Senior Software Engineer - ThousandEyes

AI in this role

Design and build real-time data streaming solutions, agentic workflows, and AI tool integrations for the ThousandEyes digital assurance platform.

claudecodexsparkflinkkafka-streamsclickhousegitkubernetes

ai-agentspythonjavagodistributed-systemsreal-time-data-processingapi-development

Meet the Team

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 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

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Professional software development experience using Python, Java, or Go.
Experience designing, building, testing, and operating real-time data processing pipelines.
Experience designing and implementing APIs within distributed software architectures.
Experience with Git, automated testing, Kubernetes, and continuous integration and delivery workflow.

Preferred Qualifications

Deep knowledge and interest in real-time data processing with technologies such as Kafka Streams, ClickHouse, Flink, and similar.
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.

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.

How we rate this

Senior Software Engineer - ThousandEyes at Cisco rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsPythonJavaGoDistributed SystemsReal Time Data ProcessingAPI DevelopmentClaude

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where python was part of your work. What did you do?
Tell me about a project where java was part of your work. What did you do?
Tell me about a project where go was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Python, Java, Go, and Distributed Systems. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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