Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $8 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners.
At Arista, we value the diversity of thought and perspectives each employee brings. We believe 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 the Great Place to Work Survey for Best Engineering Team and 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 quality and performance standards in everything we do.
Job DescriptionWho You’ll Work With
In this role, you’ll collaborate closely with a diverse group of talented professionals, including AI researchers and data scientists who develop and fine-tune machine learning models, software engineers building scalable backend and frontend systems, and product managers who help translate business needs into impactful AI solutions. You’ll also work alongside DevOps and cloud engineers to deploy and maintain services on Google Cloud Platform (particularly Vertex AI), as well as cross-functional teams such as network engineers, IT, and documentation specialists to identify key opportunities for automation and efficiency improvements across Arista.
We're building internal tools to help other Arista teams work more efficiently.
What You’ll Do
- Develop and maintain internal conversational AI/chatbot agents for configuration, automation, and information retrieval
- Build scalable Retrieval-Augmented Generation (RAG) applications to organize and surface organizational knowledge
- Create LLM-integrated solutions to reduce manual effort and enhance decision-making across teams
- Design and implement robust, reliable data pipelines from diverse sources including web content, Confluence, Box, GitLab, and more
- Collaborate with engineering, IT, product, and documentation teams to identify high-value automation opportunities
- Continuously improve internal developer and operational experiences using AI-powered tooling
Must-Have Skills:
- 1–4 years of professional experience in software engineering or data engineering role.
- Strong programming skills in Python; solid understanding of core computer science concepts and algorithms
- Experience with API integrations and building/maintaining production-grade data pipelines
- Proficiency with software development best practices: Git, code reviews, testing, CI/CD
- Hands-on experience extracting and processing structured/unstructured data from various sources
- Excellent problem-solving skills and the ability to independently navigate ambiguous technical challenges.
Nice-to-Haves:
- Familiarity with machine learning and data science fundamentals
- Experience working with LLMs and frameworks like LangChain, LlamaIndex, or similar
- Exposure to cloud platforms—especially Google Cloud Platform (GCP) and Vertex AI
- Understanding of RAG architectures or vector search (e.g., FAISS, Pinecone)
Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right.
We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools.
Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature.
Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun.
