Senior Software Engineer - ThousandEyes

Posted 3 Hours Ago
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Hiring Remotely in London, Greater London, England, GBR
Remote or Hybrid
Senior level
Cloud • Software
We deliver visibility from switch to SaaS and everything in between—so you can deliver flawless digital experiences.
The Role
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.
Summary Generated by Built In
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.

Skills Required

  • 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 workflows.
  • Knowledge or experience with real-time data processing technologies such as Kafka Streams, ClickHouse, Flink, or 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 effective cross-functional collaboration.

What the Team is Saying

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The Company
HQ: San Francisco, CA
1,100 Employees
Year Founded: 2010

What We Do

Cisco ThousandEyes is a Digital Experience 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.

Why Work With Us

Thousand eyes it a quickly growing company with great opportunities. We empower enterprises to see, understand, and improve digital experiences for their customers and employees. We value professional development, and work with team members to achieve their career goals.

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Cisco ThousandEyes Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 20 % of the time
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