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

Work arrangement
No