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- Tasks: Lead engineering teams in cloud, AI, and microservices projects while ensuring quality delivery.
- Company: Join a forward-thinking tech consultancy focused on innovative solutions and client success.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of technology, shaping the future with cutting-edge AI and cloud solutions.
- Qualifications: 15+ years in engineering, with 5+ years in a senior role; expertise in cloud and AI technologies required.
- Other info: Ideal for those passionate about mentoring and leading teams in a dynamic environment.
The predicted salary is between 72000 - 108000 £ per year.
VP of Engineering – Cloud, AI, and Microservices. London, United Kingdom
Description
We are seeking a hands-on Director/VP of Engineering to lead our engineering teams, manage client relationships, and ensure successful project delivery with a focus on cloud, AI, and microservices. Reporting to the SVP of Engineering, the ideal candidate would have 15+ years of experience, with the last 5 years in a senior engineering role within a tech consultancy or a product development company.
Key Responsibilities:
- Client-Facing Leadership:
- Lead engineering teams in executing client projects, ensuring high quality and timely delivery.
- Act as the primary technical point of contact for clients, managing expectations and ensuring solutions align with business needs.
- Guide clients through technical decisions, helping them adopt modern architectures, cloud platforms (AWS, Azure), and AI-driven solutions.
- Technical Leadership:
- Provide hands-on leadership in system design, development, and deployment, particularly with cloud-based systems, microservices, and AI integrations.
- Oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AI architectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF).
- Lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, and performant solutions.
- Team Management:
- Manage and mentor engineering managers, leads, and developers, fostering a culture of excellence and continuous learning.
- Ensure the team adheres to best practices in coding, architecture, testing, and deployment.
- Project Delivery & Client Satisfaction:
- Ensure client projects meet deadlines, scope, and quality standards while managing resources effectively.
- Resolve technical challenges and proactively address issues that may impact delivery.
- Maintain strong client relationships through regular communication and feedback loops.
Required Skills & Qualifications:
- Technical Expertise:
- Extensive experience in .NET (C#), Python (Django, Flask), or Node.js (Express.js), with hands-on experience building backend systems and APIs, and experience with React for front-end development.
- Deep knowledge of cloud technologies (AWS, Azure) and experience deploying cloud-native applications and microservices architectures.
- Strong background in AI integration, specifically LLM technologies, RAG, and RLHF architectures, and the ability to apply these in client-facing solutions.
- Solid understanding of system design principles, including scalability, high availability, performance, and security.
- Leadership & Client Engagement:
- Proven experience managing engineering teams and leading client engagements, balancing technical leadership with client-facing responsibilities.
- Strong communication skills, capable of translating complex technical concepts for non-technical stakeholders.
- Ability to prioritize and manage multiple projects in a fast-paced, client-driven environment.
Minimum Requirements:
- Location: London, United Kingdom
- Relevant education and certifications
- Experience in managing engineering teams and client projects in relevant technologies
Note: Please only apply if you meet the above requirements, education, experience, and certifications.
* Free services are subject to limitations
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VP of Engineering - Cloud, AI, and Microservices. London, United (London) employer: esrhealthcare
Contact Detail:
esrhealthcare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Engineering - Cloud, AI, and Microservices. London, United (London)
✨Tip Number 1
Network with professionals in the cloud, AI, and microservices sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us are looking for in a VP of Engineering.
✨Tip Number 2
Showcase your hands-on experience with cloud platforms and AI technologies during networking conversations. Be prepared to discuss specific projects where you've successfully implemented these solutions, as this will demonstrate your capability to lead engineering teams effectively.
✨Tip Number 3
Familiarise yourself with our company culture and values by researching our website and social media channels. Understanding what we stand for will help you tailor your approach when discussing how you can contribute to our team and align with our goals.
✨Tip Number 4
Prepare to discuss your leadership style and how you mentor engineering teams. We value a culture of excellence and continuous learning, so be ready to share examples of how you've fostered growth and innovation within your previous teams.
We think you need these skills to ace VP of Engineering - Cloud, AI, and Microservices. London, United (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 15+ years of experience, especially the last 5 years in a senior engineering role. Emphasise your hands-on leadership in cloud technologies, AI integrations, and microservices.
Craft a Compelling Cover Letter: In your cover letter, discuss your experience with client relationships and project delivery. Mention specific examples of how you've guided clients through technical decisions and adopted modern architectures.
Showcase Technical Expertise: Detail your proficiency in relevant technologies such as .NET, Python, Node.js, and cloud platforms like AWS and Azure. Highlight any experience with LLM integration and advanced AI architectures to demonstrate your fit for the role.
Highlight Leadership Skills: Illustrate your experience in managing and mentoring engineering teams. Provide examples of how you've fostered a culture of excellence and continuous learning within your teams.
How to prepare for a job interview at esrhealthcare
✨Showcase Your Technical Expertise
As a VP of Engineering, you'll need to demonstrate your deep understanding of cloud technologies, AI integration, and microservices. Be prepared to discuss specific projects where you've successfully implemented these technologies, and how they benefited the client.
✨Highlight Leadership Experience
This role requires strong leadership skills. Share examples of how you've managed engineering teams, mentored staff, and fostered a culture of excellence. Discuss your approach to balancing technical leadership with client-facing responsibilities.
✨Prepare for Client Engagement Scenarios
Since you'll be guiding clients through technical decisions, think of scenarios where you've had to explain complex concepts in an accessible way. Prepare to discuss how you ensure client satisfaction while managing project delivery.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical challenges related to system design, scalability, or project management during the interview. Show how you approach problem-solving and decision-making, especially in fast-paced environments.
