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Director of Software Engineering
Medical Enterprise | Dental Healthcare | Greater Bengaluru Area | Hybrid
About the Client
Our client is a high-growth medical enterprise serving major US clients across the dental and broader
healthcare ecosystem. The company operates a vertically integrated, subscription-led procurement and
supply-chain platform spanning dental, veterinary, lab, and adjacent medical categories. The business is
revenue positive and is scaling into a broader healthcare enterprise platform.
The Role
This is a hands-on engineering leadership role for a Founding Engineer / VP Engineering-type profile.
You will lead a 10–15 member engineering team while owning system design, software architecture,
delivery execution, and people leadership. Architecture and execution are the primary evaluation areas;
this is not a management-only role.
Key Responsibilities
● Lead a 10–15 member engineering team, with responsibility for hiring, coaching, performance, team
development, and delivery.
● Own system design and software architecture for scalable, data-heavy, distributed and cloud-native
platforms; lead architecture reviews and key technical decisions.
● Stay hands-on enough to challenge designs, review critical technical decisions, guide implementation,
and unblock engineering teams while driving predictable execution.
● Scale the engineering platform and organization sustainably—improving reliability, observability, code
quality, testing, CI/CD, release processes, and technical debt.
● Drive AI transformation across the SDLC using Applied AI for code generation, testing, developer
productivity, workflow automation, evaluation, and engineering-process improvement.
● Evaluate new technologies and establish pragmatic engineering standards, development
methodologies, and best practices as the company scales.
● Partner closely with Product, Data, and Operations to evolve the business from a scale-up into a
broader medical/dental enterprise ecosystem.
What We're Looking For
● 12–15+ years of software engineering experience preferred; 10+ years is the bare minimum for
exceptional candidates with strong architecture and leadership depth.
● Strong product-company background, ideally in data-heavy Series A, B, or C startups or bootstrapped
scale-ups; Founding Engineer, early engineering leader, or VP Engineering-type experience is highly
relevant.
● Deep expertise in SYSTEM DESIGN and SOFTWARE ARCHITECTURE, combined with people
management and hands-on technical leadership—not a management-only profile.
● Proven experience scaling an engineering team from single digits to at least 10–15 people;
experience building or leading a 30+ person engineering organization is strongly preferred.
● Track record of scaling products through significant revenue growth; ideally part of a profitable $10M
→ $100M ARR journey with sustainable engineering practices.
● Strong backend/architecture experience with Python, Node.js, and/or Go, plus Kafka, RabbitMQ,
Terraform, and modern cloud-Strong fundamentals in distributed systems, event-driven architecture,
data design, service boundaries, scalability, reliability, and observability.
● Practical Applied AI experience, especially AI-led SDLC transformation across code generation,
testing, automation, developer workflows, evaluation/observability, and production reliability. Model
fine-tuning is a plus.
● Strong delivery execution, stakeholder management, agile development practices, communication,
and ability to build high-performing teams in fast-growth environments.
● Bachelor's or Master's degree in Computer Science, Engineering, a related technical field, or
equivalent practical experience.
Nice to Have
● Domain exposure to dental, healthcare, medical supply chain, procurement, veterinary, lab platforms,
marketplaces, or other data-heavy enterprise products.
● Experience serving major US customers and scaling a lean startup/scale-up into a mature enterprise
platform ecosystem.
Job ID: 153518481
Skills:
Cloud Computing, Microservices, Agile Methodologies, Software Architecture, DevOps Practices, Team Leadership, CI/CD Pipelines
Skills:
, AWS, Scalability, Microservices, Apis, Saas, Observability, Site Reliability Engineering
Skills:
Accessibility, Apis, Application Development, Automated Testing, Performance, Software Engineering, SEO, Generative AI, Reliability, cloud platforms, modern web engineering, Analytics, Security, observability, Product Engineering
Skills:
Ml, Java, Spring Boot, Kafka, J2EE, Sql, React, Restful Apis, Kubernetes, Generative AI, NoSQL databases, Ai, Agentic AI
Skills:
Saas, test automation, Agile, Software Engineering, Scrum, organizational design, cloud architectures, AI-assisted development, system performance reliability