Engineer, Cloud Operations

Who We Are & Why Join Us

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. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.

Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.

Learn more at: avathon.com

 

We are 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 underneath them run across GCP, AWS and Azure, in customer-managed Kubernetes clusters, and on edge deployments at remote and air-gapped sites. You will lead the team responsible for reliability, security, cost and deployment across all of these environments. This is a hands-on role. You will 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 our 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, and drive fixes to closure
- Build runbooks and on-call practices that let the team 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 to single-tenant and on-premise customer environments - Support edge and air-gapped deployments of Avathon Data Ingest (ADI), including packaging, upgrades and remote configuration