Sr. Java Backend Engineer

HRS Group

5 - 10 years

7 - 12 Lacs

mohali

Posted:2 weeks ago| Platform:

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Skills Required

maven customer management hibernate core java automation software design mysql mvc oracle information technology

Work Mode

Work from Office

Job Type

Full Time

Job Description

POSITION

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.

CHALLENGE

- 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.

FOR THIS EXCITING MISSION YOU ARE EQUIPPED WITH...

- 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.