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- Tasks: Lead engineering teams in cloud, AI, and microservices projects while ensuring client satisfaction.
- Company: Join a forward-thinking tech consultancy focused on innovative solutions and modern architectures.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of technology, shaping client solutions and mentoring future leaders.
- Qualifications: 15+ years in engineering, with expertise in .NET, Python, Node.js, and cloud technologies.
- Other info: This role is perfect for those passionate about AI and modern software development.
The predicted salary is between 72000 - 108000 £ per year.
Before applying for this role, please read the following information about this opportunity found below. 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 for a tech consultancy or a product development company.
Key Responsibilities:
- Client-Facing Leadership: Lead engineering teams in executing client projects, ensuring high quality, 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 with experience on 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.
VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom (London) employer: ESR Healthcare
Contact Detail:
ESR Healthcare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom (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 clients. This can help you gain insights into the role and make valuable connections that could support your application.
✨Tip Number 2
Showcase your technical expertise by contributing to open-source projects or writing articles on platforms like Medium or LinkedIn. This demonstrates your hands-on experience and thought leadership in cloud technologies, AI, and microservices, making you a more attractive candidate.
✨Tip Number 3
Prepare for interviews by familiarising yourself with common challenges faced in client engagements within the tech consultancy space. Be ready to discuss how you've successfully navigated similar situations in the past, highlighting your problem-solving skills and client management experience.
✨Tip Number 4
Research StudySmarter's current projects and technologies. Understanding our approach and values will allow you to tailor your discussions during interviews, showing that you're genuinely interested in contributing to our mission and culture.
We think you need these skills to ace VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive experience in engineering roles, particularly in cloud technologies, AI, and Microservices. Emphasise your leadership skills and client engagement experience, as these are crucial for the VP role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and leadership. Discuss specific projects where you led engineering teams or managed client relationships, and how your technical expertise aligns with the company's needs.
Highlight Relevant Skills: In your application, clearly outline your technical skills, especially in .NET, Python, Node.js, and cloud platforms like AWS and Azure. Mention your experience with AI integrations and any relevant architectures you've worked with.
Prepare for Technical Questions: Anticipate technical questions related to system design, cloud-native applications, and AI technologies during the interview process. Be ready to discuss your hands-on experience and how you've applied your knowledge in real-world scenarios.
How to prepare for a job interview at ESR Healthcare
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with cloud technologies, AI integrations, and microservices. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead engineering teams effectively.
✨Demonstrate Client Engagement Skills
Since the role involves significant client interaction, share examples of how you've managed client relationships in the past. Discuss how you’ve navigated technical discussions with non-technical stakeholders to ensure alignment on project goals.
✨Emphasise Leadership Experience
Talk about your experience managing engineering teams and mentoring staff. Provide examples of how you've fostered a culture of excellence and continuous learning within your teams, as this is crucial for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Be ready to discuss how you would handle project delivery challenges or technical issues, showcasing your ability to think critically and act decisively under pressure.
