Python SRE: Elevate Production Reliability & Automation

Infosys

Hyderabad City Taluka

On-site

PKR 2,790,000 - 5,022,000

Full time

14 days+

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Job summary

Infosys is seeking an experienced Python SRE Production Support Engineer in Hyderabad to join our operations team. You will provide Python-based production support for critical applications and lead incident response, RCA, and permanent fixes.

The ideal candidate has 8-10 years of IT experience with hands-on Python, SRE practices, on-call rotations, and collaboration with cross-functional teams to improve reliability and performance of platforms.

Qualifications

  • 8-10 years of IT experience in production support or related roles.
  • Hands-on experience with Python-based production support and SRE activities.
  • Exposure to incident management and on-call rotations.

Responsibilities

  • Provide L2/L3 production support for critical applications and platforms.
  • Develop and maintain Python automation scripts to reduce manual tasks.
  • Monitor health using enterprise monitoring tools and respond to incidents within SLA timelines.
  • Perform root cause analysis and implement permanent fixes.
  • Collaborate with development, infrastructure and business teams for issue resolution.
  • Manage deployments, releases, and environment support activities.
  • Improve reliability, performance and availability using SRE best practices.
  • Create and maintain runbooks, SOPs, and support documentation.
  • Participate in on-call support and major incident management.

Skills

Python
SRE
Production Support

Tools

OpenSystem
DevOps

Job description

Infosys is seeking an experienced Python SRE Production Support Engineer in Hyderabad to join our operations team. You will provide Python-based production support for critical applications and lead incident response, RCA, and permanent fixes.

The ideal candidate has 8-10 years of IT experience with hands-on Python, SRE practices, on-call rotations, and collaboration with cross-functional teams to improve reliability and performance of platforms.

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