• Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code) • Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements • Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org • Reduce friction for engineers adopting these tools while maintaining security and auditability • Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows • Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need • Define where IaaS’s responsibility ends and consuming teams’ begins • Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained • Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits • Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org • Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment • Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows) • Build visibility into AI/ML infrastructure costs and implement controls consistent with how compute costs are managed elsewhere • Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns

• Own the rollout and operational management of AI-assisted development tools across engineering (e.g., Cursor, Copilot, Claude Code) • Define and implement access controls, license management, and usage policies that satisfy SOC2/ISO 27001 requirements • Build cost tracking and reporting so leadership has visibility into AI tool spend and usage patterns across the org • Reduce friction for engineers adopting these tools while maintaining security and auditability • Partner with teams across the org to identify, build, and support internal AI applications such as RAG pipelines, agents, and automation workflows • Evaluate and recommend tooling, frameworks, and patterns based on what teams actually need • Define where IaaS’s responsibility ends and consuming teams’ begins – this boundary doesn’t exist yet; you’ll help draw it • Advise on data governance policies for LLM usage, including what data can go into which models, where outputs are stored, and how audit trails are maintained • Ensure AI infrastructure and tooling meets existing SOC2 and ISO 27001 controls and can be evidenced in audits • Provide leadership with clear, regular reporting on AI adoption, cost, risk, and usage across the org • Stand up and manage AI/ML infrastructure, primarily on GCP (Vertex AI) within OpenVPN’s existing environment • Design the Terraform modules and IaC patterns for AI infrastructure that follow the team’s existing conventions (e.g., Atlantis-driven GitOps workflows) • Build visibility into AI/ML infrastructure costs and implement controls (spot instances, auto-scaling policies, idle resource cleanup) consistent with how compute costs are managed elsewhere • Evaluate build-vs-buy decisions for AI/ML infrastructure components and managed services with an eye toward operational fit within existing patterns

• Diseñar, implementar, administrar y soportar ambientes Oracle Cloud Infrastructure (OCI) • Gestionar servicios de networking, cómputo, almacenamiento y seguridad en Oracle Cloud • Monitorear y optimizar ambientes OCI en entornos productivos y no productivos • Atender incidentes, troubleshooting y actividades de soporte de infraestructura • Colaborar con equipos de arquitectura y desarrollo en soluciones cloud escalables • Participar en proyectos de modernización tecnológica y migración a la nube • Documentar procedimientos técnicos y estándares operativos • Garantizar disponibilidad, rendimiento y seguridad de las plataformas Oracle.

Role Description Dragos is seeking a Senior Cloud Infrastructure Engineer to join our Core Infrastructure Engineering team. This fully remote role is ideal for an experienced engineer passionate about Infrastructure as Code (IaC), cloud automation, and production reliability. - Design, build, and maintain scalable cloud infrastructure services in AWS and GCP - Contribute production-quality Go and Python code to existing cloud services - Develop and own automation and software deployment pipelines with maximum efficiency - Implement Infrastructure as Code (IaC) practices using Terraform, Ansible, Packer, or similar tools - Maintain and improve our custom RHEL-based OS platform - Design and enhance secure, reliable field software update capabilities - Manage production software release pipelines, ensuring stability and efficiency - Maintain system security plans, ensuring compliance with best practices for security, observability, reliability, and performance - Configure and optimize cloud networking components (firewalls, VPNs, load balancers, routing tables, etc.) - Support and improve internal DevOps tooling for engineering teams - Monitor and enhance service availability, ensuring high uptime and resilience - Collaborate with engineering teams to implement observability, logging, and security best practices Qualifications - 5-10 years of experience working with containerized applications (Docker, Kubernetes, etc.) - Strong proficiency in Go and/or Python - Experience provisioning virtual machines and infrastructure automation with Terraform, Packer, Ansible, or similar tools - Hands-on experience deploying and managing cloud-based infrastructure in AWS or GCP - Experience with maintaining OS package mirrors, package deployment infrastructure, and custom DEB or RPM packaging (preferred) - Strong knowledge of production software release pipeline and asset management concepts - Familiarity with cloud security best practices and the ability to author customer-facing security documentation - Experience maintaining system security plans for cloud services and their dependencies - Proven track record of building and maintaining cloud-based or virtualized appliance clusters for high-availability (HA) - Strong ownership mindset, accountability for production stability, and ability to thrive in a fast-paced environment - Excellent problem-solving, communication, and collaboration skills. Requirements - Salary: $165,000 - Competitive Equity Package - Comprehensive Benefits Plan Company Description Dragos is on a relentless mission to defend industrial organizations that provide us with the necessities of modern civilization; running water, functioning electricity, and safe industrial working environments. As the market leader in ICS/OT Cybersecurity, we are dedicated to arming our customers with best-in-class technology, threat intelligence, and services to protect their systems as effectively and efficiently as possible. We’re a remote-first culture with operations in North America, Europe, the Middle East, and APAC. We’re looking for mission-oriented teammates who embody our core values of authenticity, transparency, and trust. Are you ready to make a difference? Come join a mission that can save the world!