Java Full Stack Developer

To be successful as a Java Full Stack Developer, you should have experience with:

• Strong hands on experience developing web applications using Angular, Java/Python APIs
• Strong hands on experience with SQL programming and MS SQL Server
• Hands on experience working with OpenShift as hosting environment integrated with Gitlab CI/CD pipelines
• Hands on experience with automated unit testing frameworks integrated with SONAR
• Strong Problem solving skills and Stakeholder interaction abilities
• Good understanding of machine learning and Gen AI concepts
• Good understanding of best practices, solid principles and design patterns

Frontend Development (Angular)

• Angular (v14+ preferred)
• TypeScript
• JavaScript (ES6+)
• HTML5, CSS3, SCSS
• Angular Material
• RxJS
• State Management (NgRx)
• Responsive UI Design
• Single Page Application (SPA) development

Backend Development Java

• Core Java (Java 11/17+)
• Spring Boot
• Spring MVC
• Spring Data JPA / Hibernate
• REST API Development
• Microservices Architecture
• Maven / Gradle
• Unit Testing (JUnit, Mockito)

Backend Development Python

• Python 3.x
• FastAPI / Flask
• REST API Development
• Object-Oriented Programming
• Dependency Management (Poetry/Pip)

API & Integration

• REST APIs
• JSON
• OpenAPI / Swagger
• API Security (OAuth2, JWT)
• Postman

Database Skills

• SQL
• PostgreSQL / SQL Server
• Data Modelling
• Stored Procedures
• Query Optimization

DevOps & CI/CD

• Git
• GitLab
• GitLab CI/CD
• Jenkins
• SonarQube
• Code Quality & Secure Coding
• OpenShift hosting

Testing

• Automated Unit Testing
• Integration Testing
• Playwright / Cypress
• Test Automation
• TDD fundamentals

Software Engineering

• Agile / Scrum
• JIRA
• Design Patterns
• SDLC
• Code Reviews
• Problem Solving & Debugging

AI & Automation

• Python AI/ML libraries
• LangChain
• LLM Integration
• GitLab Duo
• Claude Code
• Copilot-assisted development

Data Engineering Exposure

• Pandas
• Spark
• ETL Concepts
• Data Pipelines

Some other highly valued skills may include:

• Experience working with Postgre
• Experience building GenAI powered applications is huge plus (preferably Claude models)

Cloud & Platform Engineering

• AWS/Azure
• Kubernetes
• Docker

Advanced Architecture

• Event Driven Architecture
• Kafka
• MQ
• Distributed Systems
• Spec Driven Design (SDD)

Observability & SRE

• Splunk
• Dynatrace
• Grafana
• Prometheus
• Application Monitoring
• Reliability Engineering principles