Senior Software Engineer, Submer
Kubernetes and Distributed Systems, Radian Arc (EMEA), Contractor or FTE
Cooling & automation for data centers
Be an early applicant
Cooling & automation for data centers
101-200 employees
Be an early applicant
101-200 employees
Company mission
To create sustainable, efficient, and planet-friendly data centers and other energy-intense environments.
Role
Who you are
- 5+ years of experience building distributed systems or infrastructure platforms
- Strong programming experience in Go
- Experience developing Kubernetes operators and controllers
- Kubernetes Platform Engineering
- Strong understanding of Kubernetes internals and control plane architecture
- Experience building infrastructure automation around Kubernetes
- Familiarity with multi-tenant Kubernetes environments
- Distributed Systems
- Experience designing and operating distributed systems at scale
- Understanding of distributed state management and service coordination
- Experience building reliable, highly available infrastructure services
- Infrastructure & Systems Knowledge
- Strong Linux systems knowledge
- Experience troubleshooting complex production systems
- Understanding of networking and storage infrastructure used by distributed systems
- Operational Excellence
- Experience operating high-availability production systems
- Familiarity with observability tooling such as Prometheus and Grafana
- Experience participating in on-call rotations and incident response
- Personal Attributes
- Strong analytical and problem-solving skills
- Excellent communication and collaboration abilities
What the job involves
- Location & work modality: EMEA / Remote
- Start: Aug 2026
- Type of Contract: Contractor or FTE
- Design and develop the platform control plane responsible for managing GPU cloud infrastructure and distributed AI workloads
- This role focuses on building the core orchestration services that provision, manage, and coordinate compute, networking, and storage resources across global GPU clusters
- The Senior Software Engineer will design and implement distributed systems that power the platform’s control plane, enabling reliable orchestration of Kubernetes clusters, GPU workloads, and multi-tenant infrastructure
- You will build APIs, services, and Kubernetes-native operators that automate infrastructure lifecycle management and provide the primitives required to run large-scale AI workloads across multiple regions
- This role works closely with platform, networking, storage, and infrastructure teams to ensure the control plane integrates seamlessly with the underlying GPU infrastructure, networking fabrics, and disaggregated storage systems
- The emphasis is on independently delivering major control-plane components, solving difficult distributed-systems and orchestration problems, and improving platform reliability and operability within the broader platform direction
- Platform Control Plane Development
- Design and develop the platform control plane services responsible for managing GPU cloud infrastructure
- Implement APIs and services that orchestrate compute, networking, and storage resources
- Build distributed services responsible for cluster lifecycle management and infrastructure orchestration
- Implement reliable state management systems for distributed infrastructure components
- Kubernetes Platform Integration
- Develop Kubernetes operators and controllers that automate platform infrastructure
- Implement cluster lifecycle APIs responsible for:
- ○ Cluster provisioning,
- ○ Cluster upgrades,
- ○ Node lifecycle management
- ○ Infrastructure automation
- Integrate platform services with Kubernetes control planes running on bare-metal infrastructure
- AI Infrastructure Orchestration
- Develop orchestration frameworks that manage GPU workloads across distributed clusters
- Implement platform services that optimize resource scheduling and utilization for AI workloads
- Integrate the platform control plane with components such as:
- ○ NVIDIA GPU Operator,
- ○ KServe,
- ○ Argo Workflows,
- ○ SLURM integration,
- ○ KubeVirt virtualization
- Distributed Systems Engineering
- Build distributed systems that coordinate workloads across multi-region GPU clusters
- Implement services capable of handling high-throughput infrastructure orchestration workloads
- Design scalable mechanisms for distributed state management and coordination
- Contribute practical design input for platform components
- Reliability & Operations
- Engineer systems for high availability and fault tolerance
- Implement observability, monitoring, and alerting for platform services
- Participate in incident response and on-call rotations for platform systems
- Perform root cause analysis and implement systemic improvements to platform reliability
- Engineering Excellence
- Drive technical design decisions for platform components
- Maintain high standards for testing, CI/CD, and operational safety
- Participate in architecture discussions, code reviews, and system design
- Contribute to repeatable patterns, implementation quality, and operational maturity within the platform software domain
- Technical Stack:
- Platform Development
- Go
- Kubernetes controllers / operators
- Distributed systems architecture
- REST / gRPC APIs
- Platform Infrastructure
- Kubernetes
- Helm
- GitOps workflows
- AI Platform Components
- NVIDIA GPU Operator
- KServe
- Argo Workflows
- SLURM integration
- KubeVirt
- Storage Integration
- Weka distributed storage
- VAST disaggregated storage
- StorPool HCI
- CSI drivers
- Observability
- Prometheus
- Grafana
- OpenTelemetry
Our take
Developments in the AI sector have increased the strain on data centres and chips, generating more heat from their processes than ever before. Cooling methods using air and water are not keeping pace with the amount of energy needed to support AI. Submer is on a mission to build data centres and processing plants that are as sustainable as they are efficient.
Submer’s eco-friendly product for data centres and chip processing is built from a coolant of non-flammable, biodegradable and synthetic liquid that physically acts in the same way as water. The racks for servers are stored and operate from within a smart container which further lessens the heat produced by data centres. Submer’s range of products even allows for the coolant to be reused via a heat exchanger.
It’s an inspired solution for an increasingly pressing problem. Data centres are going nowhere, yet the vital need for greener energy solutions puts pressure on these industries. It’s unsurprising then that Submer has raised considerable funding that is being channelled into the expansion of its product. Server component manufacturers are even beginning to build their products to be compatible with Submer’s, indicating the eagerness with which the industry is welcoming the solution.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Oct 2024
$55.5m
SERIES C
Jan 2022
$34m
SERIES B
Total funding: $109.5m
Company 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
Company HQ
Rubí, Spain
Leadership
Patrick Smets
(CEO)Former COO of the company. Was previously an Associate Partner at McKinsey & Company, CEO at GEM One and worked for Belgian Defence.
Daniel Pope
(CTO & Co-founder)Founder at InferX AI. Previously Director of Architecture and Integration EMEA at Ingram Micro Cloud and Principal Solution Architect at Odin. Was also Senior Solution Architect at Parallels and was a CEO and CTO at Datahouse Internet.
Pol Valls Soler
(CFO & Co-founder)Previously CPO at FXStreet, Workshop Professor and Key Account Manager at La Salle Technova Barcelona and was Co-Founder at Joiner.
Share this job
View 4 more jobs at Submer