Backend Engineer

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Backend Engineer

Location: Noida ( On Site)


We’re building the Enterprise Revenue Fabric — a next-generation SaaS platform that unifies data, automation, and AI governance to help enterprises run their revenue operations autonomously.

Our backend powers intelligent agents, real-time orchestration, and governed APIs that connect enterprise systems in milliseconds.

We’re looking for a strong backend engineer who loves solving for scalability, reliability, and elegant system design.


What You’ll Work On

  • Design and build high-performance microservices in FastAPI (Python) and Node.js (TypeScript).
  • Develop and maintain REST / GraphQL APIs consumed by multiple modules and agents.
  • Implement multi-tenant architecture with PostgreSQL (RLS) and Redis for session and cache management.
  • Build event-driven services leveraging Azure Event Hubs / Kafka for real-time workflows.
  • Own backend deployment, scaling, and reliability on Azure Kubernetes Service (AKS).
  • Integrate OPA / Kyverno policy enforcement and audit logging for secure and compliant execution.
  • Implement observability and automation using ArgoCD, Grafana, and Terraform.
  • Collaborate closely with frontend, AI, and product teams to deliver intelligent automation experiences.


What We’re Looking For

  • 4–8 years of backend development experience with Python (FastAPI/Flask) or Node.js (TypeScript/Express).
  • Deep understanding of RESTful architecture, async processing, and API versioning.
  • Strong experience with PostgreSQL, including RLS, schema design, and performance tuning.
  • Experience building and deploying on Kubernetes, with IaC tools like Terraform.
  • Understanding of auth frameworks (JWT/OAuth2) and RBAC in multi-tenant systems.
  • Bonus: familiarity with pgvector, Kafka Streams, OPA, or FinOps tools (Kubecost).
  • Passion for clean, maintainable code and a sense of ownership from architecture to deployment.

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