Full Stack Developer

Full Stack Product Development :

- Design, develop, test, and maintain enterprise-grade product features and modules.

- Build modern web applications using TypeScript, Node.js, React, Next.js, and Tailwind CSS.

- Develop and maintain backend services and enterprise applications using C# and .NET.

- Build secure and scalable REST/JSON APIs and service integrations.

- Translate functional and technical requirements into well-designed software solutions.

- Participate in technical design discussions and contribute to architectural decisions.

Backend & Integration Development :

- Develop backend services, APIs, business logic, and integration components.

- Integrate applications with internal platforms, third-party services, enterprise systems, and data sources.

- Implement authentication, authorization, RBAC, and API security patterns.

- Work with asynchronous processing, background jobs, APIs, and distributed application components.

Data & Database Engineering :

- Work with relational databases such as PostgreSQL, MySQL, and SQL Server.

- Design schemas, queries, stored procedures, and data-access components where required.

- Optimize database queries and application performance.

- Work with caching or in-memory data stores where appropriate.

- Support application-level data integration and basic ELT/data-processing workflows.

Cloud & DevOps :

- Develop and deploy applications in cloud environments such as Azure, AWS, or GCP.

- Work with CI/CD pipelines and modern software deployment practices.

- Troubleshoot applications running in Linux and cloud environments.

- Contribute to application monitoring, logging, observability, and production troubleshooting.

- Support releases and help resolve post-production issues.

AI-Assisted Engineering :

- Use tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar AI development assistants to accelerate development.

- Apply AI tools appropriately for coding, debugging, refactoring, documentation, unit testing, and technical analysis.

- Validate AI-generated code rather than relying on it blindly.

- Explore opportunities to incorporate AI capabilities and AI agents into product workflows.

- Continuously evaluate new development tools and engineering approaches that can improve team productivity.

Technology Ecosystem :

- Frontend : TypeScript, JavaScript, React, Next.js, Tailwind CSS, HTML/CSS

- Backend : Node.js, C#, .NET / .NET Core, REST APIs, JSON, Microservices

- Databases : PostgreSQL, MySQL, SQL Server, In-memory or caching technologies

- Cloud & DevOps : Azure, AWS, or GCP, Linux, Git, CI/CD, Docker, Application monitoring and logging

Skills

Full Stack, TypeScript, Node.js, C#, .Net, Next.js, React.js, REST API, Azure