Back End Developer

Job Title: Backend Engineer

Location:
Onsite – Noida

Type:
Full-time

About Us

At
Uplevyl
, we're redefining what intelligent communities look like. Through our AI-powered agents, we're building scalable, agentic community systems that reduce manual work and increase member engagement—especially for women-centric organizations.

We're looking for someone who
gets community
—because they've built one. Someone who understands the operational bottlenecks and the daily wins of growing a thriving space. Most importantly, someone who can now take that expertise and help us bring this new generation of agentic communities to life.

Key Responsibilities

• Design, build, and maintain robust backend services for large-scale, multi-tenant SaaS applications.
• Develop and optimize GraphQL APIs for seamless integration across products and AI-driven systems.
• Work with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, DynamoDB) databases, ensuring efficient schema design and performance.
• Architect, deploy, and scale microservices in containerized environments (Docker/Kubernetes).
• Implement event-driven architectures using Kafka, Kinesis, or RabbitMQ.
• Leverage AWS services (ECS, Lambda, RDS, S3, Cognito) to ensure high availability, security, and scalability.
• Collaborate with frontend and AI teams to deliver integrated solutions for intelligent community systems.
• Troubleshoot, debug, and optimize backend applications for performance and reliability.

Performance Expectations

• Deliver secure, scalable, and production-ready backend services within project timelines.
• Maintain high system uptime and performance across distributed environments.
• Proactively address architectural challenges in multi-tenant SaaS and event-driven systems.
• Demonstrate strong ownership of backend infrastructure, from design through deployment.
• Communicate effectively with cross-functional teams to ensure smooth product integration.

Opportunities & Challenges

• Opportunities:
• Work on backend systems powering next-generation AI-driven community platforms.
• Build multi-tenant architecture that can scale globally.
• Gain exposure to AI integration and advanced API ecosystems.
• Challenges:
• Architecting for scale while maintaining high performance and low latency.
• Ensuring fault tolerance and reliability in distributed event-driven systems.
• Navigating complex SaaS deployments across cloud-native environments.

Qualifications

• 5+ years of experience as a Backend Engineer in large-scale applications.
• Strong expertise in
  )
  with hands-on experience building GraphQL APIs.
• Experience with SQL (PostgreSQL/MySQL) and NoSQL (MongoDB, DynamoDB) databases.
• Solid understanding of microservices architecture and containerization (Docker/Kubernetes).
• Hands-on experience with
  AWS stack
  (ECS, Lambda, RDS, S3, Cognito).
• Knowledge of event-driven systems (Kafka, Kinesis, RabbitMQ).
• Familiarity with AI and API integration is a strong plus.
• Experience designing and scaling multi-tenant SaaS architectures.