Backed Engineer

We're looking for a Backend Engineer to architect and build scalable, performant, and secure APIs and services. You'll work closely with frontend, DevOps, and product teams to deliver high-impact backend systems that power critical features across our platform. The ideal candidate has deep experience with backend frameworks, databases, API design, and cloud infrastructure—and knows how to build reliable systems that scale.

Responsibilities:

• Design, build, and maintain robust, scalable RESTful or GraphQL APIs.
• Architect systems with clear data models and clean separation of concerns.
• Optimize database performance through effective indexing, query tuning, and caching strategies.
• Implement security best practices including authentication, authorization, rate limiting, and input validation.
• Write unit, integration, and end-to-end tests to ensure system correctness and reliability.
• Deploy, monitor, and maintain services in staging and production environments using CI/CD pipelines and observability tools.
• Collaborate with cross-functional teams including frontend, DevOps, and product to ship high-quality features fast.
• Troubleshoot performance bottlenecks, memory leaks, and outages in production environments.

Required Skills:

• Proficiency in one or more backend languages: Node.js (JavaScript/TypeScript), Python, Java, or Go.
• Experience with backend frameworks: Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber.
• Strong understanding of databases: Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
• Expertise in API design: REST, GraphQL, pagination, versioning, and error handling.
• Familiarity with authentication protocols: JWT, OAuth2, session handling.
• Solid grasp of security principles: XSS, CSRF, SQL Injection, secure password handling.
• Experience with Docker for containerization and deploying microservices.
• Understanding of caching (Redis, CDN), background processing (e.g., BullMQ, Celery), and job queues.
• Working knowledge of Git workflows and code review practices.
• Comfortable with CI/CD pipelines and automated deployments using tools like GitHub Actions, Jenkins, or GitLab CI.

Nice to Have:

• Experience with cloud platforms: AWS (EC2, S3, RDS, Lambda), GCP, or Azure.
• Familiarity with Kubernetes or container orchestration for service scaling.
• Hands-on with monitoring/logging tools: Prometheus, Grafana, ELK stack, Datadog, Sentry.
• Experience building event-driven architectures: Kafka, RabbitMQ, or pub-sub systems.
• Exposure to real-time systems: WebSockets, Socket.io, or Server-Sent Events.
• Prior work on serverless architectures: AWS Lambda or GCP Functions.
• Basic experience working with ETL pipelines or streaming data.
• Integration experience with GenAI/ML inference layers is a plus.

Educational Qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical discipline.
• Equivalent practical experience or contributions to open-source backend projects are also considered.