Database Systems SRE, ASE Cassandra SRE

Apples Services Engineering organization (ASE) is seeking experienced database systems engineers to join our Cassandra SRE team. Engineers in ASE Cassandra SRE develop and contribute to software built to manage Apache Cassandra an open source distributed database powering some of Apples most critical internet services. You will be joining a team of experts working at the cutting edge of modern database deployment architectures distributed systems. The teams work is deployed at massive scale serving millions of queries per second over hundreds of petabytes of data across our data-centers worldwide. It also has big impact forming the platform upon which iCloud and many other internet services at Apple are ASE your work will benefit hundreds of millions of users and is critical to the success of some of the most visible current and future Apple features.

The ASE Cassandra SRE team develops applications and tooling that are safe reliable scalable and fast. This work requires an innovative spirit and an extraordinary degree of care and rigor in engineering. Team members contribute to all major components of Cassandra deployment infrastructure including maintenance automation backup service application monitoring and alerting tooling/dashboards deployment architecture as well as contributing back to the upstream patches to the database focused on stability performance and scaling. This role also requires excellent communication ability to partner with our Core Storage and Analytics teams and a high degree of customer focus when engaging with internal platform customers. As a distributed team ability to work effectively with colleagues based in other locations is also essential; experience in this area is a plus. Prior experience with development or maintenance of distributed databases / storage systems is recommended.

Understanding of core SRE concepts - Monitoring Alerting Incident of database concepts (consistency models isolation levels crash and recovery semantics).nPerformance engineering (design concepts profile-guided optimization).nService management across a bare metal virtualized (EC2) and containerized (K8s) style of system-level hardware and networking components (storage devices and controllers network interfaces CPU and memory layout in server-class systems).nOperating systems concepts (process scheduling disk and network I/O performance).nDatacenter architecture (networking topologies host placement strategies and failure modes); design of multi-datacenter systems; failure domains; and wide-area networking.

BS or MS in Computer Science / related fields or equivalent work experiencen7 years in a Site Reliability Engineering Infrastructure focused rolenSupport of internet-facing production services and distributed systems via deployments On Call and Incident running large scale infrastructure with a heavy reliance on automation toolingnExcellent troubleshooting and performance deep dive analysisnReal operational experience managing services at scale on KubernetesnProficient in one or more of the following programming languages: Java Go (golang) PythonnOperational experience deploying in and running on Datacenter and Cloud architectures (networking topologies host placement strategies and failure modes); design of multi-datacenter systems; failure domains; and wide-area motivated inquisitive with an aptitude to learn new technologies quickly and effectively.

Support of internet-facing production services and distributed systems via deployments On Call and Incident running large scale infrastructure with a heavy reliance on automation toolingnExcellent troubleshooting and performance deep dive analysisnReal operational experience managing services at scale on KubernetesnProficient in one or more of the following programming languages: Java Go (golang) PythonnOperational experience deploying in and running on Datacenter and Cloud architectures (networking topologies host placement strategies and failure modes); design of multi-datacenter systems; failure domains; and wide-area motivated inquisitive with an aptitude to learn new technologies quickly and effectively.