At a Glance
- Tasks: Shape the future of engineering education with a focus on practical skills and AI integration.
- Company: Fast-scaling Technology & AI Institute revolutionising engineer training.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous feedback and real-world application.
- Why this job: Make a real impact by mentoring engineers and bridging training with real-world practice.
- Qualifications: Deep cloud experience, DevOps knowledge, and a passion for mentoring.
The predicted salary is between 80000 - 100000 £ per year.
We are partnered with a fast-scaling Technology & AI Institute reimagining how modern engineers are trained, deployed, and continuously developed across cloud, software engineering, and DevOps disciplines. This is not a traditional instructor role. You’ll start by shaping how the next generation of engineers learn their craft, focusing on how real-world systems are designed, built, and operated in modern organisations. The emphasis is on practical engineering capability: understanding how software is delivered into production, how teams collaborate, and how modern engineering organisations actually function at scale.
Alongside this, you’ll be embedding AI into the way engineers work from day one, from AI-assisted development and automated testing through to intelligent monitoring and AI-supported operations. The goal is to ensure graduates are not just technically competent, but fluent in how modern engineering is increasingly AI-augmented in practice. Then the role evolves. As engineers move into client environments, you remain closely connected, refining the learning experience based on what succeeds and what breaks in real-world delivery. You act as the bridge between training and practice, ensuring that capability development stays aligned with the realities of production environments.
This is not about stepping away from engineering. It is about staying close to how engineering is actually done, while scaling your impact through the people you develop. The people who tend to thrive in this role are experienced engineers who have worked in modern software delivery environments, understand how teams build and ship products in practice, and naturally gravitate towards mentoring and enabling others. They are less focused on theory and more interested in what actually works in real delivery contexts.
You don’t need to come from a formal teaching background. You do need the ability to translate complex engineering experience into clear, structured learning that engineers can apply immediately. What makes this different is the dual focus: you are both shaping how engineers are developed and staying connected to how they perform in live environments, ensuring continuous feedback between learning and real-world execution. If you’re at a point where you enjoy developing others and shaping engineering capability, but don’t want to move away from modern engineering practice altogether, this offers a way to do both and to have a wider impact than either alone.
Skills & Experience Required
- Deep experience with AWS or Azure and core cloud services (compute, networking, storage, IAM).
- Hands‑on experience with CI/CD, infrastructure as code, and containerised architectures (Docker, Kubernetes, Terraform).
- Strong understanding of DevOps practices including observability, automation, security, and modern release workflows.
- Comfortable mentoring, teaching, or guiding engineers, with exposure to AI‑augmented development and modern cloud tooling.
Cloud & AI Engineering Leader employer: Omnis Partners
Join a pioneering Technology & AI Institute that is redefining the training of modern engineers in a dynamic and collaborative environment. With a strong emphasis on practical engineering skills and AI integration, we offer a unique opportunity for professional growth and mentorship, allowing you to shape the future of engineering while remaining deeply connected to real-world applications. Our culture fosters innovation and continuous development, making it an ideal place for those passionate about empowering the next generation of engineers.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud & AI Engineering Leader
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and AI space. Attend meetups, webinars, or industry events where you can chat with potential employers or colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your engineering projects, especially those involving cloud services and AI. This is your chance to demonstrate your hands-on experience and how you’ve tackled real-world challenges.
✨Tip Number 3
Prepare for interviews by practising common questions related to cloud and AI engineering. Think about how you can share your experiences in mentoring and guiding others, as this role values those skills highly. Be ready to discuss how you’ve applied your knowledge in practical settings.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to shape the future of engineering education. Your unique blend of experience and mentoring skills could be just what we need!
We think you need these skills to ace Cloud & AI Engineering Leader
Some tips for your application 🫡
Show Your Passion for Engineering:When writing your application, let your enthusiasm for engineering shine through! We want to see how you connect with the practical aspects of modern software delivery and how you can inspire the next generation of engineers.
Tailor Your Experience:Make sure to highlight your hands-on experience with AWS or Azure, CI/CD, and DevOps practices. We’re looking for real-world examples that demonstrate your skills and how they align with the role. Don’t just list your experiences; tell us how they’ve shaped your approach to engineering!
Be Clear and Structured:We appreciate clarity in applications. Use a structured format to present your thoughts and experiences. This not only makes it easier for us to read but also reflects your ability to translate complex ideas into understandable concepts—something we value highly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen on joining our community at StudySmarter!
How to prepare for a job interview at Omnis Partners
✨Know Your Cloud Stuff
Make sure you brush up on your AWS or Azure knowledge. Be ready to discuss core cloud services like compute, networking, and storage. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to real-world applications.
✨Showcase Your DevOps Experience
Prepare to share specific examples of your hands-on experience with CI/CD, infrastructure as code, and containerised architectures. Think about how you’ve implemented these practices in past roles and be ready to explain the impact they had on project delivery.
✨Emphasise Mentoring Skills
Since this role involves guiding engineers, think of instances where you’ve successfully mentored or taught others. Be prepared to discuss your approach to translating complex engineering concepts into practical learning experiences.
✨Connect Learning to Real-World Practice
They’re looking for someone who can bridge the gap between training and actual engineering work. Prepare to discuss how you would gather feedback from engineers in live environments and adapt learning experiences accordingly. Show them you understand the importance of continuous improvement!
