The role
From Arista Networks's own posting.
Who You’ll Work With
Working in Engineering Productivity (EngProd), you will collaborate and work with other engineers to design, build, scale, and operate the systems that the rest of Arista’s development teams use. The EngProd team uses industry-standard systems like Ansible, Jenkins, Kubernetes, Grafana, Spinnaker, MySQL, ElasticSearch, Google Cloud, and Varnish and also internal systems that we’ve built from the ground-up to automate CI/CD, testing, analysis, and visualization. We believe observability is one of the cornerstones of a stable system, and endeavor to make sure we can monitor and visualize all aspects of our tooling and infrastructure.
Arista Software Engineering roles demand a strong and broad software engineering background. While the primary focus area for this role is EngProd, the role will not be limited to any single aspect of software development at Arista. It will cover all aspects of software development spanning the addition of new features, debugging problems and fine tuning code for scalability and performance. You will own your projects from definition to deployment and customer interactions, and you will be responsible for the quality of everything you deliver. 
Arista Software Engineering prides itself on a supportive and growth oriented culture. Over time, as your interests change, coupled with evolving business needs you will have the opportunity to switch from EngProd to other areas, if you like.
What You’ll Do
Review and contribute to the specifications and implementations written by other team members.
Design and develop features, feature tests and solutions. Fix bugs and refactor code as needed.
Work with Arista’s software engineers to identify bottlenecks and limitations in our workflows, tooling, and infrastructure and provide fixes for those problems. 
Provide support for our tools and infrastructure to Arista’s development team.
 
At least BS Computer Science + 3 years’ experience, MS Computer Science + 2 years’ experience, or Ph.D.  in Computer Science or equivalent work experience. 
Knowledge of one or more of Go, Python, Javascript, C++, Java. 
Knowledge of Linux (or UNIX). 
Understanding of one of operating systems, networking systems, distributed systems
Applied understanding of software engineering principles. 
Strong problem solving and software troubleshooting skills. 
Ability to design a solution and implement features independently. Ability to work in small teams.