AWS Python Data Engineer - Cloud & AI, Multiple Locations

Infosys Limited; Charlotte (NC); On-site; USD 76,000 - 106,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse- m

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys DNA unit is hiring a Technology Consultant 2 to help document requirements, design software, and contribute to code and testing efforts. You will work across cloud-native architectures and modern data solutions in a dynamic delivery environment in the USA, with opportunities to advance and learn continuously.

The role emphasizes collaboration, end-to-end SDLC execution, and hands-on coding with a focus on reliability and performance in a fast-growing data-driven organization.

Qualifications

• Experience with AWS services and cloud architecture.
• Experience with Python libraries and scripting.
• Experience with CI/CD, Docker, Kubernetes, Terraform.
• Strong SDLC knowledge and system design skills.

Responsibilities

• Contribute to requirements elicitation by documenting assigned parts of business requirements.
• Facilitate software design discussions and document decisions to guide the team.
• Participate in coding and integrate features while maintaining stability.
• Conduct code reviews and maintain code repositories.
• Implement test strategies, analyze results, and coordinate bug fixes.
• Develop user training, documentation, and support frameworks.
• Resolve production issues and suggest preventive reliability improvements.
• Maintain records of code, testing, and support activities to enrich knowledge base.

Skills

AWS

Python

CI/CD

Docker

Kubernetes

Terraform

SDLC

System design

REST APIs

Microservices

Education

Bachelor's degree

Tools

GitLab

Git

Job description

Infosys DNA unit is hiring a Technology Consultant 2 to help document requirements, design software, and contribute to code and testing efforts. You will work across cloud-native architectures and modern data solutions in a dynamic delivery environment in the USA, with opportunities to advance and learn continuously.

The role emphasizes collaboration, end-to-end SDLC execution, and hands-on coding with a focus on reliability and performance in a fast-growing data-driven organization.