Java Full stack Engineer

JAVA Full Stack Developer

Only Product based background will preferred.

Immediate, Serving OR 30Days Candidates will preferred.

Please apply only if you are available for an in-person interview next week.

Experience- 2-6Years

About the Role

We are seeking a highly skilled and motivated Full Stack Java Developer to join our engineering team. In an environment where our SDLC is powered by cutting-edge AI tools (including generative AI for coding, testing, and documentation), your primary focus will shift from boilerplate implementation to high-level system architecture, critical evaluation of AI-generated code, and complex problem-solving. This role is for a developer who sees AI not as a replacement for skill, but as a force multiplier that demands greater judgment, technical depth, and prompt engineering expertise. Leveraging AI, you will work across the entire software development lifecycle, from concept to deployment, collaborating closely with product managers, designers, and other engineers to deliver high-quality, impactful solutions.

Key Responsibilities

● AI-Enhanced Development & Delivery: Design, develop, and maintain high-performance, scalable

Java applications and microservices (primarily using Spring Boot/Spring Framework). Utilize AI

coding assistants (e.g., GitHub Copilot, internal tools) to increase speed and offload repetitive tasks.

● Critical AI Code Review & Optimization: Serve as the final technical authority on all AI-generated

code. Rigorously review, debug, and optimize suggested Java code for performance, concurrency,

security, and adherence to established coding standards and design patterns.

● System Architecture & Design: Lead the design and implementation of large-scale distributed

systems, focusing on resilience, low-latency, and fault tolerance within the Java ecosystem.

● Prompt Engineering for SDLC: Apply advanced prompt engineering techniques to maximize the

efficacy of generative AI tools for writing comprehensive unit/integration tests, drafting technical

documentation (Javadoc, API specs), and generating code refactoring suggestions.

● CI/CD and Observability: Oversee and enhance automated build, test, and deployment pipelines

(CI/CD, Kubernetes/Docker) in a cloud environment (AWS/Azure/GCP), leveraging AI tools for

proactive anomaly detection and monitoring.

Required Technical Qualifications

● 2+ years of professional experience in developing enterprise-level applications using Java (8+ /

modern Java).

● Expert proficiency with the Spring Ecosystem (Spring Boot, Spring Data, Spring Security).

● Deep understanding of Object-Oriented Design (OOD), software design patterns, and Microservices

architecture.

● Strong practical experience with concurrency and multithreading in Java to build highly performant

services.

● Proficiency in modern DevOps practices, including Git, Docker, Kubernetes, and CI/CD pipelines

(e.g., Jenkins, GitLab CI).

● Solid understanding of front-end technologies such as HTML, CSS, JavaScript, TypeScript, and

modern JavaScript frameworks (e.g., ReactJS, MobX).

● Experience with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).

Essential AI-Era Skills (The "New Bar")

● AI Tool Fluency: Demonstrated ability to proficiently use AI-powered developer tools (e.g., GitHub

Copilot, CodeWhisperer) in a production environment.

● Code Judgment: Proven track record of evaluating and overriding AI-generated suggestions that are

technically correct but architecturally flawed or non-compliant with security and performance best

practices.

● Prompting Proficiency: Experience writing clear, contextual, and effective prompts for generative AI

to produce usable code, tests, or documentation.

● Adaptability & Learning: High degree of curiosity and a proactive approach to learning new AI tools

and techniques that continuously reshape the development workflow.

● Domain & Architectural Focus: The capacity to abstract away from low-level coding details to focus

on high-value business logic and systemic architectural integrity.