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Service Reliability Engineer- Apple Data Platform
AppleBengaluru, Karnataka, IndiaSoftware and Services
Apply At Apple, people don’t just build products—they create innovations that transform industries. Driven by diverse ideas, we deliver advanced technology and environmental leadership. Join us and help leave the world better than we found it.
Working at Apple means being challenged, inspired, and proud of what you create. Here, great ideas quickly become exceptional products, services, and customer experiences.
The Apple Services Engineering (ASE) team powers platforms like the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, delivering content at scale across 150+ countries.
ASE engineers build secure, end-to-end systems, including software, tools, server infrastructure, and APIs that support Apple services.
The ADP Processing SRE team supports analytics and data services, focusing on reliability, automation, and continuous improvement to ensure strong user experiences.
Apple’s integration of hardware, software, and services enables teams to work toward a unified vision with a deep commitment to privacy. Teams remain small and cross-functional, offering meaningful opportunities to learn and contribute.
The Service Reliability Engineer (SRE) role in Apple Services Engineering requires a mix of strategic engineering and design along with hands-on, technical work. This SRE will configure, tune, and fix multi-tiered systems to achieve optimal application performance, stability and availability.
We manage jobs as well as applications on bare-metal and cloud computing platforms to deliver data processing for many of Apple’s global products. Our teams work with exabytes of data, petabytes of memory, and tens of thousands of jobs to enable predicable and performant data analytics enabling features in Apple Music, TV+, Appstore and other world class products.
If you love designing, running systems that will impact millions of users, then this is the place for you!
- Support Java-based applications & Spark/Flink jobs on Baremetal, AWS & Kubernetes
- Ability to understand the application requirements (Performance, Security, Scalability, etc.) and assess the right services/topology on AWS, Baremetal & Kubernetes
- Build automation to enable self-healing systems
- Build tools to monitor high performance & alert the low-latency applications
- Ability to troubleshoot application-specific, core network, system & performance issues.
- Involvement in challenging and fast-paced projects supporting Apple's business by delivering innovative solutions.
- Monitor production, staging, test and development environments for a myriad of applications in an agile and dynamic organisation.
- 0-18 months of experience in a Site Reliability Engineering role.
- Understanding of SRE principles and goals.
- Good programming skills in any high level languages like Python, Go, Java.
- Familiarity with Linux environments (process management, file systems, troubleshooting) and networking fundamentals (HTTP/HTTPS, DNS, TCP/IP).
- Ability to analyze issues, identify root causes, and propose solutions.
- Effective communication skills and the ability to complete tasks with attention especially during incidents.
- Bachelor’s or Master’s degree in Computer Science or a related field.
- Exposure to cloud platforms like Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
- Basic understanding or academic/project exposure to big data technologies such as Apache Hadoop, Apache Spark, or Apache Flink.
- Strong analytical and problem-solving skills, with the ability to learn new technologies quickly.
- Exposure to collaborative development (e.g., team projects, internships, or open-source contributions), including working with distributed teams.
- Familiarity with production support processes, incident management, and system reliability.
- Basic understanding of CI/CD pipelines and deployment workflows.
- Familiarity with containerization tools like Docker and to orchestration systems such as Kubernetes.
- Awareness of monitoring and observability tools like Prometheus and Grafana.
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