Senior Infrastructure Engineer

Quartermaster • Arlington, VA

1d

About The Position

Quartermaster is hiring a Senior Internal Infrastructure Engineer to design and operate internal platform infrastructure across AWS and Azure. The role partners with engineering and security to improve GitOps delivery, infrastructure as code, Kubernetes operations, observability, edge networking, and support for IoT, streaming, and ML workloads in remote sensor systems.

The engineer will build durable platforms and workflows, move quickly before optimizing, actively use and improve AI-assisted workflows, establish safe guardrails and feedback loops, and empower engineering users through self-service capabilities, paved roads, and documentation. Success is measured by faster lead time, lower change failure rate, improved MTTR, secure and auditable infrastructure changes, and reliable operation of IoT, streaming, edge, remote sensor, and ML workloads.

Requirements

• At least 7 years in infrastructure, platform, or SRE roles, with direct ownership of production systems.
• Deep Azure experience, including high-security and regulated environments.
• Practical AWS experience, especially with IoT services, Kinesis, and event or stream-processing architectures.
• Expert-level Kubernetes operations experience and strong Helm experience.
• Strong GitOps background and a track record of improving delivery safety and speed.
• Strong infrastructure-as-code expertise with OpenTofu or Terraform and policy-oriented workflows.
• Strong experience with observability platforms 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 in cloud and edge environments.
• Security depth in IAM, network segmentation, zero trust, secrets management, encryption, and policy as code.
• Evidence of functionality-first thinking and comfort with AI-augmented engineering workflows.

Nice To Haves

• Deep Azure experience in high-security and regulated environments, with Azure Government strongly preferred.
• Experience with Grafana observability platforms.
• Experience with FedRAMP, NIST 800-53, CMMC, IL4/IL5, or similar frameworks.
• Experience with service meshes, policy engines such as OPA/Gatekeeper, workload identity, and software supply chain controls such as SBOM practices.
• Experience with multi-cluster or hybrid cloud/edge Kubernetes topologies.

Responsibilities

• Architect and operate secure, multi-environment infrastructure across AWS, AWS Gov, Azure, and Azure Gov.
• Build GitOps pipelines and reusable OpenTofu or compatible infrastructure-as-code modules with strong CI validation.
• Operate Kubernetes platforms, including Helm, and improve reliability through SLOs, postmortems, and automation.
• Build observability using Grafana and modern telemetry, including metrics, logs, traces, and alerting.
• Operate edge networking and 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.
• Develop durable platforms, workflows, self-service capabilities, paved roads, guardrails, feedback loops, and documentation that help engineering teams deliver effectively.
• Use and improve AI-assisted workflows for infrastructure design, operations, troubleshooting, and developer productivity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed