Role: Technical Lead – Engineering
Function: Engineering / Software Development
Location: Kolkata, India
Type: Full-time
Industry: AI, Medical SaaS, Dental Technology
About Company
The company builds medical AI SaaS for the U.S. dental market.
Its all-in-one platform unifies analytics, scheduling, communications, payments, and marketing automation. AI-powered automation handles busywork like reminders and digital intake.
Teams get real-time visibility into revenue drivers and patient retention. The company is mission-driven and execution-oriented, with 88 people and a fast-growing footprint in a largely under-digitized healthcare vertical.
Position Overview
This role owns the technical direction of the company's core SaaS platform — driving architecture decisions, engineering standards, and platform scalability across multiple product areas. The ideal candidate combines deep distributed systems expertise with hands-on execution, operating as the technical authority on business-critical services while mentoring engineers and influencing technology choices across teams. This is not a people-manager role; influence comes from technical depth and engineering judgment.
Role & Responsibilities
- Design and evolve highly scalable, multi-tenant SaaS architecture — defining standards for distributed systems, API design, data modeling, and cloud-native deployment across teams
- Lead architecture reviews and technical design discussions for new features, platform services, and modernization initiatives; identify and resolve technical risks early
- Contribute hands-on to implementation of critical backend services, APIs, and platform components — reviewing complex code paths and owning resolution of high-severity production issues
- Architect and optimize AWS-based infrastructure including containerized workloads (ECS/EKS), serverless functions, CI/CD pipelines, and observability tooling (monitoring, alerting, distributed tracing)
- Drive engineering excellence across teams — raising the bar on code quality, test coverage, system reliability, and operational readiness through standards, tooling, and direct mentorship
- Evaluate and adopt AI-assisted development practices to improve engineering productivity and software quality, while maintaining strong security and code standards
- Partner with DevOps and product engineering teams to continuously improve deployment reliability, platform stability, and developer experience
Must Have Criteria
- 10–15 years of software engineering experience building and scaling enterprise-grade SaaS products
- Proven track record architecting distributed systems and cloud-native applications at scale — solving real scalability, performance, and reliability challenges in production
- Deep backend expertise in Python and Django/Django REST Framework, with strong REST API and microservices design skills
- Hands-on AWS experience across ECS/EKS, Lambda, API Gateway, RDS, S3, CloudWatch, and IAM
- Strong data layer expertise: PostgreSQL query optimization, Redis caching strategies, Elasticsearch/OpenSearch, and data modeling for high-throughput workloads
- Proficiency with containerization and orchestration (Docker, Kubernetes) and CI/CD pipeline design and maintenance
- Demonstrated ability to lead technical direction across multiple engineering teams — influencing architecture and standards without direct reporting authority
Nice to Have
- Experience building or scaling multi-tenant SaaS platforms handling large transactional and analytical workloads
- Exposure to healthcare technology, health data standards, or data-intensive regulated applications
- Frontend architecture experience with React.js and TypeScript at scale
- Experience with Node.js in a microservices or event-driven context
- Hands-on experience with Infrastructure as Code and platform-level observability (distributed tracing, performance engineering)
What We Offer
- End-to-end technical ownership of a platform used by thousands of dental practices across North America — with clear, measurable impact on revenue and patient care
- High-autonomy role with direct influence over architecture and engineering culture at a fast-scaling AI SaaS company
- Tight, cross-functional team with a bias toward execution and minimal bureaucracy
- Flexible scheduling and support for continuous learning and professional growth
- Opportunity to build in a large, under-digitized healthcare vertical at an early stage of platform maturity
