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For Companies At a Glance
- Tasks: Design and implement CI/CD pipelines while automating infrastructure provisioning.
- Company: Global IT services and consulting company working with a major bank.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Combine your passion for DevOps and AI in a dynamic enterprise environment.
- Qualifications: Experience in scripting, CI/CD tools, and understanding of GenAI concepts.
- Other info: Ideal for independent workers eager to innovate in tech.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a DevOps / AI Engineer with strong experience in modern DevOps practices and emerging GenAI-enabled engineering capabilities for our client (Global IT services and consulting company) and end client is a Bank. The ideal candidate will be responsible for delivering end-to-end software delivery lifecycle solutions while ensuring reliability, scalability, security, and compliance in enterprise environments.
Role Focus
- End-to-end software delivery lifecycle
- Infrastructure as Code (IaC), CI/CD, monitoring, and system reliability
- Strong understanding of enterprise environments, controls, and compliance requirements
- Ability to manage work and deliverables independently
- Ability to support GenAI-enabled engineering practices (e.g., AI-assisted development/operations) while adhering to enterprise governance, security, and risk controls
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines (e.g., Jenkins)
- Automate infrastructure provisioning and configuration (e.g., Ansible, Terraform)
- Ensure high availability, scalability, and security of systems
- Collaborate with developers, QA, and IT operations to streamline releases
- Troubleshoot deployment, build, and infrastructure issues
- Maintain configuration management tools (Ansible)
- Ensure compliance with enterprise controls and regulatory requirements
- Work independently to deliver on assigned tasks and projects
- Utilize Jira and Confluence for work tracking and documentation
- Enable and operationalise GenAI/LLM-based tooling in the DevOps toolchain (where approved), including secure access, environment configuration, and integration into CI/CD workflows
- Implement guardrails for GenAI usage (e.g., data handling, prompt/content logging where required, secrets protection, model/tool access controls) aligned to enterprise policies
- Support reliability and observability for GenAI-enabled services (e.g., monitoring latency, error rates, cost/usage, and drift/quality signals where applicable)
Core Skills
- Scripting/Programming: Bash, Python, Shell
- CI/CD Tools: Jenkins, GitLab CI, Azure DevOps
- Containerization: Docker, Kubernetes
- Infrastructure as Code: Ansible, Terraform
- Source Control: Git, Bitbucket
- Security & Compliance: Understanding of DevSecOps, secrets management, enterprise controls, and compliance
- Familiarity with Jira and Confluence
- GenAI/LLM Fundamentals: Understanding of LLM concepts (prompting, embeddings, RAG, model limitations), and how to apply them safely in engineering workflows
- GenAI Tooling & Integration: Experience using and integrating GenAI-assisted tools (e.g., code assistants, chat-based ops assistants) and/or APIs into developer/DevOps workflows
- Responsible AI & Data Handling: Awareness of privacy, IP, data classification, and secure usage patterns when working with GenAI tools in enterprise environments
Preferred
- Experience supporting GenAI platforms/services in production (e.g., model/API deployment patterns, prompt/version management, evaluation/monitoring, and cost controls)
Ideal for someone who enjoys working independently, thrives in enterprise environments, and is passionate about combining DevOps with cutting-edge AI capabilities.
DevOps / AI Engineer in Sheffield employer: KBC Technologies Group
Contact Detail:
KBC Technologies Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DevOps / AI Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving CI/CD, IaC, or GenAI. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common DevOps and AI-related questions. Practice explaining your past projects and how you tackled challenges, especially around compliance and security in enterprise environments.
✨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 proactive about their job search!
We think you need these skills to ace DevOps / AI 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 practices, GenAI knowledge, and any relevant projects you've worked on. We want to see how you fit into our world!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs. Be genuine and let your personality come through – we love that!
Showcase Your Projects: If you've worked on any cool projects related to CI/CD, Infrastructure as Code, or GenAI, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in enterprise environments.
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 KBC Technologies Group
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and technologies mentioned in the job description. Brush up on your knowledge of CI/CD pipelines, Infrastructure as Code, and any specific tools like Jenkins, Ansible, and Terraform. Being able to discuss your hands-on experience with these will show that you’re not just familiar but also capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to system reliability and compliance. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your ability to troubleshoot and resolve issues effectively.
✨Understand GenAI Integration
Since the role involves GenAI-enabled engineering practices, be ready to talk about how you’ve integrated AI tools into your workflows. Discuss any experience you have with responsible AI usage, data handling, and compliance. This shows you’re not only technically skilled but also aware of the ethical implications.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to DevOps and AI integration. Inquire about their current projects, team dynamics, or how they handle compliance in enterprise environments. This demonstrates your genuine interest in the role and helps you assess if it’s the right fit for you.