Role Description As a Cloud Infrastructure Engineer Principal, you will be a subject matter expert in cloud infrastructure and automation, with a focus on delivering highly secure, scalable, and performant cloud solutions. In this role, you will: - Lead the design and implementation of infrastructure as code (IaC) solutions, leveraging tools such as Terraform, Ansible, and Kubernetes. - Work closely with IT and Product teams to ensure the delivery of cloud-first/cloud-native solutions that meet or exceed RTO/RPO requirements. - Be responsible for the end-to-end target state for applications in the cloud. - Manage and maintain various cloud apps and services, including Azure web app, Azure storage, Azure monitoring, Azure Backup, Azure key vault, and SQL managed instance. - Resolve or assist with the resolution of production issues in established ITSM constructs, including Service Level Agreement (SLA) and Operational Level of Agreement (OLA) environments. Qualifications - 7+ years of experience in Azure or AWS. - 7+ years of hands-on with infrastructure design and deployment utilizing PaaS and IaaS cloud offerings. - 2+ years of experience with using configuration management and automation tools to provision and manage IT networks and systems, including Chef, Puppet, Ansible, AWS CloudFormation, PowerShell, and Terraform. Requirements - Principal level experience with open technologies, DevOps, and related IaC tools, including Terraform, Docker, Kubernetes, Jenkins, GitHub, and DSC. - Experience with Azure DevOps agile tools, working in an Agile environment. - Experience in resolving or assisting with the resolution of production issues in established ITSM constructs, including Service Level Agreement (SLA) and Operational Level of Agreement (OLA) preferred. - Azure, AWS or GCP certifications. Benefits - Excellent time away from work programs. - Comprehensive wellness initiatives. - Recognition through competitive pay and benefits. - Opportunities for personal and professional growth. - Commitment to community impact, including volunteer days and charity initiatives.

Role Description The VDI Infrastructure Engineer (Virtual Desktop Infrastructure) Architects, designs, configures, installs, and maintains the organization's Horizon Vmware VDI IT infrastructure, which may include hardware, software, servers, storage solutions, networks, or physical facilities. - Handles complex issues and problems and works with the vendor on the most complex issues. - Possesses comprehensive knowledge of the Horizon Vmware VDI subject matter. - Provides leadership, coaching, and/or mentoring to other Infrastructure Engineers. - Architect & design Horizon VMware VDI infrastructure to support new initiatives. - Configure and install Horizon Vmware VDI infrastructure to support current and new initiatives. - Implement application virtualization and coordinates testing with application owner teams. - Creates, manages, and implements gold images/build packages and application packages for Vmware environment. - Plan and maintain the VDI environment utilizing industry standard best practices. - Provide VDI architectural planning and direction. - Plan, organize, direct, and maintain infrastructure and documentation of VDI. - Ensure high availability of the operation state of the VDI. - Engage in capacity plan exercises to ensure adequate system resources. - Maintain the organization's IT infrastructure. - Configure, install, maintain, and provide support for critical software and hardware components. - Monitor system availability and troubleshoots and resolves connectivity interruptions. - Measure and improve performance and scalability. - Help develop disaster recovery or business continuity plans. - Responsible for basic management of storage solutions. - Produce documentation for systems and procedures. - Maintain knowledge of industry best practices and new trends. - Virus Management, assist in the day-to-day tasks critical patching, vulnerability remediation, meeting desired state and configurations. - Must be willing to accommodate weekend, shift, or on-call schedules when necessary. - Other duties and projects as assigned and in a timely fashion. Company Description

