AWS Python Data Engineer - Cloud, AI, Data Apps

Infosys Limited; Hartford, Northern (CT, KY); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Long-term/Short-term Disability

Health and Dependent Care Reimburse. A

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys Limited is seeking a Technology Consultant 1 to drive digital transformation for financial services clients in the US. The role involves capturing user needs, designing software specs, coding, testing, and deploying features within cloud-native architectures.

You’ll collaborate across banking, wealth, and insurance domains and participate in SDLC lifecycles with a proactive production monitoring mindset.

Qualifications

• Bachelor’s degree or foreign equivalent required.
• Willingness to relocate and travel to project locations.
• Authorized to work in the United States.
• Experience with AWS services and microservices architecture.

Responsibilities

• Assist in stakeholder interviews to capture needs and document requirements.
• Participate in design discussions and create process documentation.
• Develop, refine, and document code per design specs.
• Execute test plans, analyze results, and report defects.
• Support integration of new features and maintain system infrastructure.
• Monitor live apps and document troubleshooting steps for maintenance.
• Document coding practices and testing methodologies for the team.

Skills

AWS

Python

CI/CD

Docker

Kubernetes

Terraform

SDLC

Production monitoring

System Design

PySpark

FastAPI/Flask

Distributed Systems

SQL & NoSQL

Education

Bachelor’s degree

Foreign equivalent

Tools

Docker

Kubernetes

Terraform

GitLab

Git

Job description

Infosys Limited is seeking a Technology Consultant 1 to drive digital transformation for financial services clients in the US. The role involves capturing user needs, designing software specs, coding, testing, and deploying features within cloud-native architectures.

You’ll collaborate across banking, wealth, and insurance domains and participate in SDLC lifecycles with a proactive production monitoring mindset.