Senior Software Engineer - Technical Architect

At Apple, we work every single day to craft products that enrich people’s lives. Our Advertising Platform makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in Apple News and Search Ads in App Store. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Imagine what you could do here. Join Apple, and help us leave the world better than we found it! A job at Apple is unlike any other you’ve had. You will be challenged. You will be inspired. And you’ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish!

Description

Apple Ads is looking for a senior engineer are seeking a hands-on and visionary technical expert with deep expertise in Java, Spring Framework, Cloud-native architecture, DevOps, and modern system design. This technical role will drive end-to-end delivery of scalable, secure, and high-performance backend systems that power business-critical applications.

You will operate at the intersection of engineering, architecture, and leadership, influencing solution design, mentoring developers, and ensuring best-in-class technical outcomes. If you’re passionate about contributing to tomorrow, we want to hear from you.

Minimum Qualifications

15+ years of experience in backend engineering, with 3+ years as a technical lead or architect.
Proficiency in Java, Spring Boot, Spring, REST APIs, and backend patterns.
Deep understanding of distributed systems, scalability, fault tolerance, and domain-driven design.
Hands-on experience with cloud platforms like AWS.
Advanced understanding of DevOps practices – GitOps, CI/CD pipelines, Docker, Kubernetes, Terraform, or equivalent.
Strong knowledge of RDBMS and NoSQL systems (e.g., PostgreSQL, MongoDB, Redis).
Excellent communication, stakeholder engagement, and mentorship capabilities.
Bachelor’s or Master’s in Computer Science or related field.

Preferred Qualifications

Generative AI & Agentic Systems – Experience integrating LLMs, prompt engineering, or agent workflows to enhance backend or frontend workflows.
Frontend Engineering – Hands-on experience with React.js, TypeScript, or BFF (Backend-for-Frontend) patterns.
Event Streaming – Kafka or equivalent for event-driven system integration.
Observability – Familiarity with monitoring and tracing tools (e.g., Prometheus, ELK, Grafana, Datadog).
Security – Understanding of API and application security best practices (OAuth2, JWT, OWASP).