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About the role
Key Responsibilities: - Monitor application and infrastructure health using Datadog and other observability tools. Identify, triage, troubleshoot, and resolve production incidents. Perform root cause analysis (RCA) and coordinate escalations as required. Monitor and troubleshoot Kubernetes workloads, pods, deployments, and containers. Collaborate with Development, DevOps, and Engineering teams to ensure high system availability. Develop and maintain automation scripts using Python, Java, C#, PowerShell, or Bash. Support CI/CD pipelines and deployment reliability initiatives. Create and maintain incident documentation, runbooks, and post-mortem reports. Ensure compliance with security and regulatory requirements. Required Skills: - 34 years of experience in Site Reliability Engineering, DevOps, Production Support, or related roles. Hands-on experience with Kubernetes and Docker. Experience with Datadog or similar monitoring tools (Prometheus, Grafana, Splunk, Dynatrace, Recent Relic). Strong troubleshooting and incident management skills. Knowledge of scripting/programming languages such as Python, Java, C#, Bash, or PowerShell. Experience working with AWS, Azure, or GCP cloud platforms. Familiarity with SQL, MySQL, or NoSQL databases. Excellent communication and stakeholder management skills. Preferred Skills: - CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or Azure DevOps. Helm Charts and deployment automation. ITIL processes and Agile methodologies. Fintech, Banking, or Payments domain experience. Knowledge of PCI DSS, ISO 27001, or related compliance standards. Additional Information: - Must be willing to work in a 24/7 rotational support environment. Strong analytical, problem-solving, and collaboration skills are essential. .
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