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Lead Engineer, Cloud Operations

Avathon · Pleasanton, California, United States

hybridsenior$160,000–$220,000Posted Oct 9, 2026AWSGCPAzureKubernetesTerraformHelmPrometheusGrafana

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About this role

## Lead Engineer, Cloud Operations ### Who We Are **Avathon** is the leading Industrial AI autonomy platform, helping customers across heavy industries—energy, mining, manufacturing, aerospace, defense, and logistics—accelerate the journey toward autonomous operations. Our platform is built on a **Computational Knowledge Graph** foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. ### The Role We’re hiring a **Lead Engineer, Cloud Operations** to own how the Avathon platform runs in production. Our applications (Asset Performance Management, Supply Chain, Global Trade Management, and Machine Vision) and the shared data, model, and intelligence layers run across **GCP, AWS, and Azure**—in **customer-managed Kubernetes clusters** and on **edge deployments** at remote and air-gapped sites. This is a **hands-on** role. You’ll design infrastructure, write automation, share on-call with your team, and set the operating standards the rest of engineering follows. ### Responsibilities **Platform Reliability and Operations** - Own uptime, performance, and incident response for SaaS environments and customer-hosted deployments - Define SLOs, monitoring, and alerting across application services, data pipelines, and model serving - Run incident management and blameless postmortems; drive fixes to closure - Build runbooks and on-call practices to support customers across time zones **Infrastructure and Automation** - Design and manage multi-cloud infrastructure on GCP, AWS, and Azure using infrastructure as code - Run and scale Kubernetes (GKE, EKS, AKS) for application services, data pipelines, and GPU inference workloads - Own CI/CD and release processes so teams can ship safely and often (including single-tenant and on-premise customer environments) - Support edge and air-gapped deployments of Avathon Data Ingest (ADI), including packaging, upgrades, and remote configuration **Security, Compliance, and Cost** - Own cloud security baselines: identity and access, network segmentation, secrets, encryption, and audit logging - Support customer security reviews and compliance programs (including regulated and defense customers) - Track and reduce cloud spend, including GPU and storage, with clear cost allocation by product and customer - Plan capacity for growth in data volume, tenants, and model workloads **Team Leadership** - Lead and grow a team of cloud and DevOps engineers; set priorities, review work, and mentor - Partner with product engineering, data, and ML teams on architecture decisions that affect operability - Work with forward deployed and customer success teams to stand up new customer environments and support go-lives - Report on reliability, incidents, and cost to engineering leadership ### Key Qualifications - Bachelor’s degree in Computer Science/Engineering (or equivalent experience) - **8+ years** in cloud infrastructure, SRE, or DevOps roles, including **3+ years leading engineers** - Deep hands-on experience with at least **two** of GCP, AWS, and Azure - Production experience running **Kubernetes at scale** (Helm and container tooling) - Strong infrastructure-as-code skills (Terraform or similar) - Experience building **CI/CD pipelines** and release automation (GitHub Actions, Bitbu

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