Kubernetes + Python - Senior Engineer

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Job Description Kubernetes & Helm Management

• Design, implement, and maintain Kubernetes clusters across multiple environments (development, staging, production)
• Develop, customize, and deploy Helm charts for Dremio and other products and services
• Troubleshoot and optimize Kubernetes deployments, including resource allocation, scaling, and performance tuning
• Implement and maintain security best practices for Kubernetes workloads and cluster configurations
• Monitor cluster health, resource utilization, and application performance Dremio Platform Management
• Deploy, configure, and manage Dremio clusters on Kubernetes using Helm charts
• Optimize Dremio cluster performance through proper resource allocation, scaling strategies, and cluster tuning
• Monitor Dremio cluster health, query performance, and resource utilization
• Troubleshoot Dremio-specific issues including connectivity, performance bottlenecks, and data source integrations CI/CD Pipeline Development
• Design and implement comprehensive CI/CD pipelines using GitHub Actions for automated testing, building, and deployment
• Integrate Helios workflows into deployment automation processes, particularly for Dremio deployments
• Establish automated testing frameworks and quality gates within deployment pipelines
• Implement infrastructure as code practices using tools like Terraform or similar
• Create and maintain deployment strategies including blue-green, canary, and rolling deployments for Dremio clusters Automation & Process Improvement
• Develop automation scripts and tools to streamline Dremio deployment processes and reduce manual intervention
• Implement monitoring and alerting solutions for Dremio clusters, deployment pipelines, and application health
• Create comprehensive documentation for Dremio deployment procedures, upgrade processes, and troubleshooting guides
• Collaborate with data engineering teams to establish best practices for Dremio configuration and optimization

Required Qualifications Technical Skills

• 3+ years of hands-on experience with Kubernetes in production environments
• Strong proficiency in creating, customizing, and managing Helm charts
• Extensive experience with GitHub Actions for CI/CD pipeline development
• Working knowledge of Helios and its integration with deployment workflows
• Experience with Dremio or similar data lake engines (Trino, Presto) is highly preferred
• Strong scripting skills in Bash, Python
• Experience with monitoring tools (Prometheus, Grafana)

Soft Skills

• Strong problem-solving and troubleshooting abilities, particularly with distributed systems
• Excellent communication skills and ability to work collaboratively with data engineering and analytics teams
• Experience in agile development environments
• Ability to work independently and manage multiple priorities effectively
• Experience with capacity planning and performance optimization

Mandatory Competencies DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes) DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Grafana DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Ansible DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Terraform DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Bamboo Development Tools and Management - Development Tools and Management - CI/CD Cloud & Containers - Container Orchestration - Kubernetes Programming Language - Python - Python Scripting

Perks And Benefits For Irisians Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.