Senior Backend Developer

Key Responsibilities:

• Design, develop and maintain scalable RESTful and GraphQL APIs.
• Architect and implement backend services using Node.js, Express.js (or equivalent frameworks like Django/Spring Boot).
• Optimize application performance, security and reliability.
• Work with databases such as MongoDB, PostgreSQL, MySQL, or Redis and design efficient schema structures.
• Integrate third-party APIs and services including authentication, payments, messaging, etc.
• Implement DevOps practices including CI/CD pipelines, containerization (Docker) and cloud deployments (AWS, GCP, or Azure).
• Participate in technical planning, code reviews and architecture discussions.
• Guide junior developers and uphold engineering best practices across projects.

Mandatory Qualifications:

• Education:

  Bachelors or Masters degree in Computer Science, Engineering, or equivalent.

• Experience:

  6–7 years of backend development experience in designing and deploying production-grade systems.

• Languages & Frameworks:

  Proficiency in Node.js, TypeScript/JavaScript, Python, or Java.

• Databases:

  Strong understanding of SQL and NoSQL databases with hands-on experience.

• Version Control:

  Proficient in Git and collaborative development workflows.

Primary Skills:

• System Architecture:

  Experience in microservices, serverless architecture, and scalable backend systems.

• Security & Compliance:

  Knowledge of OWASP best practices, authentication protocols (OAuth2/JWT), and secure coding standards.

• Cloud Integration:

  Hands-on experience with cloud platforms such as AWS Lambda, EC2, S3 and cloud databases.

• Testing & Monitoring:

  Experience with unit testing, integration testing and monitoring tools like Prometheus, New Relic, or ELK stack.

Optional Skills:

• Containerization:

  Knowledge of Docker and Kubernetes.

• CI/CD Tools:

  Experience with Jenkins, GitHub Actions, or GitLab CI/CD.

• Event-Driven Architecture:

  Exposure to Kafka, RabbitMQ, or similar messaging systems.

• AI Integration:

  Understanding of how backend systems support machine learning workflows and APIs.