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- Tasks: Design and implement CI/CD pipelines while automating infrastructure provisioning.
- Company: Join a 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: Be at the forefront of AI and DevOps, making a real impact in tech.
- Qualifications: Experience in DevOps practices, scripting, and familiarity with CI/CD tools.
- Other info: Dynamic role with a focus on innovation and career advancement.
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
DevOps / AI Engineer 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 or GenAI tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨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. 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 a leg up in the process. Let’s get you that dream job!
We think you need these skills to ace DevOps / AI Engineer
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, IaC, and any GenAI practices you've worked with. We want to see how you fit into our DevOps/AI Engineer role!
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 aligns with our needs. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links to your GitHub or any other platforms where we can see your work. Demonstrating your hands-on experience with tools like Jenkins, Ansible, and Terraform will definitely catch our eye.
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’s super easy – just follow the prompts and submit your materials!
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, like Jenkins, Ansible, and Terraform. Brush up on your scripting skills in Bash and Python, 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 how you tackled those issues.
✨Understand Compliance and Security
Since the role involves working in enterprise environments, it’s crucial to demonstrate your understanding of compliance requirements and security best practices. Familiarise yourself with relevant regulations and be ready to discuss how you’ve ensured compliance in past projects.
✨Engage with GenAI Concepts
Given the focus on GenAI-enabled engineering practices, show your enthusiasm for AI and how it can enhance DevOps processes. Be ready to discuss any experience you have with AI-assisted development or operations, and think about how you would implement guardrails for GenAI usage.