• 7+ years of experience building web applications from scratch, owning the journey from idea → architecture → implementation → deployment → scale.
• Strong experience in designing and architecting scalable, resilient, production-grade systems, with a clear understanding of performance, reliability, and fault tolerance.
• Extensive, hands-on experience in Python and JavaScript (primary languages).
• Experience with Node.js is required.
• Experience with TypeScript and React.js is highly valued.
• Strong understanding of RESTful API design, API versioning, authentication/authorization, and best practices for building scalable backend services.
• Deep experience with Microservices architecture, including service decomposition, inter-service communication, observability, and failure handling.
• Strong database expertise with hands-on experience in: Relational databases: PostgreSQL, MySQL, NoSQL databases: MongoDB
• Experience in schema design, query optimization, indexing, and data modeling for scale.
• Sound exposure to Python and/or JavaScript-based backend frameworks such as Django, Flask, or similar.
• Strong experience with containerization and orchestration, including: Docker, Kubernetes (deployment, scaling, configuration, troubleshooting)
• Hands-on experience working with event-driven and distributed systems, including: Kafka, ActiveMQ, and/or Redis
• Experience working with at least one major public cloud platform: AWS, Azure, or GCP
• Experience deploying, scaling, and managing cloud-native applications.
• Experience building end-to-end systems from an architectural point of view — making design decisions, evaluating trade-offs, and executing with minimal supervision.
• Experience in integrating, deploying, and operationalizing Machine Learning / Deep Learning models into real-world production systems.
• Solid understanding of Data Structures & Algorithms (DSA) and ability to apply them to solve real-world engineering problems.
• Familiarity with Agile / Rapid development processes and working in fast-paced, evolving environments.
• Strong interpersonal communication skills, including client interaction, technical discussions, and collaborative problem-solving.

Bonus Points

• Experience leading and mentoring teams, driving quality and delivery through Technical direction, Code reviews
• Hands-on problem solving
• Experience working closely with stakeholders and product teams to translate business needs into clear, actionable engineering requirements.
• Familiarity with visualization libraries such as D3.js.
• Familiarity with AI/ML and Data Analytics frameworks.
• Experience with search, graph, or analytics databases, such as: Elasticsearch (ELK stack), Graph databases (Neo4j, TigerGraph, etc.)
• Exposure to OpenAI APIs and modern AI platform integrations.
• Strong owner mentality — self-directed, hands-on, needs minimal supervision, and takes accountability for quality, usability, and system reliability.
• A builder’s mindset: “learn it all” over “know it all”, always experimenting, iterating, and improving.
• Ability to design, architect, and rapidly deliver complex systems with minimal direction.
• Comfortable owning key product deliverables while collaborating effectively with cross-functional teams.
• Passionate, unafraid to take responsibility, and deeply committed to the team and mission.
• Loves to learn, build, and win together.
• Strong communication skills across voice, writing, chat, and video, and experience working with remote / global teams.

What We Offer

• Influence & Impact: Lead and shape the future of healthcare AI implementations
• Outsized Opportunity: Join at the ground floor of a rapidly scaling, VC-backed startup
• Ownership, Autonomy & Mastery: Full-stack ownership of customer programs, with freedom to innovate
• Learning & Growth: Constant exposure to founders, customers, and new technologies—plus a professional development budget

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses. Skills:- Python, NodeJS (Node.js), Javascript, MongoDB, Kubernetes and kafka