Emplois à distance

Lieu : Remote Type de contrat : Freelance Date de début : Dès que possible Expérience : 5 ans + Langues : Anglais courant requis et Français Secteur : Infrastructure cloud / Calcul GPU / Infrastructure IA À PROPOS DE L’OPPORTUNITÉ Pragmatike recrute pour le compte d’une entreprise en forte croissance spécialisée dans le calcul GPU et l’infrastructure cloud, au service de clients grands comptes qui exécutent des charges de travail d’IA et de calcul exigeantes. En tant que Senior Solutions Engineer, vous serez responsable de la dimension technique des relations avec les clients grands comptes, de la phase avant-vente jusqu’à l’onboarding, puis tout au long de l’utilisation en production. Vous travaillerez en étroite collaboration avec les clients, les account managers, ainsi que les équipes produit et infrastructure, afin que les clients puissent déployer, exécuter et faire évoluer leurs charges de travail avec succès. Ce poste, très autonome et très opérationnel, s’adresse à une personne qui aime résoudre des problèmes d’infrastructure complexes et assumer pleinement la responsabilité de l’expérience client. VOS MISSIONS • Piloter l’onboarding des clients grands comptes : gérer les accès, le réseau, le stockage, la remise des serveurs et les premières charges de travail, jusqu’à la mise en production. • Être le premier point de contact technique des clients grands comptes : comprendre et diagnostiquer les problèmes avant de les escalader au SRE ou à l’ingénierie si nécessaire. • Suivre les incidents techniques jusqu’à leur résolution : fournir le contexte aux équipes internes, coordonner la communication et s’assurer que les problèmes sont correctement clôturés. • Soutenir les activités d’avant-vente : mener la découverte technique, la conception de solutions, le