We are seeking a motivated Software Engineer to join our team in building and operating reliable, secure, and scalable cloud platforms and services. The role involves developing software and automation to support production systems, Kubernetes platforms, and cloud infrastructure. You will collaborate with experienced engineers and AI/ML teams to tackle technical challenges and enhance system reliability. The ideal candidate will have a strong software engineering foundation and a passion for cloud technologies and automation.

• Solid understanding of software engineering fundamentals and experience developing and maintaining production software.
• Proficiency in Python and/or Go, with the ability to write clean, maintainable, and testable code.
• Hands-on experience with Kubernetes and containers, including deploying and troubleshooting applications.
• Experience with at least one major cloud platform such as AWS, Google Cloud, or Azure.
• Familiarity with Terraform, Ansible, or similar infrastructure automation technologies.
• Understanding of reliability concepts such as monitoring, alerting, SLIs/SLOs, and incident management.
• Experience with observability technologies such as Prometheus, Grafana, or similar platforms.
• Ability to analyze system and application data to identify trends and troubleshoot issues.
• Working knowledge of distributed system concepts including availability, scalability, and fault tolerance.
• Familiarity with AI/ML concepts, LLMs, or GPU workloads is a plus.

• Design, develop, test, and maintain software, services, APIs, tools, and automation.
• Build and improve cloud-native services and platform capabilities across environments.
• Deploy, operate, and troubleshoot applications and services running on Kubernetes.
• Apply reliability engineering practices to improve system availability and operational efficiency.
• Identify repetitive operational activities and develop automation to reduce manual effort.
• Use logs, metrics, and alerts to understand system behavior and troubleshoot issues.
• Analyze operational and application data to identify trends and performance bottlenecks.
• Support infrastructure and platform capabilities for AI/ML training and workloads.
• Participate in capacity planning, performance testing, and disaster recovery exercises.
• Create and maintain technical documentation and operational procedures.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.