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Software Engineer, Developer Efficiency Platform
1 hour ago
At Apple, we don't just build products, we craft experiences that redefine entire ecosystems. The Developer Efficiency Platform team is at the heart of this innovation, delivering the essential tools and systems that enable Apple's engineering teams to do their best work and iterate quickly.
As a Software Engineer on the Developer Efficiency Platform team, you'll play a key role in building high-performance systems that power developer workflows across Apple, while also helping integrate modern AI tools and practices into our platforms. This is about designing robust, scalable systems that enable hundreds of developers to ship quality services efficiently, with the added opportunity to weave intelligent, data-driven features into the developer experience.
We're seeking engineers with a strong foundation in backend development who are also curious about applying AI in practical, impactful ways. If you're excited by challenges that span distributed systems, developer tooling, and emerging intelligent features, and ready to work on systems used by engineering teams across Apple, we'd love to hear from you.
Join us, and help craft the future of developer efficiency at Apple.
Description
The Developer Efficiency Platform team is looking for a talented Software Engineer to help evolve the core systems that Apple's developers depend on every day. You'll join a team responsible for designing and scaling platforms that streamline service development, deployment, and developer workflows — with opportunities to enhance these systems using AI-driven tools and practices.
This role blends proven engineering practices with forward-looking approaches in intelligent automation and data-driven insights. You'll collaborate closely with project managers and cross-functional teams to translate clear requirements into production systems that are performant, resilient, and continually improving.
Minimum Qualifications
2+ years of industry experience building backend systems.
Strong programming skills in Java and Python.
Hands-on experience with Kubernetes for container orchestration and deployment.
Familiarity with utilizing and developing AI-driven tools to improve workflows and productivity.
Knowledge of algorithms, data structures, and distributed systems principles.
Experience with databases (relational and/or NoSQL) and scalable service architectures.
Excellent communication skills and a collaborative mindset.
BS, MS or PhD in Computer Science/Engineering
Preferred Qualifications
Experience with TypeScript and frontend development.
Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., LangChain, Hugging Face).
Background in integrating AI systems into developer tools or productivity platforms.
Experience with cloud infrastructure, containerization, and CI/CD pipelines.
Experience with messaging systems (e.g., Kafka) and microservices architectures.
Passion for developer experience and empathy for building tools that empower other engineers.