Role Summary We are seeking a DevOps Support Engineer with strong experience in production support, Kubernetes, application servers, databases, Linux, monitoring, automation, and cloud technologies. The engineer will support business-critical applications and infrastructure, troubleshoot production issues, perform root-cause analysis, and drive automation and reliability improvements. The role also emphasizes Generative AI and AIOps , using AI tools to accelerate incident triage, log analysis, RCA, scripting, documentation, anomaly detection, and proactive monitoring. Key Requirements 5+ years of experience in DevOps, Production Support, SRE, or Application Operations Strong hands-on experience with Kubernetes, Docker, Helm, and Linux Experience supporting Apache Tomcat and Java applications Working knowledge of MySQL and/or Oracle Strong Python/Bash scripting and automation skills Experience with Prometheus, Grafana, ELK , or similar monitoring platforms Experience with AWS, Azure, or OCI Knowledge of CI/CD , preferably Jenkins or GitHub Actions Experience with Terraform/Ansible is preferred Hands-on experience using ChatGPT, GitHub Copilot, or similar GenAI tools for troubleshooting, automation, scripting, and documentation Understanding of AIOps, intelligent alerting, anomaly detection, automated RCA, and incident correlation Strong production incident management and troubleshooting skills Ability to work in a high-pressure, 24x7 production-support environment Preferred Qualifications Kubernetes CKA/CKAD Cloud certification AI/ML certification Experience with AI APIs, embeddings, or vector databases Experience implementing AI-assisted operational workflows
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