Vultr

Engineer

• Design and execute performance benchmarks for AI training and inference workloads
• Profile and characterize GPU workloads to identify performance bottlenecks and optimization opportunities
• Systematically tune workload parameters (batch size, precision, parallelism, memory, etc.) to maximize throughput
• Establish and maintain performance baselines and success criteria across GPU platforms
• Develop benchmarking tools, scripts, and automation for repeatable performance validation
• Analyze and report benchmark results with actionable recommendations for engineering teams
• Validate performance of new GPU hardware platforms before production deployment
• Collaborate with GPU Engineers and Fabric Engineers to correlate performance with system-level health
• Track and evaluate emerging GPU architectures and software releases for performance impact
• Document benchmarking methodologies, tuning playbooks, and performance best practices

GPU Performance and Benchmarking Engineer

• Validate and troubleshoot InfiniBand and RoCE fabrics during GPU cluster bring-up and expansion
• Tune fabric performance parameters for distributed AI workloads (NCCL, MPI, collective operations)
• Monitor and manage fabrics using NVIDIA UFM (Unified Fabric Manager) for health, topology, and performance visibility
• Diagnose and resolve fabric-level issues including link errors, congestion, packet loss, and path asymmetry
• Optimize RDMA transport settings, PFC/ECN behavior, and lossless queue configuration for GPU traffic
• Validate fabric performance benchmarks and ensure line-rate throughput for AI workloads
• Collaborate with GPU Engineers to correlate fabric health with workload performance
• Collaborate with networking teams on fabric provisioning, configuration, and remediation
• Respond to fabric alerts and degradation events across production GPU clusters
• Document fabric troubleshooting procedures, tuning parameters, and validation runbooks

GPU Fabric Engineer

Solutions Engineer

• Build the reporting infrastructure that Finance and Analytics actually trust (revenue dashboards, margin analysis, accrual reporting, audit trails)
• Design and implement ETL/data pipeline integrations between administer and Vultr's data warehouse, analytics tools, and any external ERP systems
• Create the API surface and event contracts that let downstream systems consume administer data reliably
• Build reconciliation tooling so Finance can verify data integrity without filing JIRA tickets
• Work with the domain engineer to ensure reporting needs shape the data model, not the other way around
• Implement data quality monitoring and alerting for critical financial data pipelines
• Own the schema and contract versioning strategy for administer's integration APIs
• Optimize query performance for financial reporting workloads across large datasets

Senior Software Engineer, ERP Platforms – Integration, Reporting

Data Engineer

• Design and implement the canonical data model for Vultr’s control plane ERP transformation: product catalog, chart of accounts, financial transactions, cost centers
• Build and maintain the internal APIs and event streams that Finance, Analytics, and downstream systems consume
• Refactor existing administer code toward clean domain boundaries (no more conflated orders/ledger/report tables)
• Implement data upgrade/migration paths from legacy schemas without breaking production
• Write the integration layer between administer and Vultr's existing billing, provisioning, and reporting systems
• Establish data validation and integrity checks across the financial data layer
• Collaborate with the Product Manager to translate finance domain requirements into durable schema designs
• Document architectural decisions and data model contracts for downstream consumers

Senior Software Engineer, ERP, Data & Domain

Full-stack Engineer

• Design and engineer optical transport solutions using DWDM, ROADM, OTN, and Carrier Ethernet technologies
• Configure, commission, and troubleshoot optical networking platforms from vendors such as Ciena, ADVA, Nokia, XKL, Smart Optics, and Tejas
• Perform optical power analysis, span engineering, and link budget calculations
• Support installation and turn-up of optical circuits including 100G, 400G, 800G and beyond
• Conduct network acceptance testing and service validation using OTDRs, optical spectrum analyzers, BER testers, power meters, and fiber inspection scopes
• Troubleshoot fiber impairments including attenuation, dispersion, reflection, dirty connectors, and signal degradation
• Lead network maintenance activities, software upgrades, migrations, and outage recovery efforts
• Provide Tier III technical support for NOC, field operations, and customer escalations
• Develop MOPs (Methods of Procedure), engineering standards, and technical documentation
• Train junior engineers and field technicians on optical networking technologies and best practices

