Backed Engineer

Role Overview: Soul Ai is seeking a talented Backend Engineer to architect and develop scalable, high-performance, and secure APIs and services. In this role, you will collaborate closely with frontend, DevOps, and product teams to deliver impactful backend systems that drive critical features across our platform. The ideal candidate possesses extensive experience with backend frameworks, databases, API design, and cloud infrastructure, with a proven ability to build reliable and scalable systems.

Responsibilities: Design, build, and maintain robust and scalable RESTful or GraphQL APIs. Architect systems with clear data models and effective separation of concerns. Optimize database performance through advanced indexing, query tuning, and caching strategies. Implement comprehensive security best practices, including authentication, authorization, rate limiting, and input validation. Develop unit, integration, and end-to-end tests to ensure system correctness and reliability. Manage the deployment, monitoring, and maintenance of services in staging and production environments, leveraging CI/CD pipelines and observability tools. Collaborate effectively with cross-functional teams, including frontend, DevOps, and product, to rapidly ship high-quality features. Troubleshoot and resolve performance bottlenecks, memory leaks, and production outages.

Required Skills:

• Proficiency in at least one backend language such as Node.js (JavaScript/TypeScript), Python, Java, or Go.
• Experience with popular backend frameworks like Express/NestJS, Django/FastAPI, Spring Boot, or Gin/Fiber.
• Strong understanding of both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
• Expertise in API design principles, including REST, GraphQL, pagination, versioning, and error handling.
• Familiarity with authentication protocols such as JWT and 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 major cloud platforms like 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 such as Prometheus, Grafana, ELK stack, Datadog, or Sentry.
• Experience building event-driven architectures using Kafka, RabbitMQ, or other pub-sub systems.
• Exposure to real-time systems development using WebSockets, Socket.io, or Server-Sent Events.
• Prior experience with serverless architectures using AWS Lambda or GCP Functions.
• Basic experience with ETL pipelines or streaming data processing.
• Integration experience with GenAI/ML inference layers is considered a plus.

Educational Qualifications: A Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field is preferred. Equivalent practical experience or significant contributions to open-source backend projects will also be considered.