At a Glance
- Tasks: Shape the future of engineering education and embed AI in real-world practices.
- Company: Fast-scaling Technology & AI Institute revolutionising engineer training.
- Benefits: Competitive salary, hybrid work, 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 theory with practice.
- Qualifications: Strong software engineering background and experience in cloud environments.
The predicted salary is between 90000 - 120000 € 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.
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:- Strong software engineering background (Java, C#, or JavaScript/TypeScript) with experience building production systems in cloud environments.
- 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 & Engineering Director in London employer: Omnis Partners
At the Technology & AI Institute, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. Our commitment to employee growth is evident through our unique approach to training, where you will not only shape the future of engineering education but also remain deeply connected to real-world applications, ensuring your impact resonates beyond the classroom. With competitive salaries and a hybrid working model, we offer a rewarding environment for experienced engineers looking to mentor the next generation while staying at the forefront of modern engineering practices.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud & Engineering Director in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your engineering projects, especially those involving cloud technologies and AI. This is your chance to demonstrate your hands-on experience and how you can translate complex concepts into practical solutions.
✨Tip Number 3
Prepare for interviews by practising common questions related to cloud engineering and DevOps. Think about real-world scenarios where you've applied your skills. We want you to be ready to showcase your expertise and how you can bridge the gap between training and practice.
✨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 and engaged with our mission of shaping the next generation of engineers.
We think you need these skills to ace Cloud & Engineering Director in London
Some tips for your application 🫡
Show Off Your Engineering Skills:Make sure to highlight your strong software engineering background in your application. We want to see your experience with Java, C#, or JavaScript/TypeScript, and how you've built production systems in cloud environments. Don't hold back on showcasing your hands-on experience with AWS or Azure!
Connect the Dots Between Theory and Practice:In your written application, emphasise how you can translate complex engineering concepts into practical learning experiences. We’re looking for someone who can bridge the gap between training and real-world execution, so share examples of how you've done this in the past.
Mentorship Matters:We value candidates who are comfortable mentoring and guiding others. In your application, mention any experiences where you've helped engineers grow their skills or navigate challenges. This will show us that you’re not just about the tech, but also about developing talent.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team at the Technology & AI Institute.
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Inside Out
Make sure you brush up on your software engineering skills, especially in Java, C#, or JavaScript/TypeScript. Be ready to discuss your hands-on experience with cloud environments like AWS or Azure, and how you've built production systems. The interviewers will want to see that you can translate your technical knowledge into practical applications.
✨Showcase Your Mentoring Skills
Since this role involves guiding and mentoring engineers, be prepared to share examples of how you've helped others grow in their careers. Think about specific instances where you’ve translated complex concepts into clear, actionable learning for your peers or junior engineers.
✨Connect Learning with Real-World Application
Emphasise your understanding of how engineering is done in live environments. Discuss how you’ve stayed connected to production systems and how you’ve used feedback from real-world delivery to refine learning experiences. This shows that you’re not just a theorist but someone who understands the practicalities of modern engineering.
✨Be Ready to Talk AI Integration
With AI being a key part of this role, prepare to discuss your experience with AI-augmented development. Share insights on how you've implemented AI tools in your projects, whether it’s through automated testing or intelligent monitoring, and how these have improved engineering practices.
