Java Full-Stack Engineer - AI-Driven Delivery

Infosys; Austin (TX); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

401(k) plan

Paid Holidays

Paid Time Off

Job summary

Infosys is seeking a Technology Consultant 2 in Austin, TX to drive end-to-end software development across SDLC phases. You will translate complex requirements into actionable tasks, lead design discussions, code, test, and coordinate bug fixes while supporting production reliability and knowledge sharing across teams.

The role emphasizes collaboration with cross-functional teams, hands-on coding, and ongoing learning in a data-driven engineering environment focused on scalable, AI-enabled

Qualifications

• Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

Responsibilities

• Document assigned parts of business requirements and guide design discussions to support software solutions.
• Facilitate software design discussions and document decisions for the technical team.
• Participate in coding and integrate new features, maintaining system stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes to uphold quality.
• Develop user training materials, documentation, and support frameworks for new software.
• Resolve production issues and implement preventive strategies to improve reliability.
• Maintain detailed records of code, tests, and support activities to enrich the knowledge base.

Skills

Java

Spring Boot

Microservices

RESTful APIs

Backend Services Development

AIML

Education

Bachelor's degree

Tools

Git

Jenkins

CI/CD

Job description

Infosys is seeking a Technology Consultant 2 in Austin, TX to drive end-to-end software development across SDLC phases. You will translate complex requirements into actionable tasks, lead design discussions, code, test, and coordinate bug fixes while supporting production reliability and knowledge sharing across teams.

The role emphasizes collaboration with cross-functional teams, hands-on coding, and ongoing learning in a data-driven engineering environment focused on scalable, AI-enabled