Cisco ThousandEyes is a Digital Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences.
ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.
Your Impact
As a Senior Software Engineer you will:
- Design, build, test, and operate near real time data streaming-based (Spark/Flink) solutions for some of the largest Networking customers in the world.
- 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, MCP and APIs that are secure, observable, reliable, and easy to maintain.
- Apply large scale data processing to real time streaming telemetry across various domains.
- 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
- Professional software development experience using Java within a production environment.
- Experience across the full lifecycle (designing, building, testing, and operating) of real-time data processing pipelines, utilizing at least one core streaming or real-time analytics technology such as Apache Kafka (including Kafka Streams), Apache Flink, or ClickHouse.
- Experience designing and implementing APIs within distributed software architectures.
- Experience with Git, automated testing, Kubernetes, and continuous integration and delivery workflow.
Preferred Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field, and an excellent understanding of computer science fundamentals.
- Familiarity with relational, document-based, or vector datastores.
- Familiarity with AI-assisted development tools such as Kosmos, Codex, or Claude.
- Understanding of containers and modern cloud deployment practices.
- Strong problem-solving and communication skills, with the ability to collaborate effectively in a cross-functional team.
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.
