Design and implement self-healing infrastructure that minimizes manual intervention (eliminating "toil").
Define and monitor SLIs, SLOs, and SLAs to ensure mission-critical applications meet performance benchmarks.
Lead the charge in troubleshooting production issues, followed by blameless post-mortems to ensure the same bug never bites twice.
Manage large-scale Kubernetes clusters, focusing on resource optimization, service meshes (Istio), and high-availability configurations.
Build comprehensive monitoring and alerting suites using the ELK stack, Prometheus, Grafana, or New Relic to visualize system health in real-time.

Requirements

2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience.
Advanced knowledge of Kubernetes (operators, helm charts, and cluster scaling).
Strong proficiency in Python, Go, or Ruby for automating operational tasks.
Proven experience with Terraform or Pulumi in an AWS or Azure environment.
Deep understanding of Linux internals (networking, storage, and kernel tuning).
Familiarity with hardening systems according to STIGs or CIS benchmarks.
Must possess an active US level Secret clearance with the ability to qualify for a TS/SCI clearance.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

KubernetesPythonGoRubyTerraformPulumiAWSAzureLinux internalsmonitoring and alerting

Soft Skills

troubleshootingleadershipblameless post-mortemsresource optimization

Certifications

US Secret clearanceTS/SCI clearance