Senior DevOps Engineer I

Job summary

Build and operate a scalable observability platform that helps engineering teams monitor the reliability, performance, and security of software systems supporting space missions. The role covers telemetry collection and analysis, dashboards, alerting, and infrastructure automation across AWS, GCP, and Kubernetes, using tools such as Grafana, Terraform, and CI/CD pipelines. It also develops AI agents and automation to detect and troubleshoot software testing failures.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or another technical discipline.
• At least five 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 and experience building AI-driven automation systems.
• Experience with AWS and GCP services.
• Experience managing infrastructure as code with Terraform and collaborating through Git-based workflows.
• U.S. citizenship is required due to program requirements.

Responsibilities

• Build, operate, and improve the observability stack using Grafana, Grafana Mimir, kube-prometheus-stack, and Grafana Alloy.
• Design scalable metrics collection, ingestion, retention, and query patterns for Kubernetes and cloud workloads.
• Develop dashboards and tune alerts to support actionable monitoring and effective incident response.
• Define service-level indicators, service-level objectives, and monitoring standards with engineering teams.
• Identify telemetry gaps and implement durable instrumentation and monitoring improvements.
• Integrate AWS CloudWatch and CloudTrail telemetry for operational visibility, security monitoring, and troubleshooting.
• Automate observability infrastructure deployments using Terraform, Git, and CI/CD pipelines.
• Troubleshoot monitoring and telemetry issues across AWS and GCP.
• Design AI agents to detect, analyze, and troubleshoot software testing failures.
• Build AI-powered quality automation to monitor CI/CD pipelines across programs and platforms.

Skills

Degrees

Industry

Relocation