Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, orchestration capabilities, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue tracking, documentation, and developer environments. Apply testing, evaluation, monitoring, security, and feedback practices to non-deterministic AI systems while collaborating with developers and contributing to platform architecture and engineering processes.
Meet the Team
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network-even those they don't own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues before they affect end-user experiences.
ThousandEyes is deeply integrated across the Cisco technology portfolio and beyond, delivering AI-powered assurance insights within Cisco's Networking, Security, Collaboration, and Observability products.
Our team develops internal AI-powered tools that help software engineers work more effectively across the development lifecycle. We build agentic workflows, reusable skills, integrations, and supporting platforms that make it easier for developers to understand complex codebases, implement changes, improve quality, and automate repetitive engineering tasks.
We are a collaborative, product-minded engineering team working at the intersection of software development, developer experience, and applied AI. You will have the opportunity to experiment with emerging technologies, learn from real-world usage, and turn promising ideas into reliable tools used by engineering teams across the organization.
Your Impact
As a Software Engineer you will:
Minimum Qualifications
Preferred Qualifications
Why Cisco?
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network-even those they don't own. Powered by AI and an unmatched set of cloud, internet, and enterprise network telemetry, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues before they affect end-user experiences.
ThousandEyes is deeply integrated across the Cisco technology portfolio and beyond, delivering AI-powered assurance insights within Cisco's Networking, Security, Collaboration, and Observability products.
Our team develops internal AI-powered tools that help software engineers work more effectively across the development lifecycle. We build agentic workflows, reusable skills, integrations, and supporting platforms that make it easier for developers to understand complex codebases, implement changes, improve quality, and automate repetitive engineering tasks.
We are a collaborative, product-minded engineering team working at the intersection of software development, developer experience, and applied AI. You will have the opportunity to experiment with emerging technologies, learn from real-world usage, and turn promising ideas into reliable tools used by engineering teams across the organization.
Your Impact
As a Software Engineer you will:
- Design, build, test, and operate AI-powered tools and services for software developers.
- Develop agentic workflows, reusable skills, tool integrations, and orchestration capabilities.
- Integrate AI tools with source control, CI/CD systems, issue trackers, documentation platforms, and internal developer environments.
- Build backend services and APIs that are secure, observable, reliable, and easy to maintain.
- Apply software engineering practices to manage the non-deterministic nature of AI systems, including evaluation, testing, monitoring, and feedback loops.
- Work directly with developers to understand their workflows, identify opportunities for improvement, and iterate based on real-world feedback.
- Contribute to technical design discussions and help evolve the architecture of our AI development platform.
- Improve engineering processes, documentation, and operational practices across the team.
Minimum Qualifications
- Software development experience using Python.
- Experience designing, building, testing, and operating backend services or developer-facing tools.
- Hands-on experience designing and implementing APIs within distributed software architecturs.
- Practical experience using or developing with large language models, AI coding tools, or agentic AI systems.
- Experience working with Git, automated testing, and continuous integration and delivery workflows.
Preferred Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- Strong problem-solving and communication skills, with the ability to collaborate effectively in a cross-functional team.
- Experience developing AI agents, reusable skills, tool-calling integrations, prompts, evaluation frameworks, or agent harnesses.
- Familiarity with retrieval-augmented generation, embeddings, context management, and model evaluation.
- Experience building internal developer platforms, command-line tools, IDE integrations, or engineering productivity tooling.
- Knowledge of Kotlin, Java, Go or TypeScript.
- Understanding of Kubernetes, containers, and modern cloud deployment practices.
- Experience with observability, security, privacy, and responsible AI practices.
- Familiarity with relational, document-based, or vector datastores.
Why Cisco?
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
Cisco ThousandEyes San Francisco, California, USA Office

Our San Francisco office is nestled in the Mission Bay Neighborhood within walking distance to the Chase Center and Oracle Park. There are plenty of nearby restaurants and coffee shops to go along with an in office cafe.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


