Head of Engineering

Role: Head of Engineering
Employment Type: Full-Time (FTE)
Location: Kandivali, Mumbai (Work from Office)
Experience: 15+ Years
Job Summary
We are looking for an experienced engineering leader to lead a multi-disciplinary engineering organization across software development, architecture, cloud, AI/ML, and product engineering. The ideal candidate will have a strong technical background in .NET and C++, along with proven experience managing Engineering Managers and driving enterprise-scale software development in customer-centric B2B environments.
Key Responsibilities
Lead and mentor Engineering Managers, Technical Project Managers, Architects, and cross-functional engineering teams.
Define and execute the engineering vision, technology roadmap, and software development strategy.
Architect and deliver enterprise-scale client-server applications for manufacturing and compliance-driven industries.
Drive platform engineering, framework development, and technology modernization initiatives.
Lead Agile delivery across multiple engineering teams and promote engineering excellence.
Oversee API development, enterprise integrations, DevSecOps, CI/CD pipelines, and secure coding practices.
Drive AI/ML and Data Analytics adoption in smart manufacturing solutions.
Collaborate with Product, QA, Operations, and Compliance teams to deliver business-critical solutions.
Build and develop future engineering leaders through mentoring and coaching.
Required Skills
15+ years of software development experience.
5–7+ years in senior engineering leadership managing Engineering Managers and multiple engineering teams.
Strong expertise in .NET (C#, WCF, WPF) and C++.
Experience building enterprise-grade client-server software products.
Strong software architecture, distributed systems, multithreading, memory management, and API-first design.
Hands-on experience with SQL Server, PostgreSQL, MongoDB, or Cosmos DB.
Experience leading Agile software development at scale.
Good exposure to Azure Cloud, DevSecOps, CI/CD, and engineering governance.
Exposure to AI/ML and Data Analytics.
Excellent communication, stakeholder management, and leadership skills.
Preferred Skills
Docker and Kubernetes.
Azure Microservices.
Industrial Automation or Manufacturing Software.
IoT and hardware/device integration (Cameras, Barcode Scanners, PLCs, Industrial Printers).
High Availability enterprise systems.
Pharma, Medical Device, or other regulated industry experience.
Experience leading innovation programs, Proof of Concepts (PoCs), or R&D initiatives.

Work arrangement
No