Head-Platform Engineer/Principal Engineer(backend architecture -Java/Python)

About us

We are a US Based Venture backed Digital Health Company . W e enable Health Care Providers (HCP) to capture true Virtual Care Opportunities beyond Telehealth. We enable HCP to provide Proactive and Continuous Care and add new Recurring monthly revenue streams without any upfront cost. With our unique distribution a nd business model, we are seeing fast acceptance and great adaptation with our target customers.

We have built unique and Industry’s first Integrated Hardware, Cloud & AI Technologies based Virtual care Platforms for HCP Market. We are a US - focused p ost revenue company with customers in 9 US States and growing fast. We provide an excellent opportunity to Innovate and work on cutting - edge product technologies in a very fast - moving dynamic and empowered environment.

Job brief

We are looking for an experienced Principal Engineer to design, develop, and scale our backend systems. You will lead backend architecture, build high-performance microservices and APIs using Java, Spring Boot, Python, FastAPI, Django and other frameworks and ensure system scalability, security, and reliability.

You will mentor developers, drive best practices, and collaborate with product, AI, and DevOps teams to deliver robust and scalable solutions.

Responsibilities

• Design, develop, and maintain scalable backend systems and microservices using Java, Spring Boot, Python, FastAPI, Django and other related framework.
• Lead backend architecture and technical design decisions to ensure scalability, performance, and reliability.
• Build and optimize RESTful APIs and distributed systems
• Mentor and guide backend developers, conduct code reviews, and enforce best practices
• Collaborate with product, frontend, AI, and DevOps teams to deliver end-to-end solutions
• Optimize database design, query performance, and caching strategies
• Implement security best practices, authentication, and authorization mechanisms
• Ensure high system performance, availability, and scalability
• Troubleshoot production issues and drive continuous improvement
• Contribute to technical planning, system design, and long-term architecture strategy

Technical Requirements

• Strong expertise in Java, Spring Boot, Python, Fast API, Django
• Extensive experience in building RESTful APIs and microservices architecture
• Strong experience with relational databases such as PostgreSQL, MySQL, including schema design and performance optimization
• Deep understanding of Object-Oriented Programming (OOP), design patterns, and clean architecture
• Experience with multithreading, concurrency, and performance tuning
• Experience with Spring Data JPA / Hibernate
• Experience with Redis or other caching technologies
• Experience with messaging systems such as Kafka, RabbitMQ, or AWS SQS
• Experience with AWS cloud services and deploying scalable applications
• Familiarity with Docker and containerization
• Strong understanding of system design, scalability, and distributed systems
• Experience with authentication and authorization (JWT, OAuth)
• Proficiency with Git and modern development workflows
• Experience integrating or working with AI-powered services or APIs is a plus

AI & Modern Engineering Expectations

At our organization, we leverage AI to enhance engineering productivity and product capabilities. The ideal candidate should

• Be familiar with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, or ChatGPT
• Have solid understanding of Generative AI and LLM concepts
• Be interested in integrating AI services and APIs
• Use AI tools to improve development efficiency and code quality
• Be eager to learn and adopt modern engineering practices

Qualifications

• BE / BTech / MS in Computer Science, Engineering, or related field
• 10-15 years of backend development experience
• Minimum 5 years of technical leadership experience

What We Offer

• Opportunity to work on cutting-edge AI-powered healthcare platforms
• Fast-growing startup environment with high ownership
• Work with modern cloud-native and microservices architecture
• Opportunity to learn and grow in AI-integrated systems
• Collaborative and innovation-driven engineering culture