• 100% Remote (US or Canada only)
• Series A Startup
• Base Salary + Equity + comprehensive benefits

• External Client Facing (Technical Support - Solutions Engineering)
• Kubernetes (Admin - Ops, Integrating into Kubernetes, Tooling)
• CLI expertise (Bash, Shell, Python, Go)

Support, Troubleshoot, and Optimize Solutions:

• Lead customer support engagements ensuring seamless product implementation & ongoing stability
• Provide in-depth troubleshooting for complex Kubernetes environments and configurations
• Build tooling to automate diagnostics, monitoring, and remediation procedures

Master Cloud-Native Technologies and Services:

• Maintain deep expertise in Kubernetes administration, operations, and configuration management
• Understand underlying technologies and infrastructure components to provide comprehensive support
• Stay current with industry trends to provide innovative, informed guidance and solutions to clients

Technical Content Creation - Documentation - Best Practices:

Develop practical, actionable high-quality technical content including:

• Solution Guides, Troubleshooting Playbooks, Reusable Sample Code, blog posts
• Comprehensive documentation for common deployment scenarios and configuration changes
• Empower clients in overcoming technical challenges

• Guide clients through configuration changes and deployment strategies
• Provide expert advice on IaC implementation and maintenance
• Support clients with deployment optimization and scaling strategies

• 5+ years in systems engineering, software engineering or solution engineer, or similar

Kubernetes

• 2+ years focused on Kubernetes or cloud-native platforms
• Knowledge/understanding of Designing, Deploying & Managing AKS, EKS, GKE

• Absolute comfort at the bash prompt
• IaC expertise (Terraform)
• Python, Golang scripting proficiency

• Understanding of Hybrid or multi-cloud architectures
• Excellent communication skills, with an ability to convey technical solutions effectively to varied stakeholders
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related