Hydra Host

QA Automation Engineer

• Design and implement network automation tools and frameworks to streamline configuration, deployment, and monitoring across partner datacenters.
• Develop and maintain scripts, playbooks, and pipelines for automated provisioning of network devices and services.
• Integrate Brokkr’s platform with network management systems and APIs exposed by datacenter vendors and equipment.
• Troubleshoot network issues and work through L2 and L3 support incidents with a focus on automation-based remediation.
• Monitor and improve network performance and uptime across diverse hardware and topologies.
• Ensure network security policies are enforced through configuration automation and compliance checks.
• Collaborate with infrastructure and systems engineers to support seamless deployment and scaling of bare metal resources.
• Contribute to the design and architecture of scalable, fault-tolerant network solutions.

Network Automation Engineer

Financial Planning and Analysis

• Build and maintain financial models for GPU rental contracts, including multi-year pricing scenarios, utilization assumptions, and ROI analyses for prospective clients
• Partner with the sales team to respond to financial, commercial, and transaction questions during the pre-sale process.
• Develop client-facing materials that communicate contract economics, cost comparisons, and payback analysis in a clear and accessible format
• Maintain and improve standardized modeling templates to support a repeatable, scalable sales process
• Research GPU hardware specifications, market pricing, and competitive positioning to inform deal structuring
• Collaborate with finance and operations teams to ensure models reflect accurate cost inputs and contract terms

Execution Analyst, Digital Infrastructure Finance

Sales Operations Manager

• Prepare and manage customer quotes, proposals, and order documentation
• Ensure pricing accuracy, margin targets, and commercial feasibility
• Support sales team in structuring deals, including non-standard and custom opportunities
• Maintain CRM and deal documentation to ensure pipeline accuracy
• Source and manage vendor quotes (hardware suppliers, AI infrastructure partners, etc.)
• Negotiate pricing and validate cost structures for profitability
• Coordinate with suppliers for custom builds (e.g., GPU clusters, high-performance infrastructure)
• Maintain up-to-date knowledge of vendor pricing and availability
• Develop tailored proposals for AI factory / GPU-intensive deployments
• Translate customer requirements into structured commercial offers
• Collaborate with technical teams to align specifications with pricing models
• Build multi-component proposals (compute, storage, networking, services)
• Assess customer financial viability for large or long-term deals
• Support structuring of financing options (e.g., staged payments, leasing, committed spend)
• Analyze deal profitability, risk, and cash flow implications
• Work with finance to validate terms and ensure compliance
• Generate and manage customer invoices and billing schedules
• Ensure alignment between agreed terms and invoicing
• Coordinate with finance on payment tracking and discrepancies
• Support contract finalization and order processing
• Act as a liaison between Sales, Finance, Procurement, and Technical teams
• Ensure smooth handoff from proposal to execution
• Identify process improvements in quoting, pricing, and deal workflows

Sales Operations Specialist

LLM Engineer

• Build Strategic Partnerships
• Identify and develop relationships with hardware vendors, system integrators, and solutions vendors, focused on the ai infrastructure arena.
• Source and close new partner opportunities aligned with Hydra Host’s GPU and bare metal offerings
• Drive Revenue Growth
• Own partner pipeline from outreach, joint value proposition, expansion, and go-to-market activities.
• Create scalable revenue channels through resellers, affiliates, and strategic alliances
• AI Infrastructure Positioning
• Clearly communicate Hydra Host’s value in GPU compute, low-latency networking, and high-performance bare metal
• Align partner needs with infrastructure solutions (training clusters, inference scaling, etc.)
• Expand Ecosystem
• Build relationships with: OEM, System Integrators, and Ai-related ISVs
• Data pipeline providers
• Cloud & hybrid infrastructure players
• Identify integration and co-selling opportunities
• Partner Success & Retention
• Ensure partners are successful and growing on Hydra Host
• Track performance metrics and optimize partnerships over time
• Own the Partner Portal with measurable results and partner KPIs.

Partner Manager – AI Infrastructure

• Design and develop scalable trading or transaction-based systems
• Build real-time data pipelines and event-driven architectures
• Optimize systems for performance, throughput, and low latency
• Implement secure order management, matching engines, or transaction processing components
• Work with DevOps and infrastructure teams to ensure high availability and fault tolerance
• Ensure regulatory and security best practices are followed where applicable

Full Stack Developer – Financial Exchange Platform

Technical Project Manager

• Own Projects End-to-End
• Lead multiple concurrent customer infrastructure buildouts from kickoff through production go-live.
• Define scope, milestones, and timelines — often building the structure from scratch.
• Keep projects moving with clear accountability and proactive follow-up.
• Drive fast decision-making while protecting delivery quality.
• Work closely with engineering and operations teams to sequence installs and cutovers.
• Track hardware procurement, shipping, staging, and on-site installation.
• Be the Customer Quarterback
• Serve as the primary point of contact during infrastructure implementations.
• Translate technical details into clear business updates.
• Set expectations early and manage scope carefully.
• Proactively communicate risks before they become issues.
• Solve Problems in Real Time
• Identify roadblocks and remove them quickly.
• Manage vendor timelines and hold partners accountable.
• Handle last-minute changes without losing control of the project.
• Escalate strategically, not reactively.
• Keep It Lean but Controlled
• Maintain lightweight but effective project documentation.
• Track budgets, timelines, and risk in practical tools (Smartsheet, Jira, Monday, etc.).
• Build repeatable processes as the company scales

IT Project Manager – Infrastructure

Full-stack Engineer

• Develop full stack applications
• Work alongside systems, network, and infrastructure engineers.
• Support containerized and cloud-native deployments in Linux

Full Stack Developer – Hardware & Systems Integration

Infrastructure Engineer

• Get AI Platform customers production-ready on Hydra — standing up Kubernetes clusters, configuring GPU drivers, validating networking, and troubleshooting the issues that surface when real workloads hit real hardware.
• Own the bare metal ←→ platform layer — bridging GPU infrastructure (NCCL, InfiniBand, NVLink, storage) with orchestration layers (Kubernetes, SLURM) and MLOps tooling that customers actually use.
• Configure, benchmark, and debug NVIDIA driver stacks — firmware versions, CUDA compatibility, NCCL tuning, MIG configurations.
• Run quality benchmarks and diagnostics to validate performance for inference and training workloads across chip types.
• Identify gaps before customers do — pressure-testing Hydra's infrastructure, APIs, and workflows to find what's missing or broken.
• Turn customer learnings into product — working with Product and Engineering to build reusable templates, default configurations, and automated workflows that eliminate manual onboarding.
• Advise customers on chip selection and tokenomics — helping AI platform customers understand price/performance trade-offs across GPU types, cost-per-token economics, and which hardware fits their inference or training workloads.