Quartermaster

Senior Internal Infrastructure Engineer

Quartermaster

full-time

Posted on:

Location Type: Hybrid

Location: ArlingtonVirginiaUnited States

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About the role

  • Architect and operate secure, multi-environment infrastructure across Azure, Azure Gov, and AWS.
  • Build GitOps pipelines and reusable OpenTofu (Terraform-compatible) modules with strong CI validation.
  • Operate Kubernetes platforms (including Helm) and improve reliability through SLOs, postmortems, and automation.
  • Build observability with Grafana and modern telemetry (metrics, logs, traces, and alerting).
  • Operate edge networking plus IoT and streaming pipelines (including AWS IoT and Kinesis) for remote sensor data.
  • Support secure ML workloads and strengthen platform security across identity, secrets, policy, hardening, and compliance controls.

Requirements

  • 7+ years in infrastructure/platform/SRE roles with direct ownership of production systems.
  • Deep Azure experience, including high-security and regulated environments (Azure Government strongly preferred).
  • Practical AWS experience, especially with IoT services, Kinesis, and event/stream-processing architectures.
  • Expert-level Kubernetes operations experience and strong Helm experience.
  • Strong GitOps background and a track record improving delivery safety and speed.
  • Strong infrastructure-as-code expertise with OpenTofu/Terraform and policy-oriented workflows.
  • Strong observability experience with Grafana and modern telemetry practices.
  • Experience with edge networking, distributed edge deployments, and remote sensor telemetry pipelines.
  • Experience supporting ML/AI workloads and secure data processing at cloud and edge.
  • Demonstrated security depth in IAM, network segmentation, zero trust, secrets management, encryption, and policy as code.
  • Clear evidence of automation-first thinking and comfort with AI-augmented engineering workflows.
  • Nice to Have: Experience with FedRAMP, NIST 800-53, CMMC, IL4/IL5, or similar frameworks.
  • Experience with service meshes, policy engines (for example, OPA/Gatekeeper), workload identity, and software supply chain controls (for example, SBOM practices).
  • Experience with multi-cluster or hybrid cloud/edge Kubernetes topologies.
Benefits
  • Build systems that produce work: prioritize durable platforms and workflows over one-off heroics.
  • Automation first: eliminate repetitive manual operations through code, policy, and self-service tooling.
  • AI-augmented execution: actively use and improve AI-assisted workflows for infrastructure design, operations, troubleshooting, and developer productivity.
  • Safe agency: create clear guardrails, defaults, and feedback loops so engineers can move quickly with confidence.
  • Empower engineering users: build self-service platform capabilities, paved roads, and documentation that reduce friction and accelerate delivery.
Applicant Tracking System Keywords

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

Hard Skills & Tools
AzureAWSKubernetesHelmGitOpsOpenTofuTerraformGrafanaIoTML/AI
Soft Skills
automation-first thinkingdelivery safetydelivery speedsecurity depth