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- Tasks: Lead engineering teams in delivering innovative cloud, AI, and microservices projects.
- Company: Join a cutting-edge tech consultancy focused on modern architectures and client success.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of technology, shaping solutions that impact clients and industries.
- 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 leading teams and driving technical excellence.
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, 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 Model) integration, leveraging models like GPT, and implement advanced AI architectures such as Retrieval-Augmented (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 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) employer: Bounty Hunter World
Contact Detail:
Bounty Hunter World Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Engineering - Cloud, AI, and Microservices. (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 latest trends and possibly get referrals.
✨Tip Number 2
Showcase your hands-on experience with relevant technologies like .NET, Python, and cloud platforms in conversations. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead engineering teams effectively.
✨Tip Number 3
Prepare to articulate your leadership style and how you manage client relationships. Think of examples where you've successfully navigated technical challenges while maintaining client satisfaction, as this is crucial for the VP role.
✨Tip Number 4
Familiarise yourself with the latest advancements in AI integration, particularly LLM technologies and architectures like RAG and RLHF. Being able to discuss these topics confidently will set you apart as a candidate who is not only experienced but also forward-thinking.
We think you need these skills to ace VP of Engineering - Cloud, AI, and Microservices. (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 expertise in cloud technologies, AI integrations, and microservices, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, address how your leadership style aligns with the company's needs. Mention specific projects where you've successfully led engineering teams and managed client relationships, showcasing your hands-on approach.
Highlight Technical Skills: Clearly outline your technical skills relevant to the job description, such as .NET, Python, Node.js, and cloud platforms like AWS and Azure. Provide examples of how you've applied these skills in previous roles, particularly in client-facing situations.
Showcase Leadership Experience: Detail your experience in managing and mentoring engineering teams. Include examples of how you've fostered a culture of excellence and continuous learning, as well as how you've handled project delivery and client satisfaction.
How to prepare for a job interview at Bounty Hunter World
✨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 and mentoring engineering teams. 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.
