Infrastructure Engineer
Jobposting
London, UK
11 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Python (Programming Language)
Prometheus
Datadog
Pulumi
Google Cloud
System Availability
Large Language Models
Grafana
Kubernetes
Infrastructure Automation Frameworks
Information Technology
+4 more
Deployment Automation
Terraform
Stream Processing
Data Pipelines
Job description
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., * 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.
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.
Nice-to-Have
- Experience building and scaling modern data pipelines or stream-processing architectures.
- Experience working with early-stage technical companies
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