VP of Engineering - Cloud, AI, and Microservices; Location: London, United Kingdom; Hybrid; Full-time; Salary: $125K - $150K per annum; Industry: Engineering; Computer Software

Top high paying job in IT Engineeering Industry in London 2025

Job title: VP of Engineering - Cloud, AI, andMicroservices.

  • Location: London, United Kingdom; Hybrid; Full-time
  • Salary: $125K - $150K per annum
  • Industry: Engineering; Computer Software

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.

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.

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-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.

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