
Senior Internal Infrastructure Engineer
Quartermaster
full-time
Posted on:
Location Type: Hybrid
Location: Arlington • Virginia • United States
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Job Level
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