The Developer Efficiency Platform team at Apple is looking for a talented Software Engineer to help evolve the core systems that Apple's developers depend on every day. This role involves designing and scaling platforms that streamline service development, deployment, and developer workflows — with opportunities to enhance these systems using AI‑driven tools and practices.
Responsibilities
Design, build, and optimize scalable backend services and APIs in Java and Python to support developer efficiency workflows across Apple.
Collaborate with project managers to gather requirements and translate them into technical solutions that improve developer productivity.
Develop and maintain large-scale systems that enable hundreds of developers to build, test, and deploy services efficiently.
Integrate AI‑driven tools and capabilities into production systems to automate workflows, provide intelligent insights, and enhance developer experience.
Build and maintain containerized services using Kubernetes for reliable deployment and orchestration.
Evolve platform architectures for reliability, maintainability, and performance at scale.
Write clean, maintainable, and well‑tested code that upholds Apple's high standard of engineering excellence.
Participate in code reviews, architectural discussions, and production troubleshooting, sharing knowledge and elevating quality across the team.
Contribute to CI/CD pipelines and infrastructure automation to enable rapid, safe deployments.
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.
Compensation Base pay range $116,800 – $226,000 CAD. Comprehensive benefits including medical, dental, retirement, product discounts, tuition reimbursement, and eligibility for stock programs and discretionary bonuses.
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Responsibilities
Design, build, and optimize scalable backend services and APIs in Java and Python to support developer efficiency workflows across Apple.
Collaborate with project managers to gather requirements and translate them into technical solutions that improve developer productivity.
Develop and maintain large-scale systems that enable hundreds of developers to build, test, and deploy services efficiently.
Integrate AI‑driven tools and capabilities into production systems to automate workflows, provide intelligent insights, and enhance developer experience.
Build and maintain containerized services using Kubernetes for reliable deployment and orchestration.
Evolve platform architectures for reliability, maintainability, and performance at scale.
Write clean, maintainable, and well‑tested code that upholds Apple's high standard of engineering excellence.
Participate in code reviews, architectural discussions, and production troubleshooting, sharing knowledge and elevating quality across the team.
Contribute to CI/CD pipelines and infrastructure automation to enable rapid, safe deployments.
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.
Compensation Base pay range $116,800 – $226,000 CAD. Comprehensive benefits including medical, dental, retirement, product discounts, tuition reimbursement, and eligibility for stock programs and discretionary bonuses.
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