Senior Optical Engineer

Director

• Architect the foundational specifications for the global network telemetry ecosystem and exercise full ownership over the intelligence framework.
• Direct the global DDoS detection framework and overarching mitigation policies.
• Design threat detection mechanisms and infrastructure to combat hackers, mitigate network security risks, and enhance overall trust and safety across the platform.
• Establish comprehensive data reporting structures to provide deep visibility into network performance, security events, and operational health.
• Build detection and reporting capabilities for protecting IP and network reputation.
• Lead capacity management and network monetization initiatives.
• Collaborate with engineering and finance stakeholders to architect and operationalize a comprehensive, telemetry-driven billing ecosystem for precise usage monitoring.
• Manage, mentor, and scale a high-performing engineering team focused on network security, data pipelines, and infrastructure intelligence.

Senior Director, Network Intelligence

• Engineer, tune, and maintain detection rules and analytics in the SIEM and EDR platforms
• Administer SIEM platform health, parser configuration, log source onboarding, and data pipeline optimization.
• Design and build SOAR playbooks and automated response workflows to streamline triage, enrichment, and containment.
• Develop and maintain integrations between security tools (SIEM, EDR, SOAR, SEG, TIP, DLP, ticketing)
• Map detection coverage to MITRE ATT&CK to identify and close gaps
• Identify and drive improvements to security visibility across the environment, including new log sources, enrichment opportunities, and telemetry gaps
• Assist with investigation of security events, from alert through remediation
• Assist with conducting threat hunts across organizational telemetry
• Assist incident response with log analysis, artifact collection, and containment
• Manage EDR platform coverage, sensor health, and policy configuration
• Coordinate with Threat Intelligence to translate intel into deployed, actionable detection logic
• Coordinate with Security Engineering on infrastructure integrations and log pipeline architecture
• Document detection logic, automation workflows, and operational procedures

Senior CSIRT Engineer

Platform Engineer

• Design and build the next-generation bare metal deployment pipeline to achieve sub-60-second provisioning times
• Develop and maintain Vultr’s bare metal automation and management toolkit
• Implement automated firmware update workflows across the bare metal fleet using IPMI/BMC protocols
• Build and optimize kexec-based fast boot and provisioning flows to minimize deployment latency
• Integrate cloud-init and instance metadata service for bare metal, enabling consistent configuration across VM and BM products
• Develop Puppet and Ansible modules for bare metal server configuration and lifecycle management
• Architect and implement VPC networking for bare metal instances, including network attach and routing automation
• Collaborate with the Provisioning and Orchestration teams to unify OS image pipelines and ensure bare metal integrates cleanly with Vultr’s reservation and assignment systems

Platform Engineer – Bare Metal

LLM Engineer

• Strategic Account Ownership: Own and grow strategic customer relationships, acting as the primary point of contact for executive stakeholders and technical teams alike.
• Drive AI Infrastructure Revenue: Accelerate the adoption of Vultr’s AI cloud infrastructure solutions by identifying opportunities and guiding customers through the sales cycle—from initial engagement through solution architecture and scale-up.
• Customer-Centric Engagement: Understand customer priorities, technical requirements, and business goals to position Vultr’s value proposition effectively and deliver tailored solutions.
• Trusted Advisor: Provide thought leadership on AI/ML trends, infrastructure needs, and optimization strategies to senior leaders within your accounts. Help customers navigate the AI landscape and make informed architectural decisions.
• Collaborate for Success: Work cross-functionally with Product Management, Solutions Engineering, and Customer Success to ensure alignment on product capabilities, roadmap feedback, and long-term success.
• Sales Process Excellence & Operational Hygiene: Document and maintain accurate sales activity data in CRM tools to support MRR forecast accuracy.
• AI Ecosystem Engagement: Understand and leverage the AI partner ecosystem to enhance Vultr’s value proposition for Founders and C-suite executives.

