# Senior Cloud Infrastructure Engineer

- Company: [Trener Robotics](<https://jobstar.asia/company/trener-robotics>)
- Location: San Jose \(US-HQ\)
- Team: Product
- Employment type: Full Time
- Posted: August 14, 2026

## Job description

**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 and are expanding our AWS footprint. We need a senior infrastructure engineer to help establish a deliberate multi-cloud foundation and define how GCP and AWS should coexist as the platform grows.

You will own the Cloud Foundations layer: cloud account and project structure, infrastructure-as-code, state strategy, networking, Kubernetes foundations, and implementation of cloud access controls. You will help decide where Trener should standardize across providers and where provider-specific architecture is the right boundary.

This is a senior individual contributor role. You will not be managing people, and you will not be inheriting a greenfield.

**What You Will Own**

* Cloud foundations across GCP and AWS - project and account topology, landing zones, organization policies, baseline guardrails, and enrollment of new environments.
* Cloud and cross-cloud networking - VPCs, routing, peering, DNS, load balancing, firewall policy, IP addressing, and private connectivity between cloud environments.
* Infrastructure as code - reusable Terraform/OpenTofu modules, environment composition, lifecycle management, and patterns that keep infrastructure understandable as the estate grows.
* State strategy and blast-radius boundaries - how infrastructure state is partitioned, how dependencies are expressed, and how those patterns evolve across providers.
* Cloud identity implementation - implement cloud IAM, workload identity, federation, and access controls in partnership with Security.
* Kubernetes foundations - cluster lifecycle, baseline configuration, upgrades, and shared infrastructure services beneath application workloads.
* Infrastructure cost visibility - implement the tagging, labeling, budgets, alerts, and reporting needed to make cloud spend understandable and surface obvious infrastructure waste.
* Infrastructure controls supporting our SOC 2 program - resource labeling, access boundaries, configuration standards, and evidence-producing infrastructure practices.

**Requirements**

* Proven experience operating production infrastructure as a cloud, infrastructure, platform, or site reliability engineer.
* Terraform or OpenTofu at module-authoring depth - writing and versioning reusable modules, managing state across environments, and handling the lifecycle of real infrastructure over time.
* Cloud foundation design experience - multi-account, multi-project, landing-zone, guardrail, IAM, or network architecture beyond a handful of isolated workloads.
* Experience with infrastructure composition or orchestration - Atmos, Terragrunt, Terraspace, or an equivalent approach to managing reusable infrastructure across environments.
* Strong networking depth - VPCs, routing, peering, DNS, TLS, load balancing, firewall policy, IP addressing, and connectivity troubleshooting.
* Kubernetes working knowledge - cluster operations, RBAC, networking, shared services, and troubleshooting workloads that will not start or communicate correctly.
* Helm chart authoring, not just chart installation.
* Production cloud experience across at least two major providers, or deep experience with one plus substantial hands- on involvement extending an organization into another.
* Python and Bash for automation, CLIs, diagnostics, and glue.
* Linux fluency.
* Experience with controlled infrastructure environments - SOC 2, HIPAA, HITRUST, FedRAMP, PCI, or similar security/compliance expectations.
* Fluency in English and strong written communication. Architectural decisions here are expected to be documented and reviewed in writing

**Experience That Will Help You Succeed**

* GitOps workflows across multiple environments and comfort operating infrastructure through reviewed, auditable changes.
* Externalized secrets management and Kubernetes-native secret delivery patterns.
* Operating Prometheus/Grafana/Loki or comparable observability tooling as an infrastructure consumer and operator.
* Experience introducing or formalizing a second cloud, including a clear account of what you would repeat and what you would change.
* Cloud identity federation and workload identity across providers.
* Disaster-recovery, regional resilience, or high-availability infrastructure work.
* Private cloud networking or overlay connectivity.

**What We Offer**

The opportunity to work at the intersection of robotics, AI, and cloud infrastructure. A senior technical role with meaningful influence over the foundations on which the company builds.

A growing international engineering organization with teams in the United States and Norway

## Apply

[Apply on Trener Robotics](<https://jobs.ashbyhq.com/trener-robotics/2472a123-4c60-4287-a550-9c0473a3afb5>)

Canonical job page: <https://jobstar.asia/job/senior-cloud-infrastructure-engineer-trener-robotics-san-jose-us-hq-43c853deeabb72b3>
