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- Tasks: Lead engineering teams in cloud, AI, and Microservices projects while ensuring client satisfaction.
- Company: Join a dynamic 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 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 based in London, offering a vibrant work culture and impactful projects.
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 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.
- 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 (Basé à London) employer: Golden Bees
Contact Detail:
Golden Bees Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom (Basé à London)
✨Tip Number 1
Network with professionals in the cloud and AI sectors. Attend industry events, webinars, or meetups in London to connect with potential colleagues and clients. Building relationships can give you insights into the company culture and expectations.
✨Tip Number 2
Showcase your hands-on experience with cloud technologies and AI integrations during informal discussions or networking events. Be prepared to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise.
✨Tip Number 3
Familiarise yourself with the latest trends in microservices and AI architectures. Being able to speak knowledgeably about advancements like Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF) will set you apart from other candidates.
✨Tip Number 4
Prepare for client-facing scenarios by practising how to communicate complex technical concepts in simple terms. Role-playing these interactions with a friend or mentor can help you refine your approach and boost your confidence.
We think you need these skills to ace VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom (Basé à 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. Use specific examples that demonstrate your leadership skills and technical expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for technology and leadership. Mention your experience with client-facing roles and how you've successfully managed engineering teams and projects in the past.
Highlight Relevant Projects: In your application, include details about specific projects where you led the development of cloud-based systems or AI integrations. This will help illustrate your hands-on experience and technical capabilities.
Prepare for Technical Questions: Anticipate technical questions related to system design, cloud platforms, and AI technologies during the interview process. Be ready to discuss your approach to problem-solving and project delivery in detail.
How to prepare for a job interview at Golden Bees
✨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 to ensure alignment on project goals.
✨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 VP role.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and ability to handle project delivery challenges. Think of specific instances where you've resolved technical issues or met tight deadlines, and be ready to explain your thought process.
