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Customer Support Engineer (ComD092)

Defense Unicorns
CompanyDefense Unicorns
CategoryEngineering
LocationUnited States - Remote
RemoteRemote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted5 May 2025
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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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
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