Observability Site Reliability Engineer

at  Apple

SUMMARY

Posted: 31 May 2024
Role Number:200537110
People at Apple don’t just build products - they craft the kind of experience that have revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. The Apple Service Engineering(ASE) team builds and provides systems and infrastructure that fuel Apple’s services (such as iCloud, iTunes, Siri, and Maps). We are the foundation on which Apple’s software developers build the products that our customers love. We are looking for passionate and talented Site Reliability Engineers to continue our focus in providing our customers the highest quality Apple Services experience. Our services have to scale globally, stay highly available, and “just work.” If you love designing, engineering and running systems and infrastructure that will help millions of customers, then this is the place for you! The Observability SRE organization is specifically tasked with enabling other teams to better understand their infrastructure and services, providing world-class observability capabilities.

DESCRIPTION

Apple Services Engineering infrastructure is BIG. Operating at our scale, across multiple geographically dispersed data centers and servicing hundreds of millions of users presents unique challenges. As an SRE at Apple, you’ll need to solve these problems using data, teamwork, and your own expertise. SREs at Apple own the full infrastructure stack; from device driver performance debugging to content delivery network traffic management - our responsibilities are both broad and deep. ASE runs the majority of its systems on Linux. We run a mix of open source, vendor licensed, and internally developed tools to perform functions such as system configuration management, provisioning, software deployment, logging, and monitoring. You’ll learn these tools and have opportunities to improve them. Our team is collaborative; we work closely with the development teams we support to deliver the best results for Apple. We think critically and strive to balance the best solution with the need to get things done for each engineering challenge we face. Good ideas are heard and results are rewarded.

• Strong understanding of the Linux operating system
• Good understanding of the TCP/IP suite of networking protocols
• Ability to design, author, and release code in languages like Go or Python

• Hands-on experience managing large numbers of diverse systems with configuration management or software delivery platforms (such as Puppet, Chef, Ansible)Familiarity with microservices architecture and container orchestration with Kubernetes

PREFERRED QUALIFICATIONS

• Excellent troubleshooting and problem solving skills
• Bare metal management experience
• Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks
• Acute drive to automate manual operations and to improve them through repeated iteration
• Experience with scale testing, disaster recovery, and capacity planning
• Strong sense of ownership and integrity demonstrated through clear communication and collaboration
• Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment
• Experience with the Prometheus ecosystemGood understanding of infrastructure observability principles

EDUCATION & EXPERIENCE

BS/MS in Computer Science or Equivalent (5+ years of software development or production operations experience in a large-scale environment)

• Strong understanding of the Linux operating system
• Good understanding of the TCP/IP suite of networking protocols
• Ability to design, author, and release code in languages like Go or Python
• Hands-on experience managing large numbers of diverse systems with configuration management or software delivery platforms (such as Puppet, Chef, Ansible)Familiarity with microservices architecture and container orchestration with Kubernete