About Position:

We are seeking a highly skilled Senior Backend Engineer to design, build, and scale distributed systems that power mission-critical integrations and data-intensive services. The ideal candidate will have robust expertise in TypeScript (Node.Js) and Python, along with hands-on experience developing large-scale backend platforms, SaaS integrations, event-driven architectures, and cloud-native applications.
- Role: Senior Backend Engineer
- Location: Pune
- Experience: 7 to 12 Years
- Job Type: Full-Time Employment

What You'll Do:
- Design, develop, and maintain highly scalable backend services using TypeScript (Node.Js) and Python.
- Build and optimize distributed systems capable of processing large volumes of data with high performance and reliability.
- Develop enterprise-grade integrations with SaaS platforms such as Microsoft Graph, Google Workspace, Salesforce, Slack, and similar ecosystems.
- Implement and maintain OAuth authentication flows, token management, webhook processing, and change notification mechanisms.




- Design and develop incremental synchronization frameworks to ensure efficient and reliable data movement.
- Build fault-tolerant systems capable of handling rate limits, retries, throttling, concurrency control, and recovery scenarios.
- Develop event-driven architectures using message queues, asynchronous processing patterns, and distributed communication mechanisms.
- Deploy, manage, and troubleshoot applications running on Kubernetes environments.
- Design, build, and optimize data models for transactional and analytical workloads.
- Improve database performance, scalability, and system efficiency through continuous optimization.
- Collaborate closely with product, infrastructure, security, and platform engineering teams.
- Investigate production incidents, perform root-cause analysis, and implement permanent corrective actions.
- Drive platform reliability, observability, and operational excellence initiatives.
- Participate in

📌 Lead Platform Development Specialist (India)
🏢 Persistent Systems
📍 India