Job Description
Infrastructure Engineer | Remote
We're looking for an infrastructure engineer who can own and scale cloud-native systems in production. You'll manage Kubernetes clusters, optimize distributed databases, and build self-service tools that let dev teams move fast without breaking things.
What you'll actually do :
- Manage cloud infrastructure (AWS / GCP / Azure) using IaC — Terraform, Helm, FluxCD / ArgoCD
- Handle distributed database backup / restore operations at scale
- Right-size resources based on real usage data and optimize cloud spend
- Build observability frameworks (logs, metrics, traces) and respond to incidents
- Cut permission boundaries so teams can self-manage without creating security holes
- Simplify Kubernetes complexity — consolidate configs, eliminate drift
You're a good fit if you :
Have strong Linux fundamentals and can debug distributed systemsCode fluently in Python or Go for automation and toolingHave real production experience with Kubernetes at scale (not just deployed a cluster once)Understand cloud networking, service meshes, and tunneling techHave done serious database backup / restore work in distributed environmentsShip infrastructure improvements, not just maintain what existsHave a GitHub, blog, or portfolio that shows you actually build thingsWhat matters :
4+ years running production infrastructureExperience with observability tools (Datadog, Prometheus, Grafana)CI / CD systems (GitLab / GitHub)Strong communication — you'll work across teamsRemote, US-based. Must be a US citizen.
Requirements
distributed systems / databases backup & restore, maintenance of the cloud infrastructure & Kubernetes clusters, and DevOps. The ideal candidate doesn't need to be a cloud architect, but they need to have great technical foundations with operating systems, in particular Linux. Source, assess, and close top technical talent with urgency and precision. Build processes, pipelines, and recruiting infrastructure from scratch, suited for a high-intensity early-stage team. Help define what “high-bar” talent looks like and maintain that standard as the team scales.