Senior Sr. Software Engineer, Enterprise Technology Services - Jobs - Careers at Apple
- 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.
- 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.).
- 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.
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.
Required Skills
Required Languages
🇬🇧 English