Account Executive, AI Infrastructure Sales

• Strategic Account Ownership
• Drive AI Infrastructure Revenue
• Customer-Centric Engagement
• Trusted Advisor
• Collaborate for Success
• Sales Process Excellence & Operational Hygiene
• AI Ecosystem Engagement

Senior Account Executive, AI Infrastructure Sales

Developer Relations

• Lead and manage strategic Developer Relations and ecosystem programs across open source, cloud-native, and developer communities
• Build and maintain partnerships with developers, communities, technology partners, and industry stakeholders
• Drive cross-functional initiatives involving Developer Relations, Marketing, Technical, Community, Product, and Events teams
• Manage end-to-end program execution including planning, onboarding, activation, communications, and reporting
• Coordinate content, campaigns, technical initiatives, community programs, and partner activations to drive developer engagement
• Develop scalable operational processes, workflows, documentation, and reporting systems for program success
• Define and track KPIs, program health metrics, timelines, and stakeholder outcomes across multiple initiatives
• Represent Vultr at conferences, community events, ecosystem initiatives, and partner engagements

Program Manager, Developer Relations

Account Executive

Account Executive, Infrastructure Sales

General Counsel

• Draft, review, and negotiate purchase and sale agreements, ground leases, development agreements, option agreements, and easements for data center sites
• Advise on land use, zoning, and permitting matters, coordinating with local counsel and government authorities as needed
• Conduct and manage title review, survey analysis, and environmental due diligence for prospective sites
• Partner with the Site Selection Manager to evaluate legal risk and structuring options early in the site pipeline
• Manage external real estate counsel relationships, ensuring quality, cost control, and alignment with company standards
• Develop and maintain standard form agreements, negotiation playbooks, and legal guidelines for real estate transactions
• Advise the business on utility easements, interconnection rights, and fiber access agreements
• Support the Finance and M&A teams on real estate aspects of capital transactions or corporate restructuring
• Ensure compliance with local, state, and federal real estate laws and regulations across multiple jurisdictions
• Provide legal training and guidance to non-legal stakeholders on real estate risk management

Legal Counsel – Real Estate Development

Business Intelligence Analyst

• Own, and architect, and build internal datasets for business intelligence reporting
• Manage existing infrastructure such as ingestion of data from MySql database to Big Query, Curation of semantic layer between raw source data and Power BI,, internal CRM database, Power Query (M Language), Salesforce, etc.
• Build automated, accurate reporting dashboards
• Designing, developing, and maintaining business intelligence solutions using Power BI
• Manage consumption and access of Power BI reporting across the company
• Manage and improve existing data models and relationships
• Create DAX based calculations and resolve issues
• Resolve any issues related to loops and hierarchy
• Create and review models and KPIs
• Create and review visualizations
• Mature BI model to allow for users to build their own reports (self service)
• Work cross-functionally to improve business intelligence architecture and reporting
• Troubleshoot and resolve issues related to performance, environments, monitoring and operability of Power BI reports.
• Build and manage relationships with key stakeholders across business and IT organizations.
• Implement enterprise grade best practices in data ingestion, semantic layer, and reporting layer

Business Intelligence Architect

Technical Product Manager

• Own the end-to-end Observability Platform roadmap across telemetry ingestion, querying, visualization, alerting, and retention for large-scale GPU clusters and multi-tenant cloud environments
• Define Vultr's observability strategy across bare metal, VMs, Kubernetes, and managed services, aligned to infrastructure roadmap, reliability goals, and customer experience
• Drive the customer-facing observability surface across dashboards, APIs, telemetry pipelines, and topology-aware insights
• Translate low-level signals across GPU, CPU, memory, storage, and network into actionable health views, alerts, and debugging workflows for customers
• Work closely with engineering on technical tradeoffs across metrics agents, collectors, data models, telemetry pipelines, APIs, and retention architecture
• Build products for distributed AI environments by understanding how training and inference workloads behave across nodes, clusters, schedulers, and network fabrics
• Define health models that help customers quickly identify degraded nodes, performance anomalies, and cluster bottlenecks at fleet scale
• Ensure new infrastructure and platform launches are observable by design through strong partnership with compute, network, and platform teams
• Stay current on modern observability stacks and AI infrastructure trends, including how GPU workloads change performance analysis, cost attribution, and operational workflows