Overview:

We are seeking an exceptional Technical Lead Engineer with a strong backend focus to drive the architecture, development, and implementation of highly scalable, AI-integrated, cloud-native applications. This is a hands-on leadership role that requires deep technical expertise, exceptional implementation speed, and the ability to mentor a team while setting the technical direction. The ideal candidate will be a master practitioner of modern Java/Spring Boot and cloud architectures, with specialized experience in leveraging Generative AI models like Claude AI within enterprise systems.

1. Key Responsibilities

Technical Strategy & AI Integration:

Lead the technical vision for backend services, focusing on robust and scalable integration of third-party AI APIs (e.g., Terminal Anthropic, Claude).

AI Quality Assurance:

Develop and implement strategies and tooling to proactively detect and mitigate AI hallucinations and ensure the integrity and reliability of AI-generated content or decisions within the application flow.

Architecture & Delivery:

Function as a "principal engineer" who can rapidly design and implement production-ready solutions, driving implementation velocity across the team while maintaining Clean Architecture and SOLID principles.

Code & Standards:

Set and enforce high coding standards,



conduct rigorous deep-dive code reviews, and provide expert guidance on concurrency, JVM tuning, and performance optimization (e.g., using Java Virtual Threads).

DevOps & Cloud-Native:

design, secure, and deploy high-availability solutions on AWS, championing Infrastructure as Code (Terraform or AWS CDK) and DevSecOps practices.

Frontend Collaboration (20-30%):

Provide hands-on guidance and contribution to modern front-end stack development, focusing on integrating data-intensive APIs with Next.js and contemporary SPA architectures.

Engineering Rigour & Git Strategy:

Define, enforce, and optimize advanced Git branching strategies (e.g., Gitflow, Trunk-Based Development) to maximize team efficiency and maintain code quality.

2. Technical Requirements (Backend Focus: 70-80%)

Java Mastery:

Expert-level proficiency in Java 17/21, including advanced concurrency, threading models, and deep knowledge of JVM internals.

Spring Ecosystem: Expert knowledge of Spring Boot 3.x, Spring Security (JWT, session management), and developing distributed

Mandatory Skills; CORE JAVA

Desirable Skills : AWS SECURITY & COMPLIANCE, AWS ARCHITECT, JAVA MICROSERVICES, JAVA SPRINGBOOT

Pay: ₹50,000.00 - ₹220,000.00 per month

Work Location: In person

📌 Java Architect (India)
🏢 CornerTree Consulting
📍 India