---
title: 'Senior Cloud Infrastructure Engineer at Trener'
canonical: 'https://feeny.ai/job/senior-cloud-infrastructure-engineer-trener-san-jose-24qjfesc8wsz'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Cloud Infrastructure Engineer at Trener

- **Company:** Trener
- **Location:** San Jose, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-14
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/trener-robotics/2472a123-4c60-4287-a550-9c0473a3afb5

## 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

## About Trener

## Core Business
- **Primary industry**: Industrial robotics automation / Physical AI software
- **Target customers**: B2B – manufacturing companies, system integrators, and shop-floor operations running high-mix, low-volume production
- **Mission**: Replace rigid, scripted robot programming with training-based, autonomous execution to make industrial automation more flexible and scalable.

## Products & Services
- **Acteris**: The core intelligence layer for industrial robots – a vendor-agnostic platform that provides vision, language, and action understanding to enable skills-based programming, natural language task specification, real-time adaptation, and production monitoring. Compatible with ABB, Universal Robots, and FANUC, with more brands planned.
- **T-Labs**: Dedicated R&D engine that develops new robot skills using vision-language-action models, simulation, and data-efficient training pipelines. Feeds production-ready capabilities into Acteris.
- **T-Job, T-Agents, T-Vision, T-Sim, T-Monitor, T-Skill, T-Sense (coming soon)**: Specific modules within Acteris for job orchestration, agentic control, vision perception, simulation, monitoring, skill execution, and haptic sensing.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $38.2M across four rounds (Pre-Seed, Seed, Seed extension, Series A)
- **Notable Investors/Partners**: Engine Ventures, IAG Capital Partners, Emergent Ventures
- **Growth Signals**:
  - Headcount grew 350% year-over-year to 31 employees (LinkedIn data)
  - Won the Industry Startup Forum Award at Advanced Factories 2026
  - Winner of ABB Startup Challenge 2024
  - Expanding to additional robot brands beyond ABB, Universal Robots, and FANUC
  - Opened offices in San Jose (US HQ) and Barcelona (new hybrid location)

## Competitive Advantages
- **Robot-agnostic intelligence layer**: Works across multiple robot brands (ABB, UR, FANUC) without requiring hardware replacement – can retrofit existing workcells.
- **Physical AI approach**: Replaces traditional point-to-point programming with Vision-Language-Action models, enabling robots to handle variability and changeovers autonomously.
- **Skills, not scripts**: Deployable, reusable robot skills that can be commissioned and scaled across cells, reducing deployment time and maintenance.
- **Partner-led commissioning**: Standardized integration suite allows trusted partners to deploy consistently, enabling faster scaling.

## Strategic Focus
- Scale deployment of Acteris across more production environments, particularly high-mix, low-volume manufacturing.
- Expand robot brand compatibility to additional leading industrial robot manufacturers.
- Continue building T-Labs to advance embodied intelligence and skill learning.
- Grow the partner ecosystem and sales channels (recent hires like VP of Sales Jacob Pascual Pape indicate commercial acceleration).

## Why Work Here
- **Cutting-edge technology**: Work on Physical AI, foundation models, and real-world robotics – a rare intersection of AI and industrial automation.
- **Global team**: Offices in San Jose (US), Trondheim (Norway), and Barcelona (Spain) with employees across 6 countries. Hybrid work model (in-office in San Jose and Barcelona, with remote flexibility in some roles).
- **Growth trajectory**: Young company (founded 2024) with rapid headcount growth and strong investor backing – opportunity to shape the product and culture early.
- **Award-winning environment**: Recognized at Advanced Factories 2026 and ABB Startup Challenge, signaling industry credibility.
- **Open roles**: Currently hiring for Integration Engineers (software and field), Technical Sales Engineers, QA Engineers, Business Development Managers, Channel Managers, and Application Engineers – indicating scaling across engineering, sales, and operations.

## Sources
1. [trener.ai](https://trener.ai/)
2. [trener.ai/company](https://trener.ai/company)
3. [trener.ai/platform](https://trener.ai/platform)
4. [builtin.com](https://builtin.com/company/trener-robotics)
5. [linkedin.com](https://www.linkedin.com/company/trener-robotics)

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