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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.
- Benefits: Remote work, competitive salary, and a chance to shape the future of AI.
- Why this job: Join a team pushing AI boundaries and make a real impact.
- Qualifications: 2+ years in DevOps, hands-on experience with Kubernetes, Terraform, and cloud platforms.
- Other info: Dynamic, autonomy-driven environment with excellent growth opportunities.
The predicted salary is between 30000 - 50000 ÂŁ per year.
DevOps Engineer | Remote
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 OpenShiftclusters 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.
🌟 Why Join Us?
- 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.
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 refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving CI/CD, Kubernetes, and Terraform. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common DevOps scenarios and be ready to discuss how you've tackled challenges in past roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
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 personal or professional, don’t hesitate to mention them! We love seeing practical examples of your work, especially if they involve cloud-native tooling or AI/ML workloads.
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 you’re keen on joining our 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 ready to discuss specific challenges you've faced in previous roles and how you tackled them. This is especially important for a DevOps Engineer, where optimising processes and troubleshooting issues are key.
✨Demonstrate Your Collaboration Skills
Since the role involves working closely with developers, ML engineers, and QA teams, be prepared to share examples of how you’ve successfully collaborated in the past. Highlight your communication skills and how you ensure everyone is on the same page.
✨Prepare Questions About Their Projects
Show genuine interest by preparing thoughtful questions about the company’s current projects and future plans. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.