performance optimization techniques.

Proficiency in OOP principles, data structures, algorithms, and software design patterns (e.g. GoF), with a proven focus on implementing testable, maintainable, and extensible backend code.

Solid understanding of advanced JVM internals (e.g. garbage collection, memory allocation, JIT, JNI, etc.).

Experience in API design and implementation, including proficiency in RESTful API principles, gRPC, GraphQL, contract-first design (e.g. OpenAPI/Swagger, Protobuf, etc.), API versioning strategies, gateway patterns, rate limiting, and designing APIs for backward compatibility and long-term evolution.

Experience using relational (e.g. Oracle, Postgres, MySQL, etc.) and NoSQL (e.g. Cassandra, MongoDB, etc.) databases, including proficiency in schema design, query optimization, performance tuning (e.g. execution plan analysis, indexing strategy, and query rewriting).

Experience with cloud platforms (e.g. AWS, GCP, Azure, etc.), including proficiency in IaC, containerization, and orchestration using industry-standard tools (e.g. Terraform, Docker, Kubernetes, etc.).

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

About Apple

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

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