DevOps Engineer

DevOps Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a leading enterprise to design and implement CI/CD pipelines and automate infrastructure.
  • Company: Dynamic global enterprise with a focus on innovation and technology.
  • Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on cutting-edge technologies and career advancement.
  • Why this job: Be at the forefront of AI and DevOps, making a real impact in a secure environment.
  • Qualifications: 5-10 years in DevOps roles with experience in enterprise settings preferred.

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 employer: Coltech

Coltech is an excellent employer for those looking to thrive in the dynamic tech staffing industry. With a strong focus on employee growth, you will have the opportunity to mentor junior consultants while expanding your own skills in a collaborative and supportive work culture. Located in London, you'll benefit from a vibrant city atmosphere that fosters innovation and networking, making it an ideal place for meaningful and rewarding employment.

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Contact Details:

Coltech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DevOps Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in 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. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that dream job together!

We think you need these skills to ace DevOps Engineer

CI/CD Pipelines
Jenkins
GitLab CI
Azure DevOps
Terraform
Ansible
Docker

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with CI/CD, automation, and any AI technologies you've worked with. We want to see how you fit into our DevOps world!

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, and how your background makes you a great fit for our team. Keep it engaging and personal – we love a bit of personality!

Showcase Relevant Projects:If you've worked on projects involving Terraform, Ansible, or any GenAI tools, make sure to mention them. We’re keen to see real examples of your work and how you've tackled challenges in a regulated environment.

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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Coltech

✨Know Your Tech Stack

Make sure you’re well-versed in the 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

Be prepared to discuss specific challenges you've faced in previous roles, especially around CI/CD pipelines or infrastructure automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.

✨Understand AI Integration

Since this role has a focus on GenAI, make sure you can talk about how you've integrated AI tools into DevOps workflows. Familiarise yourself with concepts like LLMs and be ready to discuss best practices for responsible AI usage.

✨Ask Insightful Questions

Prepare thoughtful questions about the company’s approach to DevOps and AI. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially regarding compliance and security.