Mandatory skills
- Red Hat OpenShift – Deploying, managing, and supporting containerized enterprise platforms and applications, including Cloud Pak for Data and H2O.ai.
- Red Hat Enterprise Linux (RHEL) – Administration, patching, troubleshooting, hardening, and performance tuning of enterprise Linux environments.
- Elastic Stack (ELK) – Managing centralized logging, observability, monitoring dashboards, indices, and alerting pipelines.
Good to have but not a must
- Confluent / Apache Kafka – Building and maintaining real-time event streaming and distributed data pipelines.
- GitLab – Managing source control, CI/CD pipelines, release automation, and DevOps workflows.
- Tableau – Developing interactive dashboards and data visualizations for operational and business insights.
Ways of Working
- Seasoned infrastructure and platform engineering professional with strong expertise across containerization, enterprise Linux, DevOps, and data technologies.
- Extensive hands-on experience with Red Hat OpenShift and RHEL, supporting mission-critical enterprise platforms with a focus on scalability, reliability, performance tuning, and operational stability.
- Skilled in observability and real-time data streaming using Elastic Stack and Confluent/Kafka to deliver centralized monitoring, alerting, and high-throughput distributed data pipelines.
- Experienced in leveraging GitLab for CI/CD automation and DevOps best practices, while using Tableau to transform complex datasets into actionable insights for technical and business stakeholders.
- Strong background in platform operations, including incident management, system health monitoring, capacity planning, SLA management, and production support, with the ability to provide technical leadership and mentorship across engineering teams.
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