Network Automation Software Engineer
About The Position
At Fluidstack, we’re building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light. We’re working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers’ outcomes as our own, taking pride in the systems we build and the trust we earn. If you’re motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next. About the Role We are seeking a Senior / Staff Network Automation Engineer to join the Network Engineering Core Pillar. You will be responsible for building the automation systems and tooling that enable FluidStack to deploy and operate network infrastructure at scale — from network data modeling and cutsheet generation to config automation and device validation. This role is central to our mission of making every datacenter deployment repeatable, automated, and driven from a single source of truth. You will work closely with cross-functional teams to mature our network model within DCIM tooling, build intent-based cutsheet automation, develop config generation pipelines, and create device validation tooling that ensures network infrastructure is production-ready before customer workloads land.
Requirements
- Strong programming skills in Python or Go with experience building production automation systems
- 5+ years of experience in network engineering with a focus on automation and tooling development
- Hands-on experience with DCIM/IPAM platforms including data modeling, API integration, and using these systems as a source of truth for automation
- Experience with network configuration management and templated config generation (Jinja2, Ansible, or similar)
- Experience with infrastructure-as-code principles and tools (Terraform, Ansible, or similar)
- Familiarity with network hardware platforms (Arista, Juniper, Mellanox/NVIDIA, or similar) and network operating systems
- Excellent communication skills with the ability to work across engineering teams and document technical decisions clearly
Nice To Haves
- Experience building automation that generates deployment artifacts (cutsheets, cable matrices, rack elevations) from network models
- Experience with ZTP (Zero Touch Provisioning) systems and device bootstrap workflows
- Demonstrated knowledge of datacenter network fundamentals: TCP/IP, BGP, EVPN/VXLAN, and related protocols
- Familiarity with test automation frameworks for network device validation and health checks
- Experience with GPU cluster networking, AI/ML infrastructure, or high-performance computing environments
- Knowledge of monitoring and observability stacks (Prometheus, Grafana) and how they integrate with network automation
- Experience with Kubernetes networking concepts (CNIs, service meshes) and container orchestration platforms
- Familiarity with network lab provisioning tools like Containerlab for development and testing
Responsibilities
- Design and maintain network data models within DCIM platform that serve as the authoritative source of truth for all downstream automation
- Build intent-based cutsheet automation that generates deployment artifacts (cable matrices, rack elevations, port mappings) directly from network models
- Develop config generation pipelines that render device configurations from templates and network model data
- Create device validation and health check tooling that automates the deployment lifecycle — from bootstrap through validation to production handoff
- Build automation frameworks for network provisioning, including ZTP workflows and device onboarding
- Collaborate with cross-functional partners (DCIM SWE, ICT, Deployment teams) to ensure physical and logical artifacts align throughout the deployment process
- Contribute to the design and architecture of network automation systems, identifying opportunities to reduce manual effort and improve reliability
Benefits
- Competitive total compensation package (salary + equity).
- Retirement or pension plan, in line with local norms.
- Health, dental, and vision insurance.
- Generous PTO policy, in line with local norms.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
101-250 employees
