Data Platform Engineer: Kubernetes & Python Specialist

Infosys Limited; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Long-term Disability

Health and Dependent Care Reimburse.

Insurance (Accident, Critical Illness,

401(k) plan

Job summary

Infosys Limited is seeking a Data Platform Engineer with Kubernetes and Python experience in Austin, TX. The role emphasizes building scalable data platforms, collaborating with cross-functional teams, and contributing to design decisions.

You will work on cloud infrastructure, container orchestration, and service deployment, ensuring reliability and performance. The position requires hands-on coding, experience with Kubernetes, and strong communication.

Qualifications

• Bachelor's degree or foreign equivalent required.
• Experience with large scale infrastructure and cloud environments.
• Proven ability to work in an agile environment.

Responsibilities

• Contribute to requirements elicitation by documenting business requirements.
• Facilitate software design discussions and document design decisions.
• Participate in coding and integrate features into existing apps.
• Conduct code reviews and maintain repositories.
• Implement test strategies and coordinate bug fixes.
• Develop training materials and support frameworks.
• Resolve production issues and improve system reliability.
• Maintain detailed records of code and testing techniques.

Skills

Kubernetes

Python

Golang

Cloud environments

Agile

Education

Bachelor's degree

Tools

Helm charts

Kustomize

OPA Policies

Webhooks

Envoy

Nginx ingress

Cilium

Job description

Infosys Limited is seeking a Data Platform Engineer with Kubernetes and Python experience in Austin, TX. The role emphasizes building scalable data platforms, collaborating with cross-functional teams, and contributing to design decisions.

You will work on cloud infrastructure, container orchestration, and service deployment, ensuring reliability and performance. The position requires hands-on coding, experience with Kubernetes, and strong communication.