Backend Engineer (India/Remote)

Architect and develop core backend services using Spring Boot that power our AI-driven platform

Design and implement comprehensive monitoring, alerting, and observability infrastructure using Prometheus and Grafana

Configure and manage AWS scaling policies to ensure system reliability and cost optimization

Build distributed systems leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads

Implement robust data reliability strategies including redundancy, failure handling, and disaster recovery

Design and optimize LLM integration pipelines, including prompt engineering, usage monitoring, and quality assurance

Establish security best practices using Spring Security, implement RBAC, and ensure HIPAA compliance

Model and optimize complex clinical and operational workflows, translating domain requirements into well-structured, maintainable backend processes

Make foundational technical decisions that will scale as we grow from startup to industry leader

Collaborate directly with founders and clinical teams to translate healthcare needs into scalable technical solutions

Own major product features end-to-end, from architecture to deployment

Systems Thinker: You naturally reason about distributed systems, failure modes, and data consistency. You design for what goes wrong, not just what goes right.

Reliability-Focused: You believe monitoring and alerting aren't afterthoughts—they're core engineering deliverables. You sleep better when dashboards are green and alerts are actionable.

Problem Solver: You are resourceful and can architect smart solutions when faced with complex, non-standard requirements or scaling challenges.

Ownership Mindset: You are happy to roll up your sleeves to handle both high-level architecture decisions and the critical operational details that keep a production system running.

Experience in audio/signal processing

Domain-Driven Design (DDD) experience and principles

Advanced Confluent Kafka platform expertise

Infrastructure as Code experience with Terraform

Experience with additional cloud platforms (GCP, Azure)

Background in real-time systems or media processing

Healthcare technology or HIPAA compliance experience

Experience with AI/ML model deployment and monitoring

Open source contributions