Job Duties and Responsibilities:

• Collaborate with cross-functional teams, including product owners, designers, and stakeholders, to translate business requirements into technical solutions.
• Build scalable, maintainable, and testable backend services using Python (Flask/FastAPI) and develop responsive frontend components using React framework.
• Develop high-performance APIs, data validation layers, and UI components with a strong focus on reliability and resilience.
• Leverage AI-assisted development tools for code generation, test generation, documentation, and system analysis
• Review, validate, and enhance AI-generated outputs to ensure quality, security, and scalability
• • Implement integrations with relational and non-relational databases, messaging systems.
• Contribute to system architecture design, conduct peer code reviews, and support CI/CD pipelines and performance optimization efforts.
• Work closely with the team to ensure that technical user stories and acceptance criteria are accurately captured
• Maintain high code quality standards through thorough testing (unit and integration), code reviews, and adherence to security best practices.
• Participate in modernization efforts including refactoring, re-platforming, and microservices migration.

Knowledge/Experience Required:

• Hands-on experience in Full Stack software development across frontend and backend technologies.
• Experience with object-oriented programming using languages such as Python, Java, .Net, JavaScript/TypeScript.
• Experience with frontend development using React and with JavaScript, TypeScript, HTML5, and CSS3 in production environments. Experience with RIA controls as plus.
• Experience with backend technology stack: Python (Django, Flask, Fastapi), .Net, Java (Spring boot).
• Experience building and consuming REST APIs and microservices.
• Experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle, and with at least one NoSQL database such as MongoDB, Redis, Cassandra, or DynamoDB.
• Experience using Git and development lifecycle tools such as Azure DevOps.
• Experience with unit testing frameworks such as Pytest, MagicMock or equivalent, and with automated testing and CI/CD pipeline implementation.
• Experience deploying applications, APIs, or analytics workloads to AWS, Azure, or GCP.
• Experience with Docker, container-based application development.
• Knowledge of web security, GitOps, and Kubernetes/OCP customization.
• Experience working with Agile development environments.

Technologies involved:

Python (Flask, FastAPI), REST API, PostgreSQL, SQL Server, MongoDB, Redis, ReactJS, RIA custom controls, ECMAScript, JavaScript/TypeScript, HTML5, GitOps, Azure DevOps, Docker, OCP, Integrating Enterprise shared services, ability to work in Scrum/Agile model.