Network Automation Software Engineer
$200k - $250k USD
About Fluidstack
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.
Focus:
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
Basic Qualifications:
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
Salary & 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.
The base salary range for this position is $200,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options.
We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.