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For Companies At a Glance
- Tasks: Design and manage CI/CD pipelines, scale infrastructure, and deploy AI/ML applications.
- Company: Fast-scaling AI startup focused on innovative solutions for real-world problems.
- Benefits: Remote work, competitive salary, and the chance to work with cutting-edge technology.
- Why this job: Join a team shaping the future of AI in a dynamic, autonomy-driven environment.
- Qualifications: 2+ years in DevOps, hands-on experience with Kubernetes, Terraform, and cloud platforms.
- Other info: Opportunity to work with modern tools and make a real impact in AI development.
The predicted salary is between 30000 - 50000 £ per year.
We\’re a fast-scaling AI startup delivering agentic and LLM-based solutions for real-world problems. As our projects grow, we need infrastructure that\’s reliable, scalable — and cost-effective.
We’re looking for a hands-on DevOps Engineer to help us scale confidently, automate relentlessly, and optimise continuously. If you’re excited about infrastructure-as-code, cloud-native tooling, and supporting next-gen AI systems in production — this is your role.
What You’ll Be Doing
- Design and manage CI/CD pipelines using Jenkins and GitHub Actions.
- Provision, scale, and monitor infrastructure using Terraform, with a strong IaC-first mindset.
- Deploy containerised applications to Kubernetes and OpenShift clusters across Azure and AWS.
- Package and scale AI/ML workloads, especially agentic systems and LLM-backed applications.
- Implement best practices for cost monitoring and optimisation in cloud deployments.
- Ensure high system availability, security, and performance using observability and logging tools.
- Collaborate with developers, ML engineers, and QA teams to streamline release workflows and environment consistency.
- Contribute to DevSecOps practices, backup strategies, and infrastructure documentation.
What We’re Looking For
- 2+ years in a DevOps or Infrastructure Engineering role.
- Must be Security Cleared or willing to undergo SC clearance.
- Proven hands‑on experience with:
- CI/CD (Jenkins, GitHub Actions)
- Kubernetes and OpenShift
- Terraform (must‑have)
- Azure and AWS cloud platforms
- Knowledge of cost optimisation strategies (e.g. autoscaling, spot instances, cost tracking tools).
- Familiarity with packaging and deploying AI/ML workloads, particularly LLMs and vector‑based apps.
- Comfortable with containerisation, Git workflows, and scripting (Bash, Python, etc.).
- Exposure to observability tools like Prometheus, Grafana, Datadog, or ELK.
- A proactive, detail‑oriented approach with strong documentation and communication skills.
- Comfortable working with JIRA for tickets and sprint rituals.
- Join a team pushing the boundaries of agentic and responsible AI.
- Work in a fast‑paced, autonomy‑driven environment with modern tools and real impact.
- Help shape how advanced AI systems are built, scaled, and operated in production.
Seniority level: Mid‑Senior level
Employment type: Temporary
Job function: Engineering, Information Technology, and Consulting
Industries: IT Services and IT Consulting, Technology, Information and Media, and IT System Custom Software Development
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London, England, United Kingdom $130,000.00-$180,000.00
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DevOps Engineer employer: Accelleo
Contact Detail:
Accelleo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving CI/CD pipelines or cloud deployments. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps scenarios and tools. Practice explaining your thought process when solving problems, as this is often more important than just getting the right answer.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace DevOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match our DevOps Engineer role. Highlight your hands-on experience with CI/CD, Kubernetes, and Terraform — we want to see how you can contribute to our projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for the role. Share why you're excited about working with AI and how your background aligns with our mission at StudySmarter.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them! We love seeing practical examples of your work, especially with cloud-native tooling and infrastructure-as-code.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter team!
How to prepare for a job interview at Accelleo
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Jenkins, GitHub Actions, Terraform, and Kubernetes. Brush up on your knowledge of Azure and AWS as well, since they’re crucial for the role.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you tackled them. Highlight your experience with cost optimisation strategies and how you’ve implemented them in cloud deployments.
✨Demonstrate Collaboration
Since the role involves working closely with developers, ML engineers, and QA teams, be ready to share examples of how you’ve successfully collaborated in the past. Communication is key, so emphasise your ability to streamline workflows.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future plans. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding AI and DevSecOps practices.
