Customer Support Engineer (ComD092)
Defense Unicorns
| Company | Defense Unicorns |
| Category | Engineering |
| Location | United States - Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 5 May 2025 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.
Role Description:
At Defense Unicorns, we build software for environments where failure isn't an option — and our customers expect support to match. As a Support Engineer, you're not reading from a script or routing tickets into a void. You're the person who actually understands what's broken, why it's broken, and how to fix it. You'll work directly with technical customers to troubleshoot complex issues across Kubernetes, cloud infrastructure, and CI/CD pipelines — and when something needs to go to engineering, you'll hand it off with enough context that they can move fast. If you like hard problems, honest conversations, and work that actually matters, you'll fit right in.
Responsibilities:
As a primary technical contact for customer issues, you will own problems from the first report through resolution. You'll work hands-on with customer environments, partner closely with engineering and our Customer Success Team when escalations warrant it, and continuously improve the systems and documentation that make the whole support function better.
Customer Support & Issue Resolution:
Serve as a primary technical point of contact for customer-reported issues via ticketing system, Slack, and email
Troubleshoot complex issues across Linux environments, Kubernetes clusters (EKS, AKS, RKE2, K3s, OpenShift), cloud infrastructure (AWS/Azure/GCP), and CI/CD pipelines
Diagnose problems spanning hybrid cloud architectures — networking, RBAC, storage, and cluster lifecycle — across both cloud and on-prem environments
Own escalated issues end-to-end — from triage and reproduction through resolution and post-mortem documentation, meeting defined SLA commitments
Reproduce customer issues in test environments and characterize root causes with enough precision to accelerate engineering investigations
Provide on-call support when the mission demands it
Communicate clearly with customers on issue status, timelines, and workarounds
Technical Enablement & Knowledge Management:
Write and maintain runbooks, escalation playbooks, and knowledge base articles that reduce repeat escalations
Identify patterns in customer issues and surface product and documentation gaps to engineering and product teams
Participate in on-call rotations and contribute to post-incident reviews
Team Contribution:
Review and provide feedback on Tier 1 escalations before they reach engineering
Collaborate cross-functionally with Customer Success, Platform Engineering, and Product teams
Contribute to process improvements that increase support team efficiency and customer satisfaction
Success Metrics:
Time-to-resolution across assigned customer issues
Escalation quality — engineering can act on what you hand them
Customer satisfaction scores
Knowledge base coverage and reduction in repeat escalations
On-call performance and incident contribution
The listed responsibilities are not exhaustive and additional responsibilities may be assigned or discovered based on the evolving needs of the organization. The successful candidate is a dynamic individual who is able to adapt and take on new responsibilities as they arise. You will be expected not just to fill gaps as they arise, but proactively identify and take ownership of gaps to drive toward new processes and solutions.
Preferred Experience and Qualifications:
2–5 years of experience in technical support, DevOps, SRE, or a related engineering role
Solid Linux proficiency — log analysis, process debugging, and system performance troubleshooting
Hands-on experience with Kubernetes — deploying workloads, troubleshooting pods, reading cluster state across managed distributions (EKS, AKS) and on-prem (RKE2, K3s, OpenShift)
Strong knowledge of hybrid cloud architectures, including networking, RBAC, and storag