CrusoeSenior Staff Software Engineer, Network Automation
1mo ago
USALeadnetwork automation
Lead development of automation frameworks and self-healing network systems for AI infrastructure.
Conditions
- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location
- Compensation will be paid in the range of up to $245,000 -$295,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.
- Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Other
- Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
- We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
- We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
- Crusoe is seeking a Senior Staff Software Engineer to own how our network monitors, configures, and heals itself without human intervention. You will design and ship the automation frameworks, self-healing workflows, and observability platforms that allow our global network fleet to scale sublinearly with headcount.
- This is a senior technical leadership role at the intersection of Network Engineering, Software Engineering, and Infrastructure Reliability. You will partner with Network Architecture to translate intent-based designs into production automation, mentor a team of Staff and Senior engineers, and represent the automation org in cross-functional planning with Deployment, Operations, and Site Reliability. You're not writing scripts to replace manual tasks. You're building the control plane that makes the network intelligent.
- Own the Network Automation Platform: Define the technical roadmap for Crusoe's automation stack, from source of truth and config generation through day-2 operations, telemetry, and closed-loop remediation across our global fleet.
- Build the Source of Truth: Design and own the authoritative data model (NetBox, Nautobot, or equivalent) that drives all network configuration, validation, and operational state across teams.
- Architect Intent-Based Configuration Systems: Lead the design and delivery of declarative, model-driven configuration pipelines using Python, Nornir, Ansible, Jinja2, and CI/CD, treating the network as code and making configuration drift impossible.
- Drive Model-Driven Automation: Own Crusoe's gNMI, OpenConfig, and NETCONF/YANG strategy for telemetry collection, configuration management, and state validation across multi-vendor fabrics (Arista, Juniper, NVIDIA/Mellanox).
- Build Self-Healing Workflows: Design and ship event-driven, auto-remediation systems that detect faults, correlate telemetry, and resolve known failure modes without human escalation.
- Define the Observability Platform: Set the technical direction for Crusoe's telemetry, metrics, alerting, and dashboarding stack including Prometheus, Grafana, and streaming gNMI.
- Influence Architecture for Automability: Partner with Network Architecture to ensure designs are automation-first from day one, deployable, validatable, and operable programmatically at scale.
- Mentor and Multiply: Provide technical guidance to Staff and Senior engineers. Drive code reviews, design reviews, and platform architecture decisions that raise the engineering bar across the org.
- 12+ years of network engineering experience with a demonstrated focus on production software engineering, platform engineering, and infrastructure as code in hyperscale or internet-scale environments.
- Demonstrated Technical Leadership: Proven track record of designing and shipping network automation platforms used by a broader engineering organization, not scripts, but systems others build on.
- Production-Quality Software Engineering: Mastery of Python or Go at a platform level, testable, CI/CD-integrated, and production-owned. You think like a software engineer who deeply understands networking.
- Model-Driven Automation Fluency: Deep hands-on experience with gNMI, OpenConfig, NETCONF, and YANG-modeled configuration and telemetry. You understand why model-driven automation is the only path to hyperscale.
- Source of Truth Ownership: You have designed or owned a network source of truth platform (NetBox, Nautobot, or equivalent) end to end, including the data model, integrations, and CI/CD pipelines that consume it.
- Network Domain Depth: Strong hands-on expertise with Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in leaf-spine architectures. Solid knowledge of BGP, EVPN-VXLAN, and LLDP at DC fabric scale.
- Event-Driven and Self-Healing Systems: Track record of building auto-remediation and closed-loop automation that detects, correlates, and resolves faults without human intervention.
- Observability Expertise: Hands-on experience building streaming telemetry and observability platforms using gNMI collectors, Prometheus, Grafana, and equivalent tooling at fleet scale.
- Hyperscale Operational Context: Comfort operating at scale across 10K+ network devices and multi-region fabric fleets, where the blast radius of a bug is measured in racks, not ports.
- Education: Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience in hyperscale or internet-scale environments.