Site Reliability Engineer (SRE/ DevOps) - Engineering Productivity
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.
Who You'll Work With
Arista Networks is looking for a skilled professional for our Engineering Productivity (EngProd) team to help maintain and support our rapidly expanding infrastructure and internal user base. The ideal candidate is someone who can wear many hats, is versatile and is enthusiastic about learning new technologies. As a part of the software engineering team, you will work with other team members to design, build and administer secure, scalable and fault-tolerant tools and infrastructure in a hybrid cloud environment.
Working in the EngProd group, you will collaborate and work with other engineers to design, build, scale, and operate the systems used by Arista's product development teams. These systems are based on industry-standards, including Ansible, Artifactory, Gerrit, Jenkins, Kubernetes, Grafana, Spinnaker, MySQL, ElasticSearch, Google Cloud, Varnish, Perforce, Gerrit etc, 3rd party storage appliances, as well as internal systems developed from the ground-up to automate CI/CD, testing, analysis, and visualization.
What You'll Do
Build, deploy safely and incrementally, and operate critical production systems with focus on scalability, reliability, observability, performance and security.
Build automation to remove toil and proactively monitor, respond to, and enhance alerts with automated handling.
Create and maintain incident response runbooks, triage platform and infrastructural issues, and write postmortem documents to prevent recurring incidents.
Plan and communicate maintenance windows on production systems while engaging with 3rd party vendor support as needed.
Work with Arista's product development teams to identify infrastructural bottlenecks and design solutions to enhance developer experience and workflow efficiency.
Survey and adopt best practices around infrastructure and platform design to maintain secure, scalable and fault-tolerant systems, including studying OSS system implementations for better triage and resolution.
#Linux #UNIX #Go #Python #Shell Scripting #Ansible #Docker #Kubernetes
Essential Skills
At least BSc Computer Science or Engineering + 3 years’ experience, MS Computer Science or Engineering + 3 years’ experience, or equivalent work experience.
Knowledge of one or more of Go, Python, shell scripting to be able to implement medium complexity automation workflows.
Knowledge of Linux (or UNIX) from administration and debugging perspective
Hands-on experience in operating software systems (infrastructure, complex applications etc) at scale
Experience in server provisioning (esp from storage and networking perspective).
Strong problem solving and software troubleshooting skills
Experience with infrastructure-as-code
Desired Skills
Experience managing databases - mariadb, postgres, mongodb etc
Experience with docker and virtualization technologies - kvm, qemu, kata-containers etc
Experience managing monitoring stack - Prometheus, Loki, Tempo, InfluxDB, Grafana, Thanos etc
Experience managing ElasticSearch clusters
Experience managing Artifactory, docker registry etc
Experience managing CI/CD systems like ArgoCD, Spinnaker etc
Experience managing version control systems like Perforce, Gerrit etc
Experience with infrastructure-as-code frameworks like Ansible
Experience managing large Java applications
Experience in storage infrastructure management eg: NAS, SAN, Ceph etc