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Salary: USD 124,000 - 171,000 / annual
Rocket Lab is seeking a Senior DevOps Engineer I to build, operate, and improve the observability platform that provides mission-critical insight into the health and performance of systems supporting space missions. Based in Long Beach, CA at Rocket Lab's global headquarters, this technical role focuses on reliable, scalable telemetry collection, storage, visualization, and alerting across production environments.
You will partner with Space Systems teams to improve monitoring coverage, alert quality, dashboard usability, and operational response. Your work will directly enhance the reliability, performance, and security of software systems supporting space missions including interplanetary exploration, in-space manufacturing, and national security initiatives.
Key responsibilities include:
- Build, operate, and continuously improve the observability stack (Grafana, Grafana Mimir, kube-prometheus-stack, Grafana Alloy)
- Design and maintain scalable metrics collection, ingestion, retention, and query patterns for Kubernetes and cloud-based workloads
- Develop and maintain Grafana dashboards providing actionable insights to engineering teams and leadership
- Design, tune, and maintain alerting and notification workflows that reduce noise and enable timely incident response
- Partner with engineering teams to define service-level indicators, objectives, and monitoring standards
- Improve observability coverage by identifying telemetry gaps and implementing durable instrumentation improvements
- Integrate AWS CloudWatch and CloudTrail telemetry into the observability platform for operational visibility and security monitoring
- Manage observability infrastructure through version-controlled, automated deployments using Terraform, Git, and CI/CD pipelines
- Drive continuous improvement through data-driven analysis of platform reliability and alert effectiveness
- Troubleshoot complex monitoring and alerting issues across AWS and GCP environments
- Work with development teams through code reviews to ensure observability is built in from the start
- Design and implement AI agents that detect, analyze, and troubleshoot software testing failures with minimal human intervention
- Build and maintain AI-powered quality automation ecosystems monitoring CI/CD pipelines across multiple programs and platforms
Qualifications:
- Bachelor's degree in Computer Science, Software Engineering, or other technical discipline
- 5+ years of experience in DevOps, site reliability engineering, platform engineering, or related infrastructure discipline
- Hands-on experience operating and improving production observability and monitoring platforms
- Demonstrated expertise in AI/ML technologies with hands-on experience building AI-driven automation systems
- Experience with AWS and GCP cloud services
- Experience managing infrastructure as code with Terraform and collaborating through Git-based workflows
- U.S. citizenship required due to ITAR program requirements
Nice-to-have qualifications include: Splunk experience, Grafana administration, Time Series Database administration (Grafana Mimir), Prometheus-based monitoring with kube-prometheus-stack, Grafana Alloy configuration, CI/CD pipeline automation tools, DevSecOps practices, Kubernetes operations, cloud networking, security testing tools, aerospace background supporting satellite/spacecraft/constellation operations, Kubecost experience, and GovCloud environment experience.
