Sr. Java Backend Engineer

HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travelers Stay, Work, and Pay.

ProcureTech digitally revolutionizes lodging procurement, connecting corporations and suppliers in a cutting-edge ecosystem. This enables seamless efficiency and automation, surpassing travelers' expectations.

TravelTech redefines the online lodging experience, offering personalized content from selection to check-in, ensuring an unparalleled journey for corporate travelers.

In FinTech, HRS introduces advancements like mobile banking and digital payments, turning corporate back offices into touchless lodging enablers, eliminating legacy cost barriers. The innovative 2-click book-to-pay feature streamlines interactions for travelers and hoteliers.

Combining these technology propositions, HRS unlocks exponential catalyst effects. Their data-driven focus delivers value-added services and high-return network effects, creating substantial customer value.

HRS's exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains.

Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide.

HRS ProcureTech Customer Management focuses on building and maintaining strong relationships with enterprise clients who use HRS's procurement technology solutions. The team ensures seamless onboarding, efficient use of HRS tools, and continuous support to help customers optimize their hotel sourcing, travel spend, and overall program performance.

We are looking for a Senior Java+AI/ML Software Engineer (all genders) who will join our "Procure Tech-Customer Management" Team in "Mohali" which will bring enterprise-grade Java expertise, AI capabilities for procurement engine towards our Copilot customer value proposition, through API first and GenAI capabilities.

- Take full ownership of complex problems across a diverse ecosystem of applications, services, and machine learning pipelines — from design to deployment — ensuring robust, scalable, and intelligent systems that deliver exceptional service to global enterprise customers.
- Design, develop, and maintain Java-based APIs, distributed systems, and ML-integrated services that power intelligent features and data-driven decision-making across HRS' engineering    platforms.
- Build and optimize new AI/ML-driven features used by thousands of users and hundreds of enterprise clients, including Fortune 500 companies.
- Collaborate closely with cross-functional teams, including backend, data science, and product, to build and scale AI-enhanced capabilities across our platforms.
- Apply and uphold best practices in software engineering and ML/AI model lifecycle management, bringing architectural consistency and technical excellence across multiple codebases and teams.

- Educational Background: Educational Background: Bachelor's or Master degree in Computer Science, Information Technology, Engineering, or a related field.
- Communication Skills: Excellent verbal and written communication skills, capable of conveying technical concepts to non-technical stakeholders.
- Professional Experience: At least 5 years of experience in developing and delivering enterprise-grade Java  and Spring Boot applications, with a minimum of 2 years of hands-on experience in designing, building, and deploying AI/ML.

   Key Technologies & Tools
- Java Core:   Java 8+, Spring Boot(Core, MVC, Boot, Security, Data JPA), Hibernate, REST APIs
- Data Base(Relational/Non-Relational):   MySQL, Oracle, MongoDB, Redis
- Testing Frameworks: JUnit 4/5, TestNG, Mockito, Spring Boot Test
- Building tools: Maven, Jenkins, Docker
- Cloud tools: AWS ECS, AWS RDS, AWS SQS/SNS
- Monitoring tools: Grafana, AWS Cloudwatch, ELK stack, New Relic, SonarQube    
- Nice to have: Experience in Vaadin

•    LLM Proficiency and Deployment Experience: Intermediate to advanced proficiency in Large Language Models (LLMs), including production deployments and prototype development. 

•    Machine Learning Framework: Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, with successful production model deployments

•    System Design: Strong command of software design patterns, SOLID principles, and architectural best   practices for creating maintainable and robust solutions.

•    Cloud Expertise: Proven experience in AWS cloud-native environments to deliver scalable, resilient, and cost-efficient infrastructure with automated deployments.

•    Infrastructure Automation: Familiarity with CI/CD pipelines, infrastructure as code (Terraform, CloudFormation), and observability tools for seamless development and monitoring.

•    Enterprise Integration Expertise: Deep knowledge of enterprise integration patterns, including REST APIs, message queues, and event-driven architectures.

•    AI-Assisted Development Proficiency: Proficient in AI-assisted development workflows, leveraging tools like GitHub Copilot, Amazon Q Developer, and Cursor to enhance productivity.

Access to a global network of a globally united and mutually responsible "Tribe of lntrapreneurs" that is passionately dedicated to renew the travel industry and while doing so reinvent the ways how businesses stay, work and pay.

Our entrepreneurial driven environment of full ownership and execution focus offers you the playground to contribute to a greater mission, while growing personally and professionally throughout this unique journey. You will continuously learn from a radical culture of retrospectives and continuous improvement and actively contribute to making business life better, smarter and more sustainable.

We offer an attractive remuneration package in line with market standards, including a fixed monthly salary, all necessary work equipment, mobility support, health insurance, and meal and cab facilities.

Location: Mohali (Onsite, 5 days a week)
Remote Flexibility: 25 remote working days annually
Minimum Experience Required: 5 years