About Trener
Trener is building the software foundation for a new generation of industrial robotics. We combine advanced AI, intuitive programming, and pre-trained skill models to make robots easier to deploy, operate, and adapt to real-world industrial work. With teams in San Jose and Trondheim, we build software that connects cloud infrastructure, developer platforms, and deployed robotic systems.
About the Role
We run a production cloud platform on Google Cloud today: private GKE clusters managed with OpenTofu and Atmos, GitOps delivery, self-hosted CI, a container registry, secrets management, and the monitoring and remote-support services behind our deployed robot fleet. It is a working production platform, and we are now building a cloud team to own and grow it.
You will own our GCP platform. You will work as a peer to a cloud engineer in T-Labs, our research organization, who owns our AWS environment. The two of you agree on shared conventions and review each other's infrastructure changes. You will also work closely with our delivery infrastructure engineer, and the greater engineering team.
This is a senior individual contributor role reporting to the Chief Product Officer. You will not have direct reports at the start. As the team grows, this role may take on technical leadership of cloud infrastructure.
What You Will Own
Our GCP platform: project structure, networking, GKE clusters, access controls, cost visibility, and the shared services that run on them. You keep it running, secure, upgraded, and documented.
Infrastructure as code and delivery: the OpenTofu modules and Atmos configuration that describe the platform, and reviewed plan/apply in CI with drift detection.
Kubernetes and GitOps: cluster lifecycle, Helm charts for our internal services, and ArgoCD-based delivery.
Cloud services for our robot fleet: the cloud side of remote monitoring, data gathering, and remote support for deployed robots.
Requirements
Production operations: You have operated production infrastructure as a cloud, platform, infrastructure, or site reliability engineer, including being responsible when it broke.
Terraform or OpenTofu at module-authoring depth: You have written and versioned reusable modules, managed state across multiple environments, and handled the lifecycle of real infrastructure over time.
Production GCP experience: GKE, VPC networking, IAM, and service accounts in a production setting. Equivalent depth on AWS or Azure is acceptable if you have hands-on GCP exposure and can show how you learned a new provider before.
Kubernetes operations: Cluster upgrades, RBAC, networking, and troubleshooting workloads that will not start or cannot communicate.
Helm chart authoring: not just chart installation.
Networking depth: VPCs, routing, DNS, TLS, load balancing, firewall policy, and debugging connectivity across those layers.
Python and Bash: for automation, diagnostics, and glue, plus Linux fluency.
Clear written communication in English: Infrastructure decisions here are discussed, documented and reviewed in writing, often across time zones.
Experience That Will Help You Succeed
Cloud services that support physical devices in the field: robots, IoT, or industrial equipment.
Taking ownership of an existing production system and improving it.
Infrastructure composition tooling such as Atmos, Terragrunt, or Terraspace.
Building CI for infrastructure: automated plan/apply, policy checks, drift detection.
GitOps with ArgoCD across multiple environments.
Externalized secrets management and Kubernetes-native secret delivery.
Operating Prometheus, Grafana, and Loki, or comparable observability tooling.
Overlay or private networking such as Tailscale or WireGuard.
Production experience on a second major cloud provider.
What We Offer
The opportunity to work at the intersection of robotics, AI, and cloud infrastructure, as a founding member of a cloud team. A senior technical role with direct influence over the foundations the company builds on, reporting to the Chief Product Officer.
A growing international engineering organization with teams in the United States and Norway.
Skills Required
- Proven experience operating production infrastructure as a cloud, infrastructure, platform, or site reliability engineer.
- Terraform or OpenTofu at module-authoring depth, including state management and lifecycle.
- Cloud foundation design experience (multi-account, landing zones, guardrails, IAM, network architecture).
- Experience with infrastructure composition/orchestration (Atmos, Terragrunt, Terraspace, or equivalent).
- Strong networking depth (VPCs, routing, peering, DNS, TLS, load balancing, firewall policy, IP addressing, connectivity troubleshooting).
- Kubernetes working knowledge: cluster operations, RBAC, networking, shared services, and troubleshooting.
- Helm chart authoring experience.
- Production cloud experience across at least two major providers, or deep experience with one plus hands-on multi-cloud expansion.
- Python and Bash for automation, CLIs, diagnostics, and glue.
- Linux fluency.
- Experience with controlled infrastructure environments (SOC 2, HIPAA, HITRUST, FedRAMP, PCI, or similar).
- Fluency in English and strong written communication for architectural documentation and reviews.
What We Do
Trener Robotics is a Physical AI company that builds the intelligence layer for industrial robots. Its platform, Acteris, leverages artificial intelligence to enable natural language programming, allowing industrial robots to operate autonomously, adapt to variability, and perform complex manufacturing tasks. The company aims to transform traditional, scripted machines into intelligent, self-learning systems to accelerate the deployment of advanced industrial automation.
