Software Engineer Network Automation, Data Center Fabrics in London

Software Engineer Network Automation, Data Center Fabrics in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build systems for large-scale networks in data centres using cutting-edge technology.
  • Company: Join Mistral, a dynamic team passionate about AI and innovation.
  • Benefits: Comprehensive benefits package including healthcare, wellness programs, and work-life balance support.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Make a real impact in AI while working with advanced networking technologies.
  • Qualifications: Hands-on experience with Ethernet switching, IP routing, and network automation is essential.

The predicted salary is between 60000 - 80000 £ per year.

About Mistral

Mistral provides full‑stack AI solutions: from frontier models to developer tools, applications, and compute.

We partner with enterprises tackling the hardest problems—across high‑stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co‑creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society.

Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Our teams are distributed between Europe, North America, Asia and the Middle East.

We are creative, low‑ego and team‑spirited.

The Role

As a Software Engineer, Network Automation – Data Center Fabrics, you will design and build systems for operating large‑scale networks within our data centers.

Apply deep networking expertise to leaf‑spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs.

This is a hands‑on role for a networking expert who is also comfortable building production software.

Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more.

What You Will Do

  • Design and evolve leaf‑spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi‑tenant AI infrastructure.
  • Translate data‑center fabric requirements and safety properties into clear APIs, data models, validation, and automation.
  • Build reliable control‑plane software that reconciles desired and observed network state.
  • Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery.
  • Integrate with data‑center switch operating systems and management APIs while maintaining vendor‑neutral abstractions where practical.
  • Participate in the on‑call rotation, troubleshoot active data‑center network incidents, restore service, and turn root causes into lasting improvements.
  • Review designs and code, explain networking trade‑offs, and help raise network engineering quality across the organization.
  • Develop lab and production tests and turn operational lessons into better software and architecture.
  • What We’re Looking For
  • Deep hands‑on experience with Ethernet switching, IP routing, BGP‑based leaf‑spine fabrics, EVPN/VXLAN, and VRF‑based multitenancy.
  • Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes.
  • Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery.
  • Strong software‑engineering fundamentals in a general‑purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go.
  • Experience with southbound network APIs and structured configuration, such as REST, g NMI/Open Config, or NETCONF.
  • Hands‑on experience with major data‑center network operating systems, such as Cumulus Linux, Arista EOS, SONi C, Junos, or NX‑OS.
  • Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs.
  • Clear, pragmatic communication and a collaborative approach to technical leadership.
  • Nice to Have
  • Experience reading, reviewing, or contributing to Go code.
  • Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder.
  • Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE‑NG, GNS3, or similar environments.
  • Experience with high‑performance Ethernet, Ro CE, Infini Band, HPC, or large‑scale GPU infrastructure.

What we offer

We offer a comprehensive benefits package designed to support your well‑being, growth, and work‑life balance.

Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location‑specific perks.

For the most up‑to‑date details on benefits available in your location, please refer to our Benefits page.

Privacy Policy

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy.

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Software Engineer Network Automation, Data Center Fabrics in London employer: mistral

Mistral is an exceptional employer located in the vibrant Greater London area, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from competitive salaries, equity options, comprehensive health insurance, and visa sponsorship, alongside ample opportunities for professional growth within the rapidly evolving field of AI. Joining Mistral means being part of a forward-thinking team dedicated to making a meaningful impact through strategic partnerships with leading publishers and academic institutions.

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Contact Details:

mistral Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Software Engineer Network Automation, Data Center Fabrics in London

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 mistral 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 mistral.

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 mistral.

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 mistral 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 Network Automation, Data Center Fabrics in London

Ethernet Switching
IP Routing
BGP
EVPN/VXLAN
VRF-based Multitenancy
Network Automation
Software Engineering Fundamentals

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 mistral.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at mistral 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 mistral

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 mistral 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.