At a Glance
- Tasks: Design and operate cloud infrastructure for autonomous testing agents, ensuring seamless software deployment.
- Company: Duku, a pioneering tech company focused on building trust in AI-driven software.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Join a dynamic team where your contributions directly impact the evolution of software engineering.
- Why this job: Be at the forefront of AI innovation and shape the future of software reliability.
- Qualifications: Experience with cloud platforms, CI/CD pipelines, and a passion for automation and reliability.
The predicted salary is between 60000 - 80000 £ per year.
Most engineering roles build software nobody fully trusts. This one builds the trust layer itself. AI is making engineers dramatically more productive. The problem is nobody fully trusts what AI ships.
Why this matters now: AI is rewriting how software gets built. But shipping still breaks on testing. Engineering leaders are desperate to release faster without dropping quality, and they can't get there with manual QA or brittle test automation. Here’s the bigger shift: as AI writes more of the code, the bottleneck moves from generating software to trusting it. Nobody owns that trust layer yet. Duku is building it, autonomous agents that simulate real users, catch critical failures before production, and self‑heal as the product evolves. Backed by experienced operators and investors, we’re building what we believe will become a core layer of the modern software stack.
We’re looking for an exceptional DevOps Engineer to help build it. Not someone to maintain a codebase. Someone to define one.
What You’ll Do
- Own the platform: Design, build, and operate the cloud infrastructure that runs our autonomous testing agents, from commit to production.
- Make shipping effortless: Build and harden CI/CD pipelines so engineers deploy daily with confidence, not anxiety.
- Infrastructure as code: Define everything in Terraform/Pulumi, reproducible, reviewable, and disposable.
- Scale the agents: Run containerised, orchestrated workloads on Kubernetes that spin up and tear down thousands of simulated user sessions on demand.
- Own reliability: Design observability, alerting, and incident response so we catch failures before customers do.
- Tame cost and performance: Keep the cloud bill sane while the workload grows 10×.
What We’re Looking For
- Relentless drive: You execute fast, adapt faster.
- Startup scar tissue: You’ve kept production alive with no safety net.
- Cloud fluency: AWS/GCP, containers, Kubernetes, networking, IAM, you’ve built it, not just configured it.
- Automation reflex: If you’ve done it twice by hand, you’ve already scripted the third time.
- Reliability obsession: You care more about uptime and recovery than dashboards that look pretty.
- Security‑aware by default: Secrets, least privilege, and supply‑chain hygiene are habits, not afterthoughts.
Ideal Background
- There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have:
- Built and scaled infra for a high‑velocity product from 0 to 1.
- Owned CI/CD and platform tooling for a fast‑shipping engineering team.
- Run production workloads on Kubernetes under real load.
- Thrived in chaos with high ownership.
Why This Matters
Software is accelerating. The infrastructure under it has to keep up. As AI ships more code faster, the platform that tests, deploys, and trusts that code becomes the bottleneck, or the unlock. Five years from now, every high‑velocity team will run on infrastructure like the one you’ll build here. Join now, and help make that future real, before someone else does.
DevOps Engineer employer: Duku AI
At Duku, we are not just building software; we are creating the trust layer that will redefine how engineering teams operate in an AI-driven world. Our vibrant work culture fosters innovation and collaboration, empowering our employees to take ownership of their projects while enjoying flexible working arrangements. With a strong focus on professional growth and cutting-edge technology, joining us as a DevOps Engineer means being at the forefront of a transformative journey in software development.
StudySmarter Expert Advice🤫
We think this is how you could land DevOps Engineer
✨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 Duku AI 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 Duku AI.
✨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 Duku AI.
✨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 Duku AI 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
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 Duku AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Duku AI 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 Duku AI
✨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 Duku AI 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.