Description

Key Responsibilities:

• Support, maintain, and troubleshoot applications deployed on Red Hat OpenShift Container Platform (OCP).
• Manage and troubleshoot containerized workloads running on OpenShift/Kubernetes.
• Support application deployments and maintain CI/CD pipelines.
• Troubleshoot application, container, infrastructure, database, and environment-related issues.
• Work with PostgreSQL databases for application support, connectivity, SQL troubleshooting, and performance/health monitoring.
• Review existing application and technical documentation to build a comprehensive understanding of the application and its dependencies.
• Learn the application from scratch through documentation, configurations, logs, deployment pipelines, and hands-on investigation.
• Automate operational and deployment activities using scripting and Infrastructure as Code where applicable.
• Collaborate with application development, infrastructure, database, and production support teams.
• Maintain and improve operational documentation, runbooks, and support procedures.
• Identify opportunities to improve automation, monitoring, platform stability, and operational efficiency.

Core / Must-Have Skills:
Approximately 5 to 6 years of DevOps / Cloud / Platform Engineering experience.
Strong hands-on experience with Red Hat OpenShift Container Platform (OCP).
Good understanding of Kubernetes and container technologies.
Hands-on experience with:

• OpenShift / OCP
• Kubernetes
• Docker / containers
• CI/CD pipelines
• Git / source control
• Linux/Unix
• Shell/Bash/Python or similar scripting
• Good working knowledge of PostgreSQL, including:
• SQL queries
• Database connectivity
• Application/database troubleshooting
• Monitoring and basic performance troubleshooting
• Experience troubleshooting applications deployed in containerized environments.
• Strong analytical and problem-solving skills.
• Ability and willingness to review technical documentation and learn an unfamiliar application from scratch.
• Self-driven with the ability to independently investigate issues and progressively develop application expertise.

Nice-to-Have Skills:

• Exposure to Generative AI / Large Language Models (LLMs).
• Familiarity with AI/LLM APIs or AI-enabled applications.
• Exposure to Azure OpenAI, Amazon Bedrock, OpenAI APIs, or similar technologies.
• Experience with observability/monitoring platforms such as Splunk, Dynatrace, Grafana, or Prometheus.
• Infrastructure as Code experience, such as Terraform or Ansible.
• Experience supporting production or business-critical applications

Key Skills

Education

Any Gradute