The position is for a senior full-stack developer with 6-8 years of experience, specializing in building enterprise-scale applications. This role is suited for a strong Angular, React-focused full stack developer with prior experience in Angular and Java-based backend systems, contributing to modern, scalable, and cloud-native applications.

Responsibilities

· Design, develop, and maintain scalable full stack applications with a focus on Angular/React.js and modern UI architecture

· Core Skills: Expert-level proficiency in modern JavaScript frameworks (React.js/Angular), JavaScript (ES6+), TypeScript, HTML5, and CSS3.

· Modernize legacy Angular applications into React-based solutions

· Develop backend services using Java (17+), Spring Boot, and microservices architecture

· Proven experience building RESTful web services and API gateways, such as Apigee

· Build and maintain event-driven data pipelines with real-time data processing using Kafka.

· Database Integration: Integrate applications with both SQL (Oracle, PostgreSQL) and NoSQL databases, utilizing caching solutions where appropriate.

· Proficiency with version control systems such as Git, GitHub, or Bitbucket.

· Experience with CI/CD tools like Jenkins, Harness or Tekton.

· Integrate with Oracle and NoSQL databases (MongoDB)

· Standards: Knowledge of responsive design principles, accessibility (ADA compliance), and end-to-end UI deployment strategies.

· Proficiency with build tools like Maven or Gradle and unit testing frameworks (e.g., JUnit, Mockito).

· Support CI/CD pipelines using Jenkins, TeamCity, or similar tools

· Work with Docker, Kubernetes, and OpenShift for containerized deployments

· Use AI-assisted development tools (e.g., GitHub Copilot) to enhance productivity

· Monitor applications using ELK, Grafana, and resolve production issues

· Demonstrated ability to build and maintain large-scale data processing applications.

Preferred Skills (Good to Have)

· Experience with data virtualization systems like Starburst.

· Experience with Python for scripting or data manipulation.

· Experience with QA automation frameworks and strategies for large-scale data processing.

· Familiarity with job scheduling tools like Autosys or ETL processes

· Experience with AI coding assistants

Qualifications