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
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead end-to-end utility engineering and capital project execution for a brownfield manufacturing expansion. Responsibilities include designing, procuring, installing, commissioning, and handing over utility systems; managing budgets, timelines, vendors, risks, quality, safety, and regulatory compliance; coordinating cross-functional stakeholders; and driving energy efficiency, sustainability, EMS, and BMS initiatives.
Top Skills:
3D ModelingAmmonia Chiller SystemsAutocadBmsBoilersCompressed Air SystemsElectrical SchematicsEmsGmp StandardsHvacMicrosoft Office SuiteMicrosoft ProjectP&IdsPfdsWastewater Treatment SystemsWater Treatment SystemsZld Plants
Database
Leads the Supabase Spark engineering team by developing people, managing hiring, owning roadmap delivery, coordinating cross-team requests, maintaining service objectives, and handling incidents. The role requires technical credibility in backend and database systems, experience managing remote engineering teams, strong performance management skills, and the ability to build high-trust, asynchronous, globally distributed teams.
Top Skills:
APIsLinearPostgresSlackSqlite
Artificial Intelligence • Semiconductor • Manufacturing
Lead QA Engineers, SDETs, and Qualification Engineers while defining quality strategy, test automation, and product qualification efforts. Drive functional, integration, system, regression, and end-to-end testing; build scalable automation frameworks; integrate testing into CI/CD; monitor quality metrics; improve defect prevention and release readiness; and advance AI-assisted testing. The role is approximately 60% hands-on technical work and 40% people management.
Top Skills:
Agile/ScrumAi/Genai TestingAzure DevopsCi/CdDockerJenkinsKubernetesPlaywrightSeleniumTestng
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.


