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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 cutting-edge technology.
- 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 AI and cloud solutions.
- Qualifications: 15+ years in engineering, with strong skills in .NET, Python, Node.js, and cloud technologies.
- Other info: Ideal for those passionate about mentoring and leading in a dynamic environment.
The predicted salary is between 72000 - 108000 £ per year.
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 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.
VP of Engineering - Cloud, AI, and Microservices. London, Unite 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, Unite
✨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. Building relationships can give you insights into the company culture and expectations.
✨Tip Number 2
Showcase your technical expertise by contributing to open-source projects or writing articles on platforms like Medium or LinkedIn. This not only demonstrates your knowledge but also positions you as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by familiarising yourself with the latest trends in cloud technologies and AI integrations. Be ready to discuss how you've successfully led engineering teams and managed client relationships in previous roles.
✨Tip Number 4
Research StudySmarter's projects and values thoroughly. Tailor your discussions during interviews to align with our mission and demonstrate how your experience can contribute to our goals in cloud and AI solutions.
We think you need these skills to ace VP of Engineering - Cloud, AI, and Microservices. London, Unite
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cloud technologies, AI integration, and microservices. Emphasise your leadership roles and client-facing experiences, as these are crucial for the VP position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and leadership. Discuss specific projects where you successfully led engineering teams or managed client relationships, particularly in cloud and AI contexts.
Highlight Technical Expertise: In your application, clearly outline your technical skills, especially in .NET, Python, and cloud platforms like AWS and Azure. Mention any experience with LLM technologies and advanced AI architectures to stand out.
Showcase Leadership Experience: Detail your experience managing teams and delivering projects. Use examples that demonstrate your ability to mentor others and foster a culture of excellence, which is essential for this role.
How to prepare for a job interview at esrhealthcare
✨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, be ready to share examples of how you've managed client relationships in the past. Discuss how you’ve navigated technical discussions with non-technical stakeholders and ensured their needs were met.
✨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. Think of challenges you've faced in project delivery or technical issues and how you resolved them, as this will showcase your ability to handle pressure and maintain client satisfaction.
