At a Glance
- Tasks: Build cutting-edge cloud infrastructure for AI and scientific experimentation.
- Company: Exciting stealth AI company with top-tier investors and a small, talented team.
- Benefits: Strong salary, meaningful equity, and flexible working arrangements.
- Other info: Join a dynamic team with huge ownership opportunities and minimal legacy.
- Why this job: Shape the future of AI and science while making a real impact.
- Qualifications: Experience in DevOps, Kubernetes, and cloud infrastructure is essential.
The predicted salary is between 60000 - 80000 £ per year.
We're working with a well-funded stealth AI company building at the intersection of AI, science, and real-world experimentation. They’re early, very ambitious, and backed by top-tier investors. The team has high talent density, is small, technical, and moving quickly, now looking for a foundational DevOps Engineer to build the infrastructure that lets researchers and engineers move fast.
This is not a “maintain the existing stack” role. You’ll be helping set the patterns from the ground up across cloud infrastructure, GPU compute, Kubernetes, CI/CD, observability, security, reproducibility, and internal tooling. The work is high-impact because the infrastructure directly supports scientific discovery. Every improvement in reliability, training speed, experiment orchestration, deployment, or researcher self-service helps the team learn faster and build better systems.
What you’ll work on:
- Build and own cloud infrastructure across AWS/GCP.
- Manage Kubernetes environments for AI workloads.
- Support GPU compute environments for model training and inference.
- Build CI/CD and GitOps workflows that let the team ship safely and quickly.
- Improve observability, monitoring, alerting, and incident response.
- Create reproducible research and production environments.
- Implement security best practices across IAM, secrets, networking, and vulnerability management.
- Build internal tools that allow researchers and engineers to self-serve infrastructure.
What we’re looking for:
- Strong DevOps, Platform Engineering, SRE, or Infrastructure background.
- Hands-on experience with Kubernetes, Docker, Terraform/Pulumi, and cloud infrastructure.
- Comfortable working with Linux, networking, CI/CD, monitoring, and security.
- Ideally experience with GPU workloads, AI infrastructure, ML platforms, MLOps, or research computing.
- Strong bias for ownership able to build properly, but pragmatically, in an early-stage environment.
- Curious, collaborative, self-driven, and excited by hard technical problems.
Nice to have:
- Experience with NVIDIA GPUs, CUDA, vLLM, Triton, Ray, Slurm, MLflow, W&B, Airflow, Argo, or DVC.
- Background in AI labs, deep tech, scientific computing, research infrastructure, or high-performance cloud platforms.
- Experience building infrastructure from scratch in a startup or high-growth environment.
Why this is interesting:
- Stealth AI company with serious backing.
- Foundational role with huge ownership.
- Build the infrastructure for AI + real-world scientific experimentation.
- Small, high-calibre team across AI, engineering, and science.
- Very little legacy — you’ll help shape how things are built.
- Strong compensation and meaningful equity.
- London HQ, with flexibility for strong people across Europe / similar time zones.
If you’re a DevOps Engineer, Platform Engineer, SRE, ML Platform Engineer, AI Infrastructure Engineer, or GPU Infrastructure Engineer who wants to build something from the ground up, I’d love to chat.
DevOps Engineer in Slough employer: Salient Group
Stealth AI Company is an exceptional employer for a DevOps Engineer, offering a unique opportunity to shape the infrastructure that supports groundbreaking scientific discovery. With a small, highly skilled team and a culture that values ownership and innovation, employees benefit from strong compensation packages, meaningful equity, and the chance to work in a dynamic environment that encourages personal and professional growth. Located in London, the company provides flexibility for remote work across Europe, making it an attractive choice for those seeking impactful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps Engineer in Slough
✨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 Salient Group 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 Salient Group.
✨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 Salient Group.
✨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 Salient Group 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 DevOps Engineer in Slough
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 Salient Group.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Salient Group 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 Salient Group
✨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 Salient Group 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.
