Infrastructure Engineer

Job not on LinkedIn

🔥 5 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 18%

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Logo of Augmodo

Augmodo

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Augmodo is a technology company that specializes in enhancing retail operations through its innovative solutions. With a focus on leveraging spatial AI, Augmodo provides real-time tracking and insights into store conditions, enabling brands to optimize inventory management and improve associate efficiency. Their unique Smartbadge™ technology allows for passive supervision and data gathering without sacrificing employee privacy or requiring significant operational changes, ensuring a smoother experience for retail workers and shoppers alike.

📋 Description

• 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 supporting 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 enables developers to ship code safely and quickly • Establish async workflows and handoff protocols with infrastructure teams for seamless 24/7 continuity • Act as the infrastructure lead during EU business hours while balancing incident response, system maintenance, and long-term infrastructure development

🎯 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 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 • Role based in the London (BST/GMT) or Central European (CET/CEST) time zones • Comfortable overlap with the US Bay Area team for syncs/handoffs and coverage during EU hours and the start of the APAC business day

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