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Comet

Deployment Engineer

Comet

. Work directly with customers to understand their infrastructure and deployment requirements .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $150,000 - $200,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deploying and maintaining applications across Kubernetes and cloud environments, with strong troubleshooting skills in infrastructure and deployment issues. Proficient in using AI tools for development and automation while effectively communicating complex technical topics to customers.

Highest-signal resume keywords
KubernetesHelmTerraformAWS Cloud InfrastructureInfrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KubernetesHelmTerraformLinuxNetworkingTroubleshootingCloud ServicesApplication ConfigurationCI/CDGitOps
Soft Skills
Excellent Communication SkillsCustomer-Facing Experience
Tools & Technologies
AI ToolsMonitoring ToolsObservability Tools
Industry Keywords
Infrastructure as CodeMulti-Cloud DeploymentOn-Premises DeploymentMLOpsStartup Experience

Tech Stack

Tools & technologies
AWSCloudKubernetesLinuxTerraform

About the role

Key responsibilities & impact
  • Work directly with customers to understand their infrastructure and deployment requirements
  • Deploy and maintain Comet across Kubernetes and cloud environments
  • Troubleshoot complex infrastructure and deployment issues across Kubernetes, networking, cloud services, databases, and application configuration
  • Own customer issues from investigation through resolution, collaborating with Engineering, Support, Customer Success, and other teams when needed
  • Develop and improve Helm charts, Terraform, deployment tooling, automation, and documentation
  • Participate in technical customer calls and explain complex topics clearly
  • Use AI tools for troubleshooting, development, automation, and investigation while validating results and maintaining engineering judgment

Requirements

What you’ll need
  • Located in the East or Central USA only
  • Proven customer-facing technical experience is essential
  • Proven experience using AI tools in real engineering workflows, with the ability to critically evaluate and validate their output
  • Strong hands-on experience with Kubernetes, Helm, and containerized applications
  • Production experience with cloud infrastructure, preferably AWS
  • Experience with Infrastructure as Code, preferably Terraform
  • Strong Linux, networking, and infrastructure troubleshooting skills
  • Experience troubleshooting production systems using logs, metrics, and monitoring/observability tools
  • Excellent written and verbal communication skills
  • Enterprise or self-hosted software experience (nice to have)
  • Multi-cloud or on-premises deployment experience (nice to have)
  • CI/CD and GitOps experience (nice to have)
  • MLOps or AI infrastructure experience (nice to have)
  • Software development experience (nice to have)
  • Startup experience (nice to have)

Benefits

Comp & perks
  • Competitive benefits package
  • Flexible working hours and remote work options
  • Opportunities for professional growth and development
  • A collaborative and innovative work environment
  • The chance to work with cutting-edge technologies and projects