Senior Software Engineer, Security/Privacy, Enterprise Technology Services

At Apple, new insights have a way of becoming revolutionary products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish.

The Emerging Technologies team specializes in building forward-looking, extremely scalable platforms. The team has a passion for solving challenging problems, exploring new domains, and engineering transformational solutions. The diversity of our team and thinking inspires innovation that runs through everything we do. We are looking for a talented software engineer with expertise in designing and developing some of the largest and most scalable applications in the world. This core engineering role requires you to be hands-on in coding, building and tuning extremely scalable, distributed services. You will design and build novel software solutions utilizing applied machine learning and generative AI algorithms at scale. You need to have a track record that demonstrates innovation, strong collaboration, excellent interpersonal skills. You will work with engineering teams and business partners across Apple. Our engineering team fosters creativity and builds novel solutions to deliver engineering perfection.In this role, you will help build global scale security solutions in the space of Security, Behaviour learning, Privacy, and more. You will work with a passionate team with the goal of making the Internet safer for everyone. You will build full stack solutions that handle extremely large volumes of critical data harnessing the power of Cryptographic Privacy Protocols, NoSQL, Machine Learning, Big Data, and other emerging technologies. If youre excited about being challenged, building the next generation of security solutions, and making a significant impact in the tech world, we want to hear from you.6+ years of experience in Software Engineering, DevOps, or Site Reliability Engineering. Lead the design and architecture of scalable, distributed systems. Skilled in cloud technologies such as AWS or GCP, container technologies such as Docker and Kubernetes, and Microservices. Solid understanding of applied Machine Learning, deep Learning (including LLMs), NLP and running machine learning tasks on cloud compute. Expertise in tuning, profiling, and optimizing applications written in polyglot settings (languages such as Java, Rust or Swift on Sever). Knowledge in Relational, NoSQL Databases, and Microservices. Innovative, think out of the box, and have a strong drive for excellence. Bachelor's Degree in Computer Science/Computer Engineering or equivalent.Demonstrated success providing guidance and mentorship to junior engineers. Experience with using Privacy enabling technologies to deliver solutions. Experience with monitoring deployed solutions for performance, drift, and service level objectives (SLO) Good verbal and written communication skills, and interpersonal skills.