VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom

Overview

VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom

Description

Description: 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.

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