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Jobs(26,670)/Infrastructure Engineer Role(175)/augmodo (1) - Infrastructure Engineer
augmodo

augmodo - Infrastructure Engineer

Remote - PT (Pacific)3w ago
RemoteMidNACloud ComputingArtificial IntelligenceInfrastructure EngineerSoftware EngineerGCPKubernetesGoPythonTerraform

Requirements

• 5+ years of experience as a software engineer in a production environment. • Bachelor's degree in computer science, engineering, or math. • 3+ years of hands-on experience running and scaling workloads in Google Cloud Platform (GCP). • 3+ years of experience managing production Kubernetes clusters (GKE experience is a big plus). • Proficiency in Python and Go for building infrastructure automation, APIs, and operational tooling. • Demonstrated experience with Infrastructure as Code (Terraform/Pulumi), CI/CD pipelines, and observability tools (Prometheus, Grafana, Datadog, etc.). • High degree of self-direction and clear async communication skills, with experience thriving in distributed team environments. • Familiarity with hosting, serving, or orchestrating agentic AI systems and LLM workflows. • Experience building and scaling modern data pipelines or stream-processing architectures. • Experience working with early-stage technical companies • WORKING HOURS & OVERLAP • This role is based in the London (BST/GMT) or Central European (CET/CEST) time zones. • Expect a schedule that provides comfortable overlap with the US Bay Area team for syncs/handoffs (typically early afternoon EU / morning PT), while providing critical coverage during EU hours and the start of the APAC business day.

Responsibilities

• Serve as the primary infrastructure contact during EU working hours, extending coverage to support cross-regional needs in APAC (AUS) and EMEA. • Build, scale, and optimize infrastructure dedicated to supporting our growing EMEA teams and regional customer deployments. • Proactively manage system health, monitoring, alerting, and incident response for GCP-based workloads to maintain high availability. • Automate deployments, manage Kubernetes clusters, and build internal tooling that empowers developers to ship code safely and fast. • Establish effective async workflows and handoff protocols with other infrastructure teams to ensure seamless 24/7 continuity.

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