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

ESR Healthcare; City Of London; On-site; GBP 120,000 - 150,000; Full time

Job summary

A leading tech consultancy in London is seeking a VP of Engineering to lead engineering teams and manage client relationships. The ideal candidate will have over 15 years of experience, including 5 years in a senior role. Responsibilities include providing technical leadership, ensuring project delivery, and mentoring team members. Strong expertise in cloud technologies and AI integration is essential for success in this role. This position offers a chance to work on cutting-edge projects involving modern architectures.

Qualifications

• 15+ years of experience in engineering, with the last 5 in a senior role.
• Proven experience managing engineering teams.
• Strong background in AI integration and cloud technologies.

Responsibilities

• Lead engineering teams in executing client projects for cloud, AI, and microservices.
• Provide hands-on leadership in system design and development.
• Manage and mentor engineering managers and developers.
• Ensure client projects meet deadlines, scope, and quality standards.

Skills

Technical Expertise in .NET, Python, or Node.js

Experience in cloud technologies (AWS, Azure)

AI integration knowledge, specifically LLM

Strong communication skills

Tools

React

AWS

Azure

Job description

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.