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.
BS or MS in Computer Science / related fields or equivalent work experience
7+ years in a Site Reliability Engineering Infrastructure focused role
Support of internet-facing production services and distributed systems via deployments, On Call and Incident Management.
Experience running large scale infrastructure with a heavy reliance on automation tooling
Excellent troubleshooting and performance deep dive analysis
Real operational experience managing services at scale on Kubernetes
Proficient in one or more of the following programming languages: Java, Go (golang), Python
Operational 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 networking.
Self 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 Management.
Experience running large scale infrastructure with a heavy reliance on automation tooling
Excellent troubleshooting and performance deep dive analysis
Real operational experience managing services at scale on Kubernetes
Proficient in one or more of the following programming languages: Java, Go (golang), Python
Operational 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 networking.
Self motivated, inquisitive with an aptitude to learn new technologies quickly and effectively.