Role Description We are looking for a talented Infrastructure Team Lead to join us and be part of the team responsible for improving and scaling the infrastructure powering Leadfeeder. Keeping our services fast, reliable, and secure is one of the key parts of how we succeed every day helping thousands of our customers using our platform. Infrastructure as Code and Automation is at the core of what we do. You’ll work to enable and support our product and engineering teams to spin up, maintain and monitor the necessary infrastructure they need to run their applications and services. As part of our Site Reliability Engineering team, you’ll get the opportunity to work with a team of experienced Site Reliability Engineers that work with a varied range of technologies such as Terraform, K8s, Istio or Ansible, in order to build and maintain our Hybrid Cloud Infrastructure powering our products in AWS. Responsibilities - Lead and develop a high-performing team of Site Reliability Engineers responsible for our hybrid cloud infrastructure in AWS, with an on-premise extension in Hetzner. - Design, document, and lead the implementation of reliable and secure infrastructure solutions following industry best practices. - Oversee technical analysis, cost estimation and optimization, platform and system design, architectural compliance, resource planning, and delivery milestones. - Engage in hands-on technical work alongside the team to maintain deep understanding of the infrastructure, and lead incident response during critical issues. - Define team goals and strategy, building strong relationships with internal stakeholders across the organisation. - Manage and coordinate the on-call rotation, including escalation processes, across infrastructure and software engineering teams. - Champion engineering best practices and drive continuous improvement in production environment quality and reliability. Qualifications - 10+ years of hands-on experience in infrastructure and related services. - Strong technical background in a hybrid cloud infrastructure including AWS, IaC (Terraform), Kubernetes, and monitoring/observability tooling. - Proven leadership or management experience with a small infrastructure/SRE team, strong interpersonal and people management skills. - Experience setting strategic vision and owning complex technical initiatives from conception to delivery. - Experience utilising AI to improve efficiencies. - A disciplined approach to maintaining and enforcing engineering best practices. - Ability to collaborate effectively with cross-functional teams and business units. - Detail-oriented and self-organised, with the ability to manage multiple projects and priorities of varying complexity. - Strong communication skills in English, both written and verbal. - Comfortable working in a fully remote environment. - Be physically located within Europe. Benefits - The chance to work with a very knowledgeable, high-achieving and fun team. - An international, diverse, dynamic and committed work environment. - The opportunity to work remotely, with a flexible work schedule. - Mental Health support with Auntie.

• Communicate with client technical staff (engineers) to: Understand client requirements and specifications • Identify required system components • Collaborate with client engineers to select appropriate system solutions to ensure adequate and efficient migration and issue remediation processes and systems • Develop solutions for client systems management projects, such as: Identify required hardware and software to satisfy client needs. • Direct installation and configuration of Windows servers operating system, electronic mail, monitoring and migration tools. • Test and verify proper operation of changes made to client systems, including verification of interoperability and scalability of system architecture. • Provide recommendations for Local Area Network (LAN) and firewall changes. • Document specifications and project implementation reports for clients. • Train clients with respect to system administration and maintenance.

• Diseñar, implementar y optimizar infraestructura cloud en entornos GCP asegurando disponibilidad y escalabilidad. • Administrar y asegurar accesos, roles IAM y controles de ciberseguridad bajo buenas prácticas y cumplimiento (PCI). • Automatizar y gestionar despliegues mediante IaC (Terraform) y pipelines CI/CD en Azure DevOps, incluyendo entornos contenerizados.

Role Description We are looking for a hands-on IT & Infrastructure Engineer to support and operate the compute, network, and EDA environments required for complex SoC design across digital and analog domains. This role will work closely with the IT & Infrastructure Architect to ensure reliable day-to-day operations while building scalable systems for EDA workflows, cloud infrastructure, and AI-enabled engineering environments. Key Responsibilities - EDA & Engineering Support - Install, configure, and maintain EDA tools and environments (Synopsys, Cadence, Siemens/Mentor) - Support engineers with: - Tool setup issues - Environment/debug problems - Flow execution challenges - Assist in EDA license management: - Monitoring usage - Basic forecasting inputs - Troubleshooting license issues - Compute & Systems Operations - Manage and maintain compute servers, clusters, and storage systems - Monitor system health, performance, and utilization - Support job schedulers (LSF, Slurm, etc.) and ensure smooth execution of workloads - Assist in managing cloud infrastructure (AWS or similar): - Instance setup and scaling - Basic cost tracking and optimization - Execute tasks related to cloud vs on-prem workloads under guidance - Network & IT Operations - Support network configuration and troubleshooting - Manage: - Linux systems and user environments - Access control and permissions - Backup and data management processes - Ensure uptime and responsiveness of infrastructure for engineering teams - AI Infrastructure Support - Assist in deployment and maintenance of AI/ML tools and platforms - Help manage: - API access and token usage - Resource allocation for AI workloads - Support implementation of AI usage policies and guardrails - Automation & Tooling - Write scripts (Python/Bash) to: - Automate routine tasks - Improve system efficiency - Simplify engineering workflows - Contribute to building repeatable and scalable infrastructure processes Qualifications - Bachelor’s degree in Computer Science, IT, Electronics, or related field - 3–7 years of experience in IT systems, infrastructure, or DevOps roles - Strong working knowledge of: - Linux system administration - Basic networking concepts - Scripting (Python, Bash, or similar) - Exposure to: - Compute clusters or server environments - Cloud platforms (AWS preferred) - Strong problem-solving and debugging skills Preferred Qualifications - Exposure to EDA environments (even at a basic level) - Familiarity with job schedulers (LSF, Slurm) - Experience supporting engineering teams or technical workloads - Basic understanding of AI/ML infrastructure or tools - Knowledge of storage systems (NFS, NAS, etc.) Key Attributes - Strong execution focus and willingness to get hands dirty - High responsiveness and support mindset toward engineering teams - Eagerness to learn EDA and semiconductor workflows - Attention to detail and reliability - Ability to work in a fast-paced startup environment Success Metrics - Fast resolution of infrastructure and tool issues - High system uptime and reliability - Smooth execution of EDA workflows and regressions - Improved efficiency through automation - Strong support satisfaction from engineering teams Growth Path This role is designed to grow into Senior Infrastructure Engineer, or Infrastructure/Platform Architect, with deeper ownership of EDA, cloud strategy, and AI platforms.