Senior Full Stack Developer (React & Node.js / Java)

" Must Have Skills (TOP 3 SKILLS)

React, Nodejs (80%) & Java(20%)

" Detailed Job Description.

Contribute to the development of both Frontend (UI) and Backend (BFF) layers.

Build Frontend with React JS and Backend BFF (Backend for Frontend) layer with either Java & Javascript / REST / Graph QL / Node JS / MuleSoft.

Create and support the development of responsive/adaptive web applications.

Work closely with the UX/UI Designers to create high-quality, innovative, and intuitive user experiences in our products.

Employ engineering techniques to build high-performance pages, user and browser-friendly UI / Web solutions.

Effectively use Git Hub Co-pilot across SDLC for pair programming, unit test cases, automation test cases, and to write user stories in agile processes to increase developer productivity.

Partner with Enterprise, Application Architecture teams and contribute to the detailed design and architecture to enable secure, scalable, and maintainable software.

Focus on scalability, security, and availability of all applications and processes.

Design, code, test, debug, and document new and existing components to ensure that software meets business, quality, and operational needs.

Build high-quality code following unit testing and test-driven and security-driven development.

Implement all critical NFRs defined at the solution level.

Constantly improve website performance with the help of application monitoring tools such as Dynatrace, Quantum Metrics, Splunk, etc.

Work with the team to troubleshoot code-level problems quickly and efficiently.

Apply deep technical expertise to resolve challenging programming and design problems.

Technical Skills:

React.js, Node.js, Next JS, Micro Front-End architecture, Typescript, Graph QL, Bootstrap.js, HTML5, XML, CSS3, Java, JavaScript, REST services, NoSql technologies (Cassandra/Mongo DB), Spring boot, Kafka/MQ, Redis, Splunk,

Azure / AWS Cloud Environments, Prometheus/Grafana, Git, Jira, Jenkins, Docker, Kubernetes, AI and Machine Learning.