Engineering Lead- Java

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