Job Overview

We are looking for an experienced Senior Site Reliability Engineer (SRE) with robust 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.

📌 Opportunity For Senior SRE_Nisum_Hyderabad (Hyderabad)
🏢 Nisum
📍 Hyderabad