Cloud Infrastructure Architect interfacing with clients to develop cloud - based solutions. Collaborating with AWS specialists within a team environment to enhance IT infrastructure.
About the role
- Senior Internal Infrastructure Engineer at Quartermaster building secure systems across Azure and AWS. Involves designing multi-environment infrastructure, improving delivery and security in cloud services.
Responsibilities
- 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.
Benefits
- Security clearance eligibility
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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