NorthwoodSpace Infrastructure Engineer at NorthwoodSpace to own and operate cloud infrastructure stack including Kubernetes clusters and networking. Responsible for infrastructure as code and cloud-side networking implementation.
Responsibilities
Own and operate all components of the cloud infrastructure stack: cloud accounts, hosted k8s clusters, CA, secrets, IAM, the observability pipeline. Take a defined scope and execute it without ongoing oversight.
Build and maintain infrastructure as code. Define and implement GitOps practices and proper CI gates to test, audit, and approve infrastructure changes.
Implement cloud-side networking: VPCs, transit route tables, VPNs and Direct Connect attachments, egress and ingress inspection. Partner with the network engineering on cloud to site handoff.
Carry on-call for the cloud stack. Resolve the majority of incidents independently and run post-incident reviews for the ones you own.
Partner with security engineering and compliance on controls implementation in your areas: policies, IAM boundaries, logging coverage, evidence collection, CVE mitigation.
Treat toil as a design signal. When manual work repeats, automate it or fix the underlying system.
Write and maintain runbooks, design docs, and component documentation. Keep them current with the system.
Collaborate across infrastructure, platform software, security, and ground station operations on cross-cutting work.
Qualification
Depth in cloudStrong IaC experienceWorking competence across LinuxComfortable in code (PythonStrong technical writingSecrets and identity infrastructureObservability at scaleEKSCloudflareCompliance partnership
Required
2–5 years of production infrastructure experience (SRE, DevOps, platform, cloud, or systems engineering). See Levels below for what we expect across that range.
Depth in cloud: multi-account organizations, IAM, VPC networking, EKS or equivalent managed Kubernetes.
Strong IaC experience: state management, CI-driven plan and apply, working in a shared monorepo with other engineers.
Working competence across Linux, networking fundamentals, containers and Kubernetes, CI/CD pipelines, and observability tooling.
Demonstrated end-to-end ownership of a production system: design, implementation, operation.
On-call experience in a production environment with measurable reliability outcomes.
Comfortable in code (Python, Go, or similar) for automation, tooling, and integration work.