VP of Engineering – Cloud, AI, and Microservices

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 HumanFeedback (RLHF).
• Lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, andperformant 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.