Senior DevOps Engineer I

Rocket Lab Corporation•Littleton, CO

2d•$114,000 - $157,000•Onsite

About The Position

Rocket Lab is seeking a Senior DevOps Engineer I for its site in Littleton, Colorado. The role is part of the DevSecOps organization and is responsible for building, operating, and improving the observability platform used to provide actionable insight into the health and performance of mission-critical systems. The position focuses on reliable, scalable telemetry collection, storage, visualization, and alerting across environments. The engineer will work with Space Systems teams to improve monitoring coverage, alert quality, dashboard usability, and operational response. The work supports the reliability, performance, and security of software systems used for space missions. The role also includes developing AI agents to detect, analyze, and troubleshoot software testing failures, and building AI-powered quality automation for CI/CD pipelines across programs and platforms.

Requirements

Bachelor's degree in Computer Science, Software Engineering, or another technical discipline.
At least 5 years of experience in DevOps, site reliability engineering, platform engineering, or a related infrastructure discipline.
Hands-on experience operating and improving production observability and monitoring platforms.
Demonstrated expertise in AI/ML technologies and 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 is required due to program requirements.

Nice To Haves

Experience with Splunk.
Experience administering and configuring data visualization and analytics platforms, such as Grafana.
Administration experience with time-series databases, such as Grafana Mimir.
Strong problem-solving skills, an automation-first mindset, and a track record of improving reliability in production environments.
Experience deploying and managing Prometheus-based monitoring with kube-prometheus-stack.
Experience configuring and operating Grafana Alloy for telemetry collection and forwarding.
Strong understanding of CI/CD pipeline automation tools, DevSecOps practices, and Kubernetes operations.
Experience with cloud networking concepts and troubleshooting.
Experience building dashboards using tools like Grafana, Kibana, or custom visualization frameworks.
Knowledge of security testing tools and DevSecOps security practices.
Aerospace background supporting satellite, spacecraft, constellation, or launch vehicle ground or mission operations.
Expertise in Git-based workflows, CI/CD pipelines, and Kubernetes orchestration.
Experience with observability and monitoring tools.
Experience with Kubecost.
Experience operating and building solutions within a GovCloud environment.

Responsibilities

Build, operate, and continuously improve the observability stack, including Grafana, Grafana Mimir, kube-prometheus-stack, and Grafana Alloy.
Design and maintain scalable metrics collection, ingestion, retention, and query patterns for Kubernetes and cloud-based workloads.
Develop and maintain Grafana dashboards that provide actionable insights to engineering teams and leadership.
Design, tune, and maintain alerting and notification workflows that reduce noise and enable timely, effective incident response.
Partner with engineering teams to define meaningful service-level indicators, service-level objectives, and monitoring standards.
Improve observability coverage by identifying telemetry gaps, analyzing trends, and implementing durable instrumentation and monitoring improvements.
Integrate AWS CloudWatch and CloudTrail telemetry into the observability platform to support operational visibility, security monitoring, and troubleshooting.
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, telemetry quality, dashboard adoption, and alert effectiveness.
Troubleshoot complex monitoring, telemetry, and alerting issues across AWS and GCP environments.
Work with development teams through code reviews and integrated pipelines 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 that monitor CI/CD pipelines across multiple programs and platforms.