Senior Backend Engineer – AI-Native Care Orchestration Platform

Role : Senior Backend Engineer – AI-Native Care Orchestration Platform Location : Pune (Remote with 4-hour overlap with Eastern Time Zone) Type : Full-Time About Azodha Healthcare is moving out of hospitals—into homes, virtual care, and distributed models. The technology to run this shift doesn't really exist yet. Azodha is solving that. We sit on top of existing systems and coordinate what actually makes care delivery work—people, workflows, logistics, and data—in real time. The result is a single system that replaces fragmented tools and manual coordination. We're not another point solution. We're building the operating layer for decentralized care. What this role is really about You'll be building backend systems used directly by clinicians and care teams—where scheduling, coordination, and data exchange need to work reliably across fragmented systems. This isn't just about writing clean code.

You'll own features end-to-end, make real infrastructure decisions, and work closely with the founder/CEO to shape both the product and the engineering culture. If you're someone who takes pride in delivery, cares about production reliability, and wants to see the direct impact of your work on how care is delivered—this will feel like the right scope. What you'll work on Backend systems that hold up in the real world Design, develop, and scale backend services using Node.js and TypeScript Build REST APIs and GraphQL endpoints powering web and mobile applications Model and manage data using PostgreSQL, Prisma, and TypeORM Work with event-driven architectures for coordination, notifications, and integrations Data that drives real-time decisions Design and implement data pipelines using tools like Airbyte, dbt, and Apache Airflow / AWS Glue Design and optimize data warehousing solutions Enable systems to react in real time—not just report Systems that don't get to go down Manage and optimize AWS infrastructure including ECS, EC2, S3, RDS, and Lambda Own CI/CD pipelines, observability, and production reliability Participate in on-call rotations to ensure platform stability Build for environments where failures have real-world consequences AI as part of the system (not a side feature) Contribute to AI-led workflows—automation, orchestration, and data flows Stay current with backend and AI trends, and bring new thinking to the team Collaboration & craft Conduct code reviews and drive engineering best practices Mentor junior developers with constructive, grounded technical feedback Work closely with product, QA, frontend, and integrations teams Own features from initial planning through delivery and maintenance What we're looking for 4+ years of hands-on backend experience with Node.js and TypeScript Strong experience with AWS services (ECS, EC2, S3, RDS, Lambda) and infrastructure management Proven experience with data pipeline tools—Airbyte, dbt, Apache Airflow, or AWS Glue Strong proficiency in SQL, data warehousing, and relational databases (PostgreSQL) Experience with ORMs like Prisma or Sequelize Comfortable working with event-driven architectures and message queuing systems Experience implementing and maintaining CI/CD pipelines and automated testing Strong track record of end-to-end ownership of product features Ability to reason about systems holistically, not just individual services Excellent written and oral communication skills; comfortable working async across time zones Preferred (good to have, not blockers) Experience with IaC tools like Terraform or CloudFormation Container orchestration experience with Kubernetes / Docker Exposure to disaster recovery and backup strategies in AWS Experience with GCP or Azure Exposure to healthcare data (HL7 / FHIR) or regulated environments Contributions to open-source backend projects What you'll influence Backend architecture and data infrastructure across the platform Engineering standards, code quality, and delivery practices How AI is woven into real production workflows The way care delivery scales in decentralized, distributed environments Why this is worth your time The problems are real, messy, and unsolved The systems you build directly impact clinicians and patients You'll have genuine ownership—not a narrow slice of a large org You'll work closely with founders and shape product direction from the ground up You'll grow fast in a team that values depth and delivery over process If you're looking for: A well-defined ticket queue in a large org → this isn't it Stability over impact → also not it