Software Engineer--Java and AI Enablement

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

Need Help?

If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).Regular or Temporary:

Regular Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)
Please review the following job description:
** Responsible to drive payment platform
**** Strong in designing application, AI Adoption, Spec Driven development
**** AI ways of building application, Java, Spring Boot, AWS Cloud, SQS, Kafka, Postgress
** Adaption and Usage of AI, familiar with Using LLMs for SDLC lifecycle
• Build AI/ML-driven AIOps solutions for monitoring, anomaly detection, and root-cause analysis.
• Automate incident detection, correlation, and remediation across cloud platforms.
• Experience with GenAI/LLMs, AWS, Python, observability, and SRE practices.

ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently designs, develops, tests, and maintains complex software components and services addressing business and user requirements.
2. Implements advanced features and enhancements using established coding standards, architectural patterns, and development best practices.
3. Leads code reviews and provides constructive feedback to ensure code quality, maintainability, and performance.
4. Collaborates with cross-functional technical teams to plan and execute technical initiatives, ensuring timely delivery of solutions.
5. Troubleshoots, debugs, and resolves complex software defects and production issues, applying root-cause analysis and corrective actions.
6. Participates actively in the full software development lifecycle, including requirements analysis, design discussions, development, testing, deployment, and support.
7. Applies secure coding practices, testing strategies, and documentation standards to ensure software quality and compliance with organizational guidelines.
8. Mentors and supports junior engineers to foster technical growth and adherence to best practices.
9. Utilizes and contributes to existing frameworks, tools, and technologies to enhance application development across relevant technology domains.

Qualifications

Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor’s degree in computer science, Software Engineering, or related field with 5 years of relevant experience or equivalent education and training.
2. In-depth knowledge of information systems and ability to identify, apply, and implement IT best practices.

Preferred Qualifications:

1.Build AI/ML-driven AIOps solutions for monitoring, anomaly detection, and root-cause analysis.

Automate incident detection, correlation, and remediation across cloud platforms.

Experience with GenAI/LLMs, AWS, Python, observability, and SRE practices.
1. 5+ years of software engineering experience
2. AI ways of building application,  Java, Spring Boot, AWS Cloud, SQS, Kafka, Postgress
3. Adaption and Usage of AI, familiar with Using LLMs for SDLC lifecycle

General…