Lead and mentor a high-performing full-stack engineering team while overseeing product development, task allocation, release management, and DevOps. Collaborate cross-functionally to deliver product enhancements, architect scalable cloud infrastructure, and support a growing multi-tenant user base. Guide product development involving computer vision and deep learning technologies, while contributing technical leadership, communication, vendor management, and strategic decision-making.
You will be responsible for building and leading a high-performing engineering team across the full technology stack. You will collaborate closely with cross-functional teams to define, develop, and deliver new product features and enhancements.
What you will do
- Manage, build and mentor a talented engineering team
- Oversee product development lifecycles, including task allocation, release management and DevOps
- Collaborate closely with cross-functional teams to define and deliver new products and enhancements
- Architect and scale the product infrastructure to support a growing user base
Requirements
- 15+ years of experience developing SaaS products in an enterprise software environment
- Proven track record of building and scaling complex web applications
- Experience architecting and leading the development of a product from the ground up and the engineering around it
- Gone through multiple release cycles and scaled the application across 1000's of users on a multi-tenanted system.
- In-depth understanding of full-stack development (front-end, middleware and database - SQL, .NET and JavaScript etc)
- Experience in web systems architecture, design, development, network and server management on cloud infrastructure (Azure)
- The ability to articulate and speak about technology in a forum
- Ability to pick up a new domain
- Outstanding communication, interpersonal and leadership skills
- Excellent organizational, time-management and problem-solving skills
- Effective negotiation and vendor management skills
- Experience with Computer vision libraries, Deep Learning models and the ability to guide product development using these technologies
- Experience in a product company / startup (preferred)
Karomi Technology Chennai, Tamil Nadu, IND Office
Chennai, India
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