Who You鈥檒l Work With
SRE's at Arista combine strong software and systems engineering with a passion for operating production systems at scale. As an SRE you鈥檒l be part of the team responsible for our global service fleet.
What You鈥檒l Do:
CloudVision is deployed on Kubernetes across global regions using Spinnaker for our CI/CD pipeline. Our tech stack runs on GKE, using HBase/Hadoop as main distributed database and storage layer, ElasticSearch for powering search data, ClickHouse for fast real time queries of flow data, our own Kafka-based distributed real time stream processing layer for analytics, and TensorFlow for ML analysis. Our monitoring system is built on top of Prometheus, Grafana, Loki, and other OSS tools.
As a Senior SRE, you鈥檒l be responsible for our global CloudVision service fleet. This includes:
- Build, deploy safely and incrementally and operate critical production systems with focus on scalability, reliability, observability, performance and security.
- Monitor, support and enhance product deployment experience across services.
- Build automation to remove toil and efficiently operate production systems.
- Proactively monitor, respond to, and enhance alerts and set up automated alert handling
- Create and maintain the incident response runbooks.
- Build and deploy new systems with scalability, reliability, and observability as primary requirements
- Triage platform/infrastructural issues and help Arista software engineers in their triages. Engage with 3rd party vendor support.
- Deploy new systems in a staged manner
- Write postmortem documents and build solutions to avoid incidents from repeating.
- Plan and communicate maintenance windows on production systems.
- Work with Arista鈥檚 product development teams to identify infrastructural issues that are causing bottlenecks and limitations in their workflows. Design and implement solutions to resolve them.
- Survey and adopt best practices around infrastructure/platform to maintain secure, scalable and fault-tolerant systems.
- Implement solutions to scale the systems
- Implement fault-tolerance and performance to improve availability of the systems
- Study the design and sufficient implementation details of OSS systems for better triage and fix resolution.
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