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For Companies At a Glance
- Tasks: Lead engineering teams in cloud, AI, and microservices projects while ensuring client satisfaction.
- Company: Dynamic tech consultancy focused on innovative solutions and client success.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Fast-paced environment with a strong emphasis on mentorship and continuous learning.
- Why this job: Join a forward-thinking team and shape the future of technology with cutting-edge solutions.
- Qualifications: 15+ years in engineering, with expertise in cloud technologies and AI integration.
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.
Responsibilities
- Client-Facing Leadership: Lead engineering teams in executing client projects, ensuring high quality, timely delivery; act as the primary technical contact for clients, managing expectations and ensuring solutions align with business needs; guide clients through technical decisions and help 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.
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; experience on React for front-end development.
- Cloud & Architecture: Deep knowledge of cloud technologies (AWS, Azure) and experience deploying cloud-native applications and microservices architectures.
- AI Integration: Strong background in AI integration, specifically LLM technologies, RAG, and RLHF architectures, and the ability to apply these in client-facing solutions.
- System Design: 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; strong communication skills to translate 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 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with cloud, AI, or microservices. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to cloud technologies and AI integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and client management skills. Be ready to discuss how you've led teams and delivered successful projects, especially in fast-paced environments. We want to see your hands-on experience shine!
✨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 company.
We think you need these skills to ace VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the VP of Engineering role. Highlight your hands-on leadership in cloud, AI, and microservices, and don’t forget to mention any client-facing experience you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about engineering and how your background makes you the perfect fit for leading our teams. Be sure to mention specific projects or technologies that excite you.
Showcase Your Technical Expertise: We want to see your technical chops! Include details about your experience with .NET, Python, Node.js, and any cloud platforms like AWS or Azure. If you've worked with AI integrations, make sure to highlight those too!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter team!
How to prepare for a job interview at ESR Healthcare
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Azure, and AI integrations. Brush up on your knowledge of microservices and system design principles, as you’ll likely be asked to discuss these in detail.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing engineering teams and client relationships. Think about specific challenges you've faced and how you led your team to success, as this role requires strong leadership and communication skills.
✨Be Client-Focused
Since this position involves client-facing responsibilities, be ready to discuss how you’ve managed client expectations and delivered successful projects. Share stories that demonstrate your ability to translate complex technical concepts for non-technical stakeholders.
✨Prepare for Technical Questions
Expect in-depth technical questions related to system design, cloud technologies, and AI architectures. Practice articulating your thought process clearly, as interviewers will want to see how you approach problem-solving and decision-making in a hands-on capacity.