Core Technical Skills

Java Stack

Mandatory

- Java 11/17+
- Spring Boot
- Spring Framework
- Spring Data JPA
- Hibernate
- REST APIs
- Maven/Gradle
- JUnit/Test Automation

Architecture

- Microservices
- API-first Development
- Domain Driven Design (DDD)
- Event Driven Architecture
- Distributed Systems
- Resiliency Patterns

Cloud & DevOps

- Google Cloud Platform (GCP)
- Google Kubernetes Engine (GKE)
- Docker
- Kubernetes
- Helm
- Git
- CI/CD Pipelines
- Monitoring & Observability

Database

- SQL
- Oracle
- PostgreSQL
- Query Optimization
- Transaction Management

Security

- OWASP Top 10
- IAM
- API Security
- Encryption
- Secrets Management
- DevSecOps

AI Engineering Requirements Candidates should demonstrate practical experience in:

AI-Assisted Development

- GitHub Copilot
- ChatGPT
- Gemini




- Claude
- IDE-based AI assistants

Prompt Engineering

- Structured prompting
- Context engineering
- Requirement-driven AI outputs

AI Agents

- Agent configuration
- Workflow orchestration
- Human-in-loop checkpoints
- Multi-agent SDLC workflows

AI Governance

- Responsible AI usage
- Data privacy compliance
- Secure handling of enterprise information
- Output validation and hallucination detection

AI Productivity

- Evidence of measurable improvements in:

- Development productivity

- Defect reduction

- Documentation quality

- Delivery acceleration

📌 Engineering Lead- Java (Greater Noida)
🏢 Coforge
📍 Greater Noida