Job description
Company Description
Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. What sets us apart is our relentless pursuit of innovation. We leverage the latest advancements in cloud computing, artificial intelligence, and software-defined networking to provide our clients with a competitive edge in an increasingly interconnected world. Our solutions are designed to not only meet the current demands of the digital landscape but to also anticipate and adapt to future challenges.
At Arista we value the diversity of thought and perspectives that each employee brings to the table. We believe that fostering an inclusive environment, where individuals from various backgrounds and experiences feel welcome, is essential for driving creativity and innovation.
Our commitment to excellence has earned us several prestigious awards, such as Best Engineering Team, Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest standards of quality and performance in everything we do.
Job Description
Who You’ll Work With
SREs at Arista combine strong software and systems engineering with a passion for operating production systems at scale. As an SRE you’ll be part of the team responsible for our global service fleet.
What You’ll Do
As an SRE you’ll be responsible for our global CloudVision service fleet. This includes:
- Building the CI/CD lifecycle for services, from inception and design to deployment and scaling
- Improving operational processes through automation
- Identifying key service indicators to be used in capacity planning
- Owning disaster recovery and management
- Driving infrastructure and cloud-based application security design
- Leading sustainable incident response and blameless postmortems
- Being an active member of our globally distributed on-call team
Arista’s CloudVision is an enterprise network management and streaming telemetry SaaS offering. 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.
Qualifications
- BS/MS degree in Computer Science or a relevant experience subject.
- 4+ years software engineering experience.
- Experience developing or managing deployments of distributed database systems or scale out applications for a SaaS environment.
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