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Roadzen

Senior Backend Developer

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Description

Roadzen is looking for a Senior Backend Developer with 7-8 years of experience to design, build, and own the backend services and APIs that power our AI-driven insurtech products. You'll work on high-scale, data-intensive systems spanning claims processing, telematics, and policy administration, partnering closely with product, data, and DevOps teams to ship reliable, secure, and performant systems.


Responsibilities:

  • Design, build, and maintain scalable, secure backend services and RESTful/GraphQL APIs powering Roadzen's insurtech products.
  • Architect microservices and distributed systems that handle high-volume, real-time data such as telematics feeds, claims, and policy records.
  • Own data modeling and database design across relational and NoSQL stores, optimizing for performance, consistency, and scale.
  • Drive system design decisions, including service boundaries, caching strategy, async messaging, and API contracts.
  • Ensure production reliability through monitoring, logging, alerting, and robust error handling.
  • Write clean, well-tested, maintainable code and uphold strong code review standards across the team.
  • Collaborate closely with frontend, DevOps, product, and data teams to ship features end-to-end.
  • Mentor junior and mid-level engineers and contribute to technical roadmap and architecture decisions.


Requirements:

  • 7-8 years of professional backend software development experience.
  • Strong hands-on expertise in one or more of Node.js/TypeScript, Java/Spring Boot, or Python (Django/FastAPI).
  • Deep understanding of system design principles for high-scale, high-availability distributed systems.
  • Proven experience designing and building RESTful/GraphQL APIs consumed by multiple clients.
  • Strong database skills across relational (PostgreSQL/MySQL) and NoSQL (MongoDB/Redis/DynamoDB) systems, including schema design, indexing, and query optimization.
  • Experience with message queues/event streaming (Kafka, RabbitMQ, or SQS) for async and high-throughput processing.
  • Solid grasp of cloud infrastructure (AWS/Azure/GCP), containerization (Docker), and orchestration (Kubernetes).
  • Track record of building and scaling systems that handle large data volumes and high request throughput.
  • Strong understanding of security best practices: authentication, authorization, data encryption, and API security.
  • Excellent problem-solving skills and ability to debug complex production issues.
  • Experience with CI/CD pipelines and infrastructure-as-code.


Good to Have:

  • Experience in insurtech, insurance, fintech, or other regulated/compliance-heavy domains.
  • Exposure to telematics, IoT data pipelines, or claims and policy management systems.
  • Experience with real-time data processing frameworks (Spark, Flink).
  • Familiarity with observability tooling (Datadog, Prometheus, Grafana, ELK).
  • Prior experience mentoring engineers or leading small technical initiatives.
  • Contributions to open-source projects or technical writing.

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