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For Companies At a Glance
- Tasks: Design and maintain CI/CD pipelines while integrating AI technologies.
- Company: Leading enterprise organisation with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge AI and DevOps technologies.
- Qualifications: 5-10 years in DevOps roles with experience in regulated environments.
- Other info: Exciting chance to shape the future of AI in a secure setting.
The predicted salary is between 60000 - 80000 £ per year.
I’m working with a leading enterprise organisation looking for a skilled DevOps / AI Engineer to join their growing technology team. This is a fantastic opportunity for someone who enjoys working across DevOps, automation, and emerging AI/GenAI technologies within a secure, regulated environment.
Role Overview
You’ll play a key role in delivering end-to-end software lifecycle solutions—spanning CI/CD, Infrastructure as Code, system reliability, and AI-enabled engineering practices.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps)
- Automate infrastructure using Terraform and Ansible
- Ensure high availability, scalability, and security of systems
- Collaborate with Dev, QA, and Ops teams to streamline releases
- Troubleshoot build, deployment, and infrastructure issues
- Maintain configuration management and documentation (Jira, Confluence)
- Ensure compliance with enterprise controls and regulatory standards
- Work independently to deliver high-quality outcomes
AI / GenAI Focus
- Enable and integrate GenAI/LLM tools into DevOps workflows (where approved)
- Implement guardrails for responsible AI usage (data handling, access control, logging)
- Support observability of AI-enabled systems (latency, cost, quality signals)
- Apply best practices around security, governance, and compliance in AI usage
Core Skills
- Scripting: Python, Bash, Shell
- CI/CD: Jenkins, GitLab CI, Azure DevOps
- Containers: Docker, Kubernetes
- IaC: Terraform, Ansible
- Source Control: Git, Bitbucket
- DevSecOps, secrets management, and enterprise compliance
- Strong understanding of LLM concepts (prompting, embeddings, RAG, limitations)
- Experience integrating GenAI tools/APIs into engineering workflows
Nice to Have
- Experience supporting GenAI platforms in production (monitoring, cost control, evaluation)
Experience Required
- 5–10 years in DevOps / Engineering roles
- Experience in enterprise or regulated environments preferred
DevOps Engineer in Sheffield employer: Coltech
Contact Detail:
Coltech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. 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 portfolio showcasing your projects, especially those involving CI/CD pipelines, automation, and AI integrations. This will give potential employers a taste of what you can bring to the table.
✨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 previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace DevOps Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your DevOps expertise, especially with CI/CD pipelines and automation tools like Terraform and Ansible. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about DevOps and AI technologies. Share specific examples of your past work that align with the responsibilities listed in the job description. Let us know why you’re the perfect fit!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's automating infrastructure or integrating GenAI tools, we love seeing real-world applications of your skills. Include links to your GitHub or any other portfolio that showcases your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy to do!
How to prepare for a job interview at Coltech
✨Know Your Tech Stack
Make sure you’re well-versed in the specific tools mentioned in the job description, like Jenkins, GitLab CI, and Terraform. Brush up on your scripting skills in Python and Bash, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you’ve troubleshot build or deployment issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you resolved challenges effectively.
✨Understand AI Integration
Since this role has a focus on GenAI, be ready to talk about how you’ve integrated AI tools into DevOps workflows. Familiarise yourself with concepts like LLMs and responsible AI usage, as these will demonstrate your alignment with the company’s goals.
✨Collaboration is Key
Emphasise your experience working with cross-functional teams, such as Dev, QA, and Ops. Be prepared to share examples of how you’ve streamlined releases and improved collaboration, as teamwork is crucial in a DevOps environment.