Deployment Systems Engineer

Deploy & Support

• Deploy Nominal in restricted and self-hosted environments.
• Own runbooks, deployment documentation, and customer onboarding.
• Troubleshoot issues in the field.

Work Onsite

• Travel to customer locations including test ranges, manufacturing facilities, and air-gapped data centers.
• Partner directly with customer engineering and IT teams to ensure successful deployments.

Scale Deployments

• Build repeatable deployment patterns across cloud, hybrid, and on-prem environments.
• Reduce complexity and improve reliability as we grow.

Drive Priorities

• Identify the highest-impact infrastructure and deployment challenges.
• Surface risks early and help shape roadmap priorities.

Improve the Platform

• Build observability, automation, and infrastructure tooling that make deployments easier to operate and support.

Make Sound Tradeoffs

• Balance speed, reliability, flexibility, and long-term maintainability when making technical decisions.

Own Outcomes

• Take initiative, solve problems, and know when to escalate.
• Move quickly while maintaining a high bar for quality.

Requirements

• Experience operating production infrastructure, distributed systems, or developer platforms.
• Comfortable in Linux environments, the command line, Kubernetes, and troubleshooting independently.
• Hands-on experience deploying and supporting systems in on-prem, edge, or restricted environments.
• Experience with government or classified environments is a plus.
• Familiarity with security, compliance, and accreditation requirements, including auditability, system hardening, and regulated deployments.
• Able to work directly with customers on complex technical issues, build trust, and navigate difficult tradeoffs while maintaining clear boundaries and expectations.
• Proven ability to turn operational challenges into repeatable processes, documentation, and deployment standards that scale.
• Able to think holistically about infrastructure while digging into root causes and technical details when needed.
• Proactive, resourceful, and comfortable working across teams to drive outcomes in ambiguous environments.
• Must be eligible to obtain and maintain a U.S. TS Clearance.

Nice-to-Haves

• Experience with government or classified environments.

Skills

• Unix/Linux systems
• Kubernetes / kubectl
• MinIO / S3 Object Storage
• Postgres
• Grafana / Prometheus / Loki / Mimir observability stack
• Infrastructure as code

Compensation

The base pay range for this role is $120,000 – $230,000 per year.