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- Tasks: Design and implement CI/CD pipelines while automating infrastructure provisioning.
- Company: Global IT services provider with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI in DevOps.
- Qualifications: Strong skills in DevOps practices, Jira, and GenAI fundamentals.
- Other info: Ideal for independent workers passionate about AI in enterprise environments.
The predicted salary is between 50000 - 60000 £ per year.
A global IT services provider is seeking a DevOps / AI Engineer to deliver end-to-end software delivery lifecycle solutions. The ideal candidate will design and implement CI/CD pipelines, automate infrastructure provisioning, and ensure compliance with regulatory requirements.
Strong skills in DevOps practices, Jira, and GenAI fundamentals are required. This role is suited for someone who enjoys working independently in enterprise environments and is passionate about AI capabilities.
GenAI-Driven DevOps 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 GenAI-Driven DevOps Engineer in Sheffield
✨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 CI/CD pipelines and automation projects. This is your chance to demonstrate your DevOps expertise and passion for AI capabilities in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of DevOps practices and GenAI fundamentals. Practice common interview questions and think about how your experience aligns with the role's requirements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI-Driven DevOps Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with CI/CD pipelines and DevOps practices. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any projects involving automation or infrastructure provisioning, make sure to mention them. We love seeing real-world applications of your skills, especially 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 from our team!
How to prepare for a job interview at KBC Technologies Group
✨Know Your CI/CD Inside Out
Make sure you can discuss your experience with CI/CD pipelines in detail. Be ready to explain how you've designed and implemented them in past projects, and be prepared to share specific examples of challenges you faced and how you overcame them.
✨Brush Up on DevOps Practices
Familiarise yourself with the latest DevOps practices and tools. Be ready to talk about how you've automated infrastructure provisioning and ensured compliance in previous roles. Showing that you’re up-to-date will impress the interviewers.
✨Get Comfortable with Jira
Since strong skills in Jira are required, make sure you can demonstrate your proficiency. Be prepared to discuss how you've used Jira for project management, tracking issues, and collaborating with teams effectively.
✨Show Your Passion for AI
This role is all about GenAI capabilities, so express your enthusiasm for AI technologies. Share any relevant projects or experiences where you've integrated AI into your work, and discuss how you see AI evolving in the DevOps space.