Vice President of Engineering (India)

Vice President of Engineering (India)

12 Oct
|
Ksolves India
|
India

12 Oct

Ksolves India

India

About the RoleWe are looking for a highly hands-on VP – Engineering with deep expertise in Data Engineering and Artificial Intelligence to lead our engineering organization. You will own the complete journey from understanding customer requirements to architecting, building, deploying, and successfully delivering data- and AI-driven products.
This is not a purely managerial role. We want a strong technology leader who sets strategy and builds high-performing teams, and who is equally capable of stepping into complex technical challenges whenever required.
What You Will Do• Own the end-to-end product engineering lifecycle: requirement discovery, architecture, development, testing, deployment, and production support
• Define and drive the data and AI technology roadmap, including platform architecture, data strategy, and ML/GenAI adoption
• Lead Engineering, Data Engineering, ML/AI, QA, DevOps, Product, and Customer teams toward high-quality, timely delivery
• Review code and architecture, debug complex issues, and resolve critical technical problems hands-on




• Work directly with customers to understand business needs, translate them into scalable data and AI solutions, and confidently recommend the right approach
• Establish engineering best practices across release management, data quality, observability, performance optimization, and production reliability
• Drive AI adoption across the software development lifecycle to boost productivity, accelerate delivery, improve code quality, and automate repetitive work

What We Are Looking ForCore Engineering
• Solid hands-on expertise in Java, Python, JavaScript, Microservices, REST APIs, server-side development, and system architecture
• Proven experience designing scalable, high-performance, production-grade product architectures

Data Engineering
• Deep experience building and scaling data platforms: batch and real-time pipelines, ETL/ELT, data lakes, lakehouses, and data warehouses
• Hands-on knowledge of tools such a

📌 Vice President of Engineering (India)
🏢 Ksolves India
📍 India

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