DevOps Engineer

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

 

Position Summary:

We are seeking an experienced DevOps Engineer to join our dynamic team operating in an agile development environment. The ideal candidate will have a solid foundation in DevOps across building software pipelines, creating repeatable deployments, and experience with various infrastructure components in the cloud. As a Sr. DevOps Engineer you will be working closely with team members across domains with deep technical skills and passion for AI.

You Will:

• Design and continuously improve the infrastructure for cloud-based services and client interfaces
• Manage the day-to-day operations of our build, testing, and continuous integration environment
• Work with internal IT, Software Engineers, Cloud Architects, and fellow DevOps Engineers to build & maintain dev & prod environments
• Implement best practices for always-up, always-available services
• Proactively communicate project & task status to project stakeholders
• Occasional on-call support and customer meetings may include irregular hours as needed

You'll Have Skills:

• Kubernetes Architecture & Operations: 2+ years of experience managing production-grade clusters (GKE preferred), including expertise in K8s internals, Helm chart creation, Service Mesh (Istio), and autoscaling strategies (HPA/VPA).