Operations Software Engineer- Customer Systems

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apples Information Systems and Technology (ISu0026T) organization. ISu0026T is the engine behind everything Apple does for customers and for the people who build for them. Its Apples 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 ISu0026T makes the impossible feel effortless.u2028u2028nnDo you love building solutions to handle global complexity and immense scale Imagine what you could do At Apple customer experience is at the forefront of everything we do. The Apple Customer Systems Operations team is looking for a highly skilled and motivated Software Engineer with operational depth to join our this role you will primarily focus on designing building and owning full-stack software systems and automation platforms that power the reliability observability and operational intelligence of our business-critical globally distributed you are a strong software engineer who thrives on solving real-world operational problems through clean scalable code building backend services intuitive front-end dashboards and intelligent automation pipelines this role is for you. Ideal candidates bring deep software craftsmanship with a working knowledge of production systems and are passionate about continuous improvement flawless delivery and engineering-led operational excellence.

Software Engineering (70%)nWorking alongside the Tech lead - architect develop and own full-stack applications and internal platforms that automate operational workflows system monitoring and incident management at robust backend services and REST/GraphQL APIs using Java (JEE/Spring Boot) and Python (FastAPI) following clean architecture principles with a focus on performance testability and rich responsive front-end dashboards and tooling using React enabling operations and engineering teams to gain real-time visibility into system health incidents and alongside the Tech lead - design and implement AI/LLM-powered automation agents and MCP (Model Context Protocol) servers to intelligently handle operational tasks reduce manual intervention and surface actionable scalable data pipelines ingestion services and integration layers that aggregate signals from distributed systems monitoring tools (Splunk Hubble ExtraHop) and internal u0026 Reliability (30%)nWork with a team ofhighly skilled engineers supporting group of applications and guide their work towards operations excellence gaining efficiency by automating their daily routine and execution of system health monitoring incident response and communication across critical global applications to drive operational metrics tracking KPI identification and process improvements through coordination with support and engineering understanding of production monitoring systems log analysis and troubleshooting support dashboards and proficiency in scripting languages and automation a problem-solver who is self-directed and capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner.

5 years work experience or 4 years with .S in Computer Science Computer Engineering or similar or equivalent related work proficiency in Java (Spring Boot / JEE)/ Python /FastAPI / React for developing high performance experience designing and shipping end-to-end software systems backend API layer and front-end with a focus on reliability and developer -on experience with database schema design and data access technologies (SQL and/or NoSQL).nExperience with observability tooling (Splunk Hubble ExtraHop or equivalent) for log analysis distributed tracing and dashboarding a strong plus.

Self-directed ownership-oriented mindset comfortable managing multiple priorities and delivering high-quality software in a fast-paced change-driven building and integrating with AI/LLM models including prompt engineering MCP server creation agentic workflows or model fine-tuning for operational use -directed ownership-oriented mindset comfortable managing multiple priorities and delivering high-quality software in a fast-paced change-driven environment.