Manage and support containerized workloads using Docker, Kubernetes, and OpenShift, ensuring optimal performance and reliability.
Design and implement observability solutions with Elastic Stack (ELK) and Elastic SIEM, monitoring system health and performance across cloud platforms.
Support cloud infrastructure on AWS, Azure, or GCP, and assist with cloud migration and container platform modernization initiatives.
Develop automation scripts in Python to streamline operational processes and enhance efficiency.
Implement and maintain Infrastructure as Code (IaC) using Terraform and Ansible, promoting consistency and repeatability.
Build and optimize CI/CD pipelines for application deployment, ensuring smooth and efficient platform operations.
Perform incident management, root cause analysis, and problem resolution, maintaining high service availability.
Enhance platform stability and operational excellence through SRE best practices, driving continuous improvement.
Integrate AI/ML and LLM-based capabilities into monitoring workflows, leveraging advanced technologies for better insights.
Collaborate closely with development, infrastructure, and security teams to ensure service reliability and a seamless user experience.
Qualifications
Expertise in Docker, Kubernetes, and OpenShift, with hands-on experience in container orchestration and management.
Strong knowledge of Linux administration and container & platform technologies.
Proficiency in observability and monitoring tools, including ELK Stack (Elasticsearch, Logstash, Kibana), Elastic SIEM, and Elastic Observability.
Experience with cloud technologies and cloud infrastructure operations, preferably AWS, Azure, or GCP.
Python scripting skills for automation and operational efficiency.
Familiarity with Terraform and Ansible for Infrastructure as Code (IaC) implementation.
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