Summary
An innovative technology company focused on developing advanced physical AI systems is seeking a DevOps Engineer. The company builds intelligent platforms that simulate complex physical environments to enable real-time decision-making for critical industries. They are looking for an experienced engineer to own their AWS cloud architecture, manage Kubernetes clusters, and build automated infrastructure using Terraform. This role offers the unique opportunity to be a foundational team member, shaping both the technical roadmap and the broader engineering culture while ensuring the highest standards of security, reliability, and operational excellence.
Highlights
Join a fast-growing, well-funded startup backed by top investors to shape the engineering culture as an early hire. Tackle high-impact challenges by building scalable, secure, and automated cloud infrastructure from the ground up for mission-critical systems.
Description
DevOps Engineer
One of Eden Prescott's top Physical AI clients is looking for a DevOps engineer to join the team.
This team is developing AI-native systems that understand, simulate, and orchestrate complex physical environments.
Their platform transforms fragmented operational data into intelligent, real-time decision making for mission critical industries where every second, every asset, and every decision matters.
Backed by leading investors and an exceptional founding team, they're assembling world-class engineers to help define the future of AI beyond the screen.
What You'll Do
Own our AWS infrastructure and cloud architecture, ensuring it's secure, scalable, and highly availableBuild and maintain Kubernetes clusters and the tooling required to deploy and operate production servicesDevelop Infrastructure as Code using Terraform, automating everything possible.Create internal developer tooling that makes it easy for engineers to build, test, and deploy safelyDesign and improve CI/CD pipelines that enable rapid, reliable releases.Partner with backend, data, and AI engineers to build infrastructure that supports distributed systems and production AI workloadsOwn observability across the platform, including monitoring, logging, alerting, and incident responseContinuously improve security, reliability, performance, and cost efficiency across our infrastructureHelp establish engineering best practices around infrastructure, deployments, and operational excellencePlay a key role in shaping both our technical roadmap and engineering culture as one of our earliest hires
What We're Looking For
8+ years of experience building and operating cloud infrastructure in production environmentsStrong experience with AWS, Kubernetes, and TerraformExcellent Python skills for automation, tooling, and infrastructure development.Experience managing PostgreSQL and cloud-native databasesStrong understanding of containers, networking, Linux, security, and distributed systems.Experience designing scalable, highly available production infrastructure.Comfortable debugging complex production issues and owning systems from design through operationExcellent communication skills and the ability to collaborate across engineering disciplinesExperience at an early-stage startup where you've built infrastructure from the ground up is highly preferred
Nice to have
Experience with observability tooling such as Prometheus, Grafana, OpenTelemetry, Datadog, or CloudWatchFamiliarity with DynamoDB, event-driven architectures, and distributed messaging systemsExperience improving developer experience through platform engineering and internal toolingPrevious experience as a founding engineer or technical lead
