Opportunity For Senior SRE_Nisum_Hyderabad

Job Overview

We are looking for an experienced Senior Site Reliability Engineer (SRE) with strong hands-on expertise in Kubernetes, AWS, Docker, CI/CD, monitoring, automation, and production support.

The ideal candidate should have strong experience managing Kubernetes-based production environments, troubleshooting critical incidents, improving system reliability, and automating operational processes. Exposure to AI-powered SRE tools and Agentic AI for incident monitoring and remediation is required.

Key Responsibilities

• Design, deploy, manage, and troubleshoot Kubernetes-based applications and infrastructure in production.
• Manage cloud infrastructure and services on AWS.
• Work with Docker and Helm for containerization and Kubernetes deployments.
• Develop, maintain, and troubleshoot CI/CD pipelines using Jenkins and Git-based tools.
• Perform production troubleshooting across Linux systems, Kubernetes, applications, databases, and networking.
• Automate operational tasks using Bash/Shell scripting and Python.
• Monitor applications and infrastructure using tools such as Splunk, Dynatrace, Grafana, Prometheus, ELK, and CloudWatch.
• Handle Incident, Problem, Change, Release, Hot Fix, and ECRQ management following ITIL/ITSM processes.
• Work with ServiceNow, Remedy, Jira, and/or Rally for service and incident management.
• Manage certificate renewals using Venafi / CertiS.
• Support database-related troubleshooting involving MySQL and SQL.
• Work with Akamai for traffic routing and related production issues.
• Support messaging/event-driven systems using Apache Kafka / Axon API.
• Participate in production deployments, release activities, on-call support, and root-cause analysis.
• Identify opportunities for automation and continuously improve system reliability, availability, and performance.

AI / SRE Automation Experience Required (not all AI tools is required few of them is also fine)

Candidates should have exposure to AI-assisted SRE and automation, particularly:

• GitHub Copilot for CI/CD pipeline scripting, Kubernetes YAML generation, cloud configuration, documentation, and automation.
• Agentic AI for monitoring logs, identifying incidents, performing automated remediation, and escalating issues.
• Exposure to AI-powered fraud/risk platforms such as Visa Advanced Authorization, Mastercard Decision Intelligence, or Stripe Radar is preferred.

Overall view

• 6+ years of overall experience in SRE / DevOps / Production Engineering / Cloud Operations.
• Strong hands-on experience with Kubernetes and AWS in production environments.
• Excellent production troubleshooting and incident-management skills.
• Strong automation and scripting capabilities.
• Comfortable working in a 24x7 production support / on-call environment.
• Good understanding of reliability, availability, monitoring, observability, and operational excellence.
• Experience working with enterprise ITSM processes and tools.