SRE+ Python Devops

Infosys; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Infosys in Hyderabad is seeking a Python DevOps & SRE with 5–9 years of experience to design and run robust CI/CD pipelines, automate infrastructure with Terraform, and manage Kubernetes-based deployments. The role focuses on reliability, observability, and performance across cloud environments.

You will develop Python scripts for automation, monitor service health, and collaborate with development, QA, and infrastructure teams to reduce incidents and costs while ensuring high availability.

Qualifications

• 5–9 years of experience in Python DevOps or SRE roles.
• Strong experience building and maintaining CI/CD pipelines.
• Proficient with Terraform for infrastructure provisioning.
• Hands-on with Kubernetes and containerized applications.
• Experience with monitoring, observability, and incident response.
• Ability to perform RCA and optimize cloud costs.

Responsibilities

• Build and maintain CI/CD pipelines for applications and services.
• Automate infrastructure provisioning using Terraform.
• Develop Python scripts for operational automation and tooling.
• Deploy and manage containerized applications and Kubernetes clusters.
• Monitor system health, availability, and performance metrics.
• Implement observability, alerting, and incident response processes.
• Troubleshoot production incidents and perform RCA.
• Collaborate with development, QA, and infrastructure teams.
• Optimize cloud infrastructure costs and improve reliability.

Skills

CI/CD pipelines

Automation scripting

Observability

Root cause analysis

Collaboration

Cloud environments

Education

Bachelor's degree in CS/Engineering or equivalent

Tools

Terraform

Kubernetes

Docker

Python

Job description

Position: Python DevOps & SRE

Experience: 5 to 9 years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

• Build and maintain CI/CD pipelines.
• Automate infrastructure provisioning using Terraform.
• Develop Python scripts for operational automation.
• Deploy and manage containerized applications.
• Monitor system health, availability, and performance.
• Implement observability and alerting solutions.
• Troubleshoot production incidents and outages.
• Perform root cause analysis (RCA).
• Optimize cloud infrastructure costs and performance.
• Ensure high availability and reliability of services.
• Collaborate with development, QA, and infrastructure teams.
• Manage Kubernetes clusters and cloud environments.