Software Engineer - CloudVision

Who You’ll Work With

CloudVision is Arista’s enterprise network management and streaming telemetry SaaS offering, serving the world’s largest Financials, Media and Entertainment, Health Care, and Cloud companies. As we continue to scale the service and expand into new markets, we’re looking to grow the team with experienced Software Engineers anchored by our Bangalore and Pune team.

CloudVision’s core infrastructure is a scale-out distributed system providing real-time and historical access to the full network state, along with frameworks for building advanced analytics. It’s written in go and leverages open source technologies like HBase, ClickHouse, ElasticSearch, and Kafka under the covers. We’re constantly investing in scaling out the platform and building out richer analytics capabilities in the infrastructure.

On top of this core platform we are building network management and analytics applications to fully automate today’s enterprise network, from CI/CD pipelines for network automation, to advanced analytics and remediation for network assurance.

What You’ll Do

As a backend software engineer at Arista, you own your project end to end. You and your project team will work with product management and customers to define the requirements and design the architecture. You’ll build the backend, write automated tests, and get it deployed into production via our CD pipeline. As a senior member of the team you’ll also be expected to help mentor and grow new team members. This role demands a strong and broad software engineering background, and you won’t be limited to any single aspect of the product or development process.

Qualifications

•  BS/MS degree in Computer Science and 4+ years of relevant experience.
• Strong knowledge of one or more of programming languages (Go, Python, Java)
• Experience developing distributed systems or scale out applications for a SaaS environment
• Experience developing scalable backend systems in Go is a plus
• Experience with network monitoring, network protocols, machine learning or data analytics is a plus