Backend Developer

Role Overview

The Backend Developer will be responsible for designing, developing, and maintaining robust APIs and backend services that support Kinetics’ web and mobile applications. The ideal candidate will have strong expertise in Node.js, Express, and RESTful API development, as well as experience with database design, cloud deployment, and third-party integrations.

Key Responsibilities

• Design, build, and maintain scalable backend systems and APIs using Node.js (Express/Nest.js).

• Collaborate with front-end, mobile, and DevOps teams to define and implement data flows and integrations.

• Build secure authentication, authorization, and data protection layers (JWT/OAuth2).

• Work with MySQL to design efficient schemas and optimize queries.

• Integrate with third-party services and SDKs (Salesforce, AWS, Firebase, Payment Gateways, etc.).

• Write clean, modular, and maintainable code following Kinetics’ internal development guidelines.

• Troubleshoot, debug, and resolve backend performance and reliability issues.

• Participate in code reviews, QA processes, and Scrum ceremonies.

• Contribute to API documentation and developer handover deliverables.

• Stay current with emerging backend technologies, frameworks, and security practices.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.

• 2–4 years of professional experience as a Backend Developer.

• Strong proficiency in Node.js, Express, REST APIs, and JavaScript/TypeScript.

• Experience with MySQL databases.

• Understanding of microservices architecture, API versioning, and scalability principles.

• Familiarity with AWS services (EC2, S3, ECS) and Docker.

• Solid understanding of Git, CI/CD pipelines, and Agile/Scrum methodologies.

• Knowledge of security standards (JWT, CORS, rate limiting, data encryption).

• Experience integrating payment gateways, email services, or CRM systems is a plus.

Preferred Skills

• Experience with NestJS or GraphQL.

• Exposure to AI/LLM integrations (AWS Bedrock, OpenAI, etc.).

• Knowledge of Firebase or real-time communication systems.

• Familiarity with unit testing (Jest/Mocha).