We enable next generation cooling and automation for data & energy-intense environments by integrating our pristine, highly-efficient & sustainable technologies. Solving the challenges of today and…
We enable next generation cooling and automation for data & energy-intense environments by integrating our pristine, highly-efficient & sustainable technologies. Solving the challenges of today and…
Data and AnalyticsDeepTechHardwareInformation TechnologyInternet ServicesSoftware
$155M
Fluid2Chip
🌍Remote
DeepTech
-
Perle
🇺🇸US
Data and AnalyticsDeepTechInformation TechnologyInternet ServicesSoftware
-
Who you are
Strong DevOps or platform engineering background in complex cloud-native environments
Proven experience with infrastructure as code and large-scale deployment automation
Hands-on experience with Kubernetes-based delivery and operational workflows
Strong understanding of CI/CD design, release safety, configuration management, and secrets handling
Experience managing multi-component platform deployments across environments
Comfortable working with both vendor software and internally developed services
Familiarity with GitOps principles and declarative deployment patterns
Strong troubleshooting mindset across build, deployment, runtime, and infrastructure layers
Able to improve both developer velocity and operational reliability
Experience in platform, private cloud, or infrastructure-heavy environments is a strong plus
Able to independently own major automation, deployment, or environment-management initiatives from design through production rollout
What the job involves
The application process
Start: ASAP
Benefits
Medical Insurance Plan
401k Employee volunteer contribution Plan
A great work environment characterised by friendliness, international diversity, flexibility, and a hybrid-friendly approach
You´ll be part of a fast-growing scale-up with a mission to make a positive impact, offering an exciting career evolution
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Mission: Build and operate the engineering automation platform that enables repeatable, secure, and scalable deployment of the GPU cloud platform across environments
You will be responsible for core parts of the automation backbone behind the platform
You will design and maintain the tooling, pipelines, and infrastructure-as-code foundations used to deploy vendor components, platform services, and supporting environments consistently and at scale
This role is central to turning a complex software design into an operable engineering system
You will work across Kubernetes, Terraform, Kustomize, GitHub Actions, secrets management, storage, and observability, and ensure that deployments are reproducible, secure, and maintainable
You understand that DevOps in this environment goes beyond pipeline ownership
It means building the delivery mechanisms for a platform composed of multiple integrated services, including orchestration, identity, metering, storage, observability, messaging, and cloud infrastructure components
You will independently deliver major automation and deployment capabilities, improving operational quality, and helping teams adopt reliable deployment patterns within an existing platform direction
Design, build, and maintain CI/CD pipelines for platform components and supporting services
Manage infrastructure automation using Terraform and related IaC tooling
Implement GitOps-style deployment workflows for Kubernetes-based platform services
Standardize and automate environment provisioning across development, staging, and production
Maintain developer environments and improve engineering productivity through better tooling and automation
Automate deployment of vendor and platform components such as Kubernetes, databases, storage, observability, identity, and messaging systems
Manage secrets and configuration workflows using centralized secret management practices
Improve deployment reliability, traceability, rollback safety, and operational consistency
Work closely with backend and platform engineers to turn software designs into repeatable deployment patterns
Contribute to platform operability, monitoring, and release engineering standards
