Senior SRE

Senior SRE Kubernetes / AWS

Experience: 6+ Years
Location: Hyderabad
Employment Type: Contract-to-Hire (CTH) 1 Year

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

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.

Mandatory Technical Skills

• Kubernetes – Strong hands-on production experience
• AWS
• Docker & Helm
• Jenkins / CI-CD
• Linux – AWS Linux / Ubuntu
• Bash / Shell & Python
• Monitoring – Splunk, Dynatrace, Prometheus, Grafana, ELK, CloudWatch
• ITIL / ITSM – Incident, Problem, Change & Release Management
• Git – Bitbucket / GitHub / GitLab
• Apache Kafka
• Akamai
• Venafi / CertiS
• MySQL / SQL
• AI-assisted SRE / Copilot / Agentic AI exposure