AI Lead with Java

We are seeking a skilled AI and detail-oriented Java Developer to join our software development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance Java applications that are scalable, secure, and robust using AI Agents

Key Responsibilities: Understand documentation provided by legacy team and provide solutions to migrate legacy systems onto Cloud platform Understand business requirements, provide high level, low level design solutions and implementing the approved design using Spring Cloud, PCF frame works Viewing an opportunity holistically and recommending Transformational solutions and service improvements as part of Legacy Modernization Design and develop microservices using Netflix OSS, Cloud Foundry, MongoDB and Java technology stack Provide solutions to automate code review, setting up the CI/CD pipeline for faster delivery Leverage on Atlassian products such as JIRA, Bitbucket, Bamboo, Confluence for architecting solutions on App modernization projects Participate in customer architecture forums and provide inputs for Architectural decisions on legacy modernization projects Technical discussion on various service requests for the project. Coordinating all the technical aspects of work for successful completion of the project

Required Skills: Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC-implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation-while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected. Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality. Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code). Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows. Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development

7+ years of professional software engineering experience in actively developing large scale software using: Java, Spring framework, cloud development, and Web Services supporting high volume transactions in a highly available environment. 2+ years of hands-on experience with AI/ML implementation and production deployment 6+ years of experience working with containers and microservices in the cloud. 6+ years of experience in cloud deployment in a continuous integration, and continuous delivery model (CI/CD) 2+ years of experience with Pivotal Cloud Foundry (PCF), or AWS or GCP 2+ years' experience working with databases like MongoDB, Aerospike, and/or PostgreSQL 2+ years Prior experience in IT Transformations and system modernization initiatives from legacy to distributed platforms, i.e., Mainframe Cobol apps/DB2 to Java apps/SQL or MongoDB Hands-on experience with Large Language Models (e.g., GPT-5, Claude, Gemini, PaLM)Good Knowledge about PCF Good knowledge of messaging technologies (Rabbit MQ, Kafka, or equivalent) Experience in Test Driven Development, QA Automation and Quality mindset and behaviors Hands on experience on microservices architecture Awareness to Agile concepts Worked in onsite and offshore model

Preferred Qualifications: Bachelors in engineering