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Fluidstack is building the infrastructure for abundant intelligence and needs to make every datacenter deployment repeatable, automated, and driven from a single source of truth. This role is central to achieving that mission by developing automation systems and tooling for network infrastructure deployment and operation at scale.

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
• Experience building automation that generates deployment artifacts (cutsheets, cable matrices, rack elevations) from network models

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

Other

• Excellent communication skills with the ability to work across engineering teams and document technical decisions clearly
• Highly motivated and committed to delivering world-class infrastructure
• Treat our customers’ outcomes as our own
• Motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence