Software Engineer, Agentic Systems Engineering - ThousandEyes

Software Engineer, Agentic Systems Engineering - ThousandEyes

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build AI-powered tools for software developers, enhancing their workflows.
  • Company: Join Cisco ThousandEyes, a leader in Digital Experience Assurance.
  • Benefits: Enjoy competitive salary, health benefits, remote work, and growth opportunities.
  • Other info: Collaborative team culture with limitless opportunities for personal and professional growth.
  • Why this job: Make a real impact by innovating with cutting-edge AI technologies.
  • Qualifications: Experience in Python, backend services, and AI tools is essential.

The predicted salary is between 63000 - 77000 £ per year.

Meet the Team

Cisco Thousand Eyes 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, Thousand Eyes enables IT teams to proactively detect, diagnose, and remediate issues before they affect end-user experiences.

Meet the Team

Cisco Thousand Eyes 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, Thousand Eyes enables IT teams to proactively detect, diagnose, and remediate issues before they affect end-user experiences.

Thousand Eyes 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 Type Script.
  • 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.

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Software Engineer, Agentic Systems Engineering - ThousandEyes employer: Cisco

Cisco is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to lead transformative projects in the AI era. With a commitment to professional growth, employees benefit from extensive training opportunities and mentorship within a diverse, multidisciplinary environment. Located in the UK, Cisco offers a dynamic work atmosphere where your contributions directly impact global infrastructure, making it a rewarding place to advance your career.

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Contact Details:

Cisco Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer, Agentic Systems Engineering - ThousandEyes

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Cisco or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Cisco.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Cisco.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Cisco that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Software Engineer, Agentic Systems Engineering - ThousandEyes

Python
Backend Services Development
API Design and Implementation
AI Coding Tools
Git
Automated Testing
Continuous Integration and Delivery

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Cisco.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Cisco and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Cisco

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Cisco uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.