Backed Engineer

Responsibilities

• Design, build, and maintain robust, scalable RESTful or GraphQL APIs.
• Architect systems with clear data models and a 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 effectively with cross-functional teams (frontend, DevOps, product) to deliver high-quality features rapidly.
• Troubleshoot performance bottlenecks, memory leaks, and production outages.

Required Skills

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

Nice to Have

• Experience with cloud platforms such as AWS (EC2, S3, RDS, Lambda), GCP, or Azure.
• Familiarity with Kubernetes or other container orchestration tools for service scaling.
• Hands-on experience with monitoring and logging tools like Prometheus, Grafana, ELK stack, Datadog, or Sentry.
• Experience building event-driven architectures using Kafka, RabbitMQ, or pub-sub systems.
• Exposure to real-time systems using WebSockets, Socket.io, or Server-Sent Events.
• Prior experience with serverless architectures (AWS Lambda, GCP Functions).
• Basic experience 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 field. Equivalent practical experience or significant contributions to open-source backend projects will also be considered.