Role Description As vCluster’s AI Infrastructure Specialist, you will work directly with customers at the earliest and most critical stage of their journey: from bare metal GPU nodes through to a production-ready deployment. This is not a traditional professional services role; you operate pre-sale as part of a proof of value engagement scoped to reach production. You will be one of the first team members a neocloud or AI Factory engages with at a technical depth, and the playbooks you develop will scale the motion for the next hire and customer. vCluster is gaining rapid traction with GPU AI Clouds and enterprises building AI Factories: organizations that need to offer Kubernetes as a managed service on bare metal GPU infrastructure, and need to do it fast. This role exists to make that happen. - Lead Technical Deployments: Drive end-to-end technical deployments for GPU neocloud and AI Factory customers, from initial bare metal configuration to a validated vCluster environment. - Infrastructure Optimization: Configure and troubleshoot bare metal GPU node infrastructure, including CNI configuration, GPU Operator setup, distributed storage backends, and RDMA/InfiniBand. - Validation: Deploy and validate Kubernetes and vCluster to provide GPU-powered managed K8s. - Knowledge Transfer: Work alongside customer teams to build self-sufficiency, ensuring they can operate and grow the platform independently. - Scaling through Documentation: Document reusable playbooks and deployment architectures so your learnings become the next customer's head start. - Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure challenges, acting as a direct feedback loop from the field into the roadmap. - Strategic Partnering: Join Sales in the pre-sales process where deep infrastructure work is required to achieve a meaningful proof of value. Qualifications - Production K8s Mastery: 5+ years of experience deploying and operating Kubernetes in production, ideally on bare metal or in high-complexity environments. - GPU Fluency: Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level configuration for GPU nodes. - Networking Fundamentals: Deep understanding of CNI plugins, overlay networks, load balancing, and connectivity diagnosis in layered environments. - Storage Expertise: Experience with persistent volume configuration, CSI drivers, and distributed systems like Ceph, Rook, Weka, or Longhorn. - Operational Agility: Comfort operating in ambiguous, fast-moving environments where you are often writing the playbook in real time. - Modern Tech Mindset: You thrive in environments that reject legacy tech and prefer a modern stack where you can solve a variety of problems from pipelines to internal services. Requirements - Bonus points for: - Automation Skills: Experience writing automation scripts with Bash, Python, or Go. - Kubernetes Depth: Relevant certifications such as CKA (Certified Kubernetes Administrator) or experience writing Kubernetes Operators. - AI/ML Familiarity: Experience with inference serving, GPU scheduling, and the tooling around LLM deployment. - Documentation: Experience building AI Automation in documentation to contribute to a shared knowledge base. Benefits - Competitive Salary: We offer a competitive compensation package, including equity. - Platinum-Level Insurance: Health, dental, vision, and life Insurance, including plans for you and eligible dependents (benefits vary depending on country). - Flexible Working Schedule: You have a doctor’s appointment or need to head to the supermarket to get groceries at 2pm? We won’t have an issue with that. To us, results matter more than clocking in and out at the same time every day. - Workplace Flexibility: We’re very flexible about where you work. We know things can change in life and we’re happy to adjust the work environment for you along the way.

Role Description We are looking for a Staff Infrastructure Engineer to join the team responsible for building the core engine of our technical velocity. Unlike a traditional SRE role focused on operating production systems, your mission is to build the self-service tooling that empowers our product engineers to ship code securely, rapidly, and autonomously. You will work closely with the Senior Manager of Platform Engineering to treat our infrastructure as a product and our developers as customers. You will architect the "Golden Paths" that remove friction, reduce cognitive load, and enable our teams to scale in lockstep with our rapid business growth. This role offers flexibility and can be based remotely in Europe with a preference in Budapest, Hungary including occasional travel to our other offices. What You’ll Do - Golden Path Architecture: Design and implement the "Golden Paths"—standardized, automated templates for microservices and infrastructure that allow developers to deploy safely and quickly without needing deep infrastructure expertise. - Self-Service Tooling: Develop the CLI tools, portals, or API interfaces that abstract the complexity of our cloud infrastructure, allowing developers to self-serve resources. - Infrastructure as Software: Develop and maintain a library of modular, testable, and versioned Terraform modules that serve as the building blocks for all engineering teams. - CI/CD Orchestration: Architect robust, reusable GitHub Actions workflows and GitOps pipelines (e.g., ArgoCD) that automate the entire delivery lifecycle, enforcing quality gates automatically. - Automated Governance: Implement "Compliance by Design" using tools like Open Policy Agent (OPA) to automate security and compliance controls (e.g., SOC2, ISO) directly into the delivery pipeline. - Observability Vending: Working closely with SRE, ensure that every service deployed via the Golden Path automatically inherits standard logging, metrics (Prometheus), and dashboards (Grafana) without manual configuration. Qualifications - Platform & DevOps Mastery: 7+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering, with a demonstrable track record of building infrastructure and tools for other engineers. - Software Engineering Fluency: Proficient in a high-level language (e.g., Go, Python) and use it to build automation, CLIs, or platform plugins. - Cloud Native Expertise: Deep, hands-on mastery of AWS and Kubernetes, including extending Kubernetes (e.g., Operators, CRDs) to simplify developer workflows. - IaC at Scale: Expert-level knowledge of Terraform, designing reusable module hierarchies and managing remote state strategies. - Strategic Vision: Understand the balance between standardization (governance) and developer autonomy (innovation), and can design systems that support both. - Security Mindset: Experience working in regulated environments (FinTech preferred), understanding DevSecOps and how to automate compliance checks (SAST/DAST) within the pipeline. - Empathy & Communication: Excellent communication skills and a "customer-first" attitude, capable of bridging the gap between complex infrastructure and application development. Company Description SEON is the command center for fraud prevention and AML compliance, helping thousands of companies worldwide stop fraud, reduce risk and protect revenue. Powered by 900+ real-time, first-party data signals, SEON enriches customer profiles, flags suspicious behavior and streamlines compliance workflows - all from one place. SEON provides richer data, more flexible and transparent analysis, and faster time to value than any other provider on the market. We’ve helped companies reduce fraud by 95% and achieve 32x ROI, and we’re growing fast, thanks to our partnerships with some of the world’s most ambitious digital brands like Revolut, Wise, and Bilt.