What success looks like in this role:
Java Application (Enhancement & Support)
· Provide ongoing maintenance, bug fixing, and production support for the existing application.
· Analyze, design, and implement feature enhancements to meet evolving business requirements.
· Ensure stable integration between front-end and backend components.
· Maintain and optimize code quality, performance, and reliability through code reviews, testing, and documentation.
· Collaborate with cross-functional teams including QA, Product, and
Infrastructure.
Tech Stack:
· Front-end: Angular, TypeScript
· Backend: Java/J2EE, Spring Boot
· Database: MySQL
· Messaging: RabbitMQ
· APIs: REST API
Cloud Infrastructure & Automation
· Work with Azure and AWS cloud platforms to deploy and manage application infrastructure.
· Design and implement Infrastructure as Code (IaC) using Terraform to automate resource provisioning and configuration.
· Collaborate with DevOps teams to build and maintain CI/CD pipelines, monitoring, and automation workflows.
· Utilize cloud services to enhance system scalability, performance, and cost efficiency.
· Participate in infrastructure troubleshooting and environment optimization.
Agentic AI Development
· Contribute to building intelligent AI-driven agents using Large Language Models (LLMs).
· Leverage frameworks like LangChain, LangGraph, and ReAct (Reasoning and Acting) to enable contextual AI workflows.
· Develop AI orchestration scripts and automation tools using Python.
· Apply prompt engineering principles to fine-tune AI interactions.
· Implement mechanisms for short-term and long-term memory in agentic systems
#LI-BN1
You will be successful in this role if you have:
Bachelor of Engineering with over 6 years’ relevant experience OR equivalent combination of education and experience
· 5–8 years of proven experience in full-stack development for production-grade enterprise applications.
· Proficiency in Angular, TypeScript, Java/J2EE, Spring Boot, MySQL, RabbitMQ, and REST APIs.
· Working knowledge of Azure and/or AWS cloud services.
· Hands-on experience with Terraform for IaC and infrastructure automation.
· Understanding of DevOps principles, CI/CD pipelines, and environment management.
· Strong Python programming skills for AI workflows or automation scripting.
· Familiarity with LLMs, LangChain, LangGraph, and ReAct frameworks.
· Understanding of prompt engineering and context management concepts.
· Experience with version control systems such as Git.
Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.
Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.
If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at [email protected]. US job seekers can find more information about Unisys’ EEO commitment here.
