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Software Engineer, Applications, IS&T EMEA GSE
AppleLondon, England, United Kingdom
Apply 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.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
As a team, we deeply value each other’s opinions and experiences. The team is distributed, so the right candidate will need to be comfortable communicating clearly across time zones - even when you’re not always in the same room. If you’re passionate about building technology that empowers users, have a collaborative mindset, and are eager to learn and grow as an engineer, we’d love to hear from you.
- Working alongside experienced engineers, you’ll engage with the people who use what you build learning to understand their real challenges and helping transform those insights into solutions.
- This process may involve prototyping ideas, seeking feedback, and iterating under guidance from senior team members.
- You’ll develop a strong appreciation for privacy, quality, security and accessibility standards. You’ll be encouraged to ask questions, learn from colleagues in adjacent teams, and contribute to resolving support issues to maintain an excellent experience for our customers.
- Foundational programming knowledge in one or more modern languages such as Java, Swift, Go, Rust, or C#
- Understanding of computer science fundamentals (data structures, algorithms, design patterns)
- Familiarity with database concepts (Relational, NoSQL)
- An interest in security and awareness of common security principles
- Exposure to DevOps concepts, cloud architectures, or containerisation (Kubernetes, Docker) - through coursework, personal projects, or internships
- Awareness of observability and monitoring tools (e.g. Splunk, Grafana)
- Hands-on experience with using AI for development and/or building AI-based tool
- Eagerness to build relationships with colleagues across different functions
- Clear written and verbal communication skills, with a willingness to ask questions and share ideas
- Bachelor’s degree in Computer Science, Engineering, or a related field. Final-year students or recent graduates (up to 1 year post-graduation) are encouraged to apply. Relevant internship, placement, or personal project experience is valued.