Cisco ThousandEyes Logo

Cisco ThousandEyes

Senior Software Engineer - ThousandEyes

Posted 7 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in London, Greater London, England
Senior level
Remote or Hybrid
Hiring Remotely in London, Greater London, England
Senior level
Design, build, test, and operate real-time streaming data solutions using Spark and Flink. Develop agentic AI workflows, tool integrations, orchestration capabilities, backend services, MCP systems, and secure APIs. Integrate AI tools with development platforms, apply large-scale telemetry processing, contribute to architecture decisions, and improve engineering and operational practices.
The summary above was generated by AI
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.

Similar Jobs at Cisco ThousandEyes

13 Days Ago
Remote or Hybrid
Entry level
Entry level
Cloud • Software
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.
Top Skills: Agentic AiAi Coding ToolsAPIsCi/CdContainersDistributed SystemsDocument DatabasesEmbeddingsGitGoJavaKotlinKubernetesLarge Language ModelsPythonRelational DatabasesRetrieval-Augmented GenerationTypescriptVector Databases
One Month Ago
Remote or Hybrid
Mid level
Mid level
Cloud • Software
Design, operate, and scale large distributed systems for telemetry processing. Build automation, use AI tooling to reduce toil, ensure availability and disaster recovery, participate in on-call incident response, troubleshoot production AWS/Kubernetes environments, and collaborate with application teams to meet SLOs/SLAs.
Top Skills: Ai ToolingAWSGnu/LinuxGoKubernetesPythonTerraform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account