About the role
At Augmodo, we are expanding our global footprint and building a follow-the-sun engineering model. Currently, our core infrastructure team is based in the US Bay Area. As our customer base and engineering cohorts grow internationally—particularly across Europe and Australia—we need an infrastructure engineer stationed in the EU/EMEA time zone.
In this role, you will be the anchor for our European engineering cohort, drive system reliability, and serve as the infrastructure lead during EU business hours. You’ll balance active incident response and system maintenance with long-term infrastructure building.
Key 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.
Core Qualifications
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.
Nice-to-Have
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.
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In this role, you will be the anchor for our European engineering cohort, drive system reliability, and serve as the infrastructure lead during EU business hours. You’ll balance active incident response and system maintenance with long-term infrastructure building.
Key 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.
Core Qualifications
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.
Nice-to-Have
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.
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Requirements
- Engineering