Systems Engineer - IV (Pipeline Architecture)

Hybrid in Kirkland, WA, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
12 Months
Hybrid
$75 - $80/hr
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Summary

HonorVet Technologies is a Service Disable Veteran-Owned IT staffing firm, ISO 9001, and ISO 27001 certified, working with federal agencies, state governments, and Fortune 500 enterprise clients across the US. What makes us different isn''t a tagline; it''s the way we work. We don''t forward resumes and hope for the best. We take the time to understand where a professional like you are headed and only reach out when we genuinely believe there''s a fit worth exploring. I came across your profile, and something stood out.
 
Job Title: Systems Engineer - IV (Pipeline Architecture)
Location: Flexible (Hybrid) - 2-3 days in the office at San Diego, CA or Kirkland, WA office.
Duration: 12 months to start with the possibility of extension


Overview:
This Staff Systems Engineer role owns strategy and execution for client''s critical developer platforms, including enterprise GitLab supporting 3,000+ users and JFrog Artifactory. The role leads cloud-native transformation, mentors team members, and establishes technical direction for platform engineering.

What You Will Do:
  • Own operational strategy and technical direction for GitLab and Artifactory platforms
  • Lead cloud-native transformations, Kubernetes migrations, and GitOps adoption
  • Drive architecture for multi-region high-availability deployments and active-active patterns
  • Design self-healing systems with automated remediation and chaos engineering practices
  • Establish cloud-native best practices, including 12-factor apps, containerization, and observability
  • Mentor team members on automation patterns and cloud-native architectures
  • Influence organizational standards for platform engineering and developer experience
  • Evaluate emerging technologies, including AI-assisted operations, eBPF, and service mesh
  • Define and track SLIs, SLOs, and SLAs with a continuous improvement focus
Skills: Required:
  • BS in computer science or equivalent experience
  • 7+ years operating and architecting enterprise-scale platforms
  • 5+ years of self-managed GitLab experience, including Geo, high availability, and disaster recovery
  • 5+ years of Artifactory experience, including Hub/Edge, federation, and enterprise deployments
  • 3+ years of deep Kubernetes experience, including operators, CRDs, service mesh, and multi-cluster environments
  • 7+ years of expert Linux experience, including kernel, networking, and performance tuning
  • PostgreSQL high availability experience, such as Patroni, and advanced networking knowledge, including BGP, anycast, and zero-trust architectures
Additional Requirements:
Cloud-Native Expertise
  • Deep knowledge of cloud computing, infrastructure, and architecture patterns
  • Experience with major cloud providers, including AWS, Azure, and Google Cloud Platform, and their managed services
  • Experience with cloud-native tooling, including Kubernetes operators, Helm, ArgoCD, and Flux
  • Experience with service mesh technologies, including Istio, and infrastructure-as-code tools, including Terraform
  • Experience with cloud-native observability, including Prometheus, and distributed tracing
  • Experience with cloud-native security, including OPA, Trivy, and SBOM practices
  • Production-grade automation experience with Python, Go, and Bash
  • CI/CD platform design experience at scale
  • Experience with FedRAMP IL4/IL5
  • Proven mentorship and team development experience
  • Strong communication and cross-team influence skills
  • Growth mindset, humility, and commitment to continuous development
Preferred
  • Open-source contributions to Kubernetes, GitLab, or Artifactory projects
  • Experience with eBPF observability/security, WebAssembly, or MLOps
  • Published technical writing or conference talks
  • Developer platform or platform-as-a-service experience
  • SRE practices and chaos engineering experience.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90941473
  • Position Id: 26-17446
  • Posted 10 hours ago
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