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:

Bachelor’s in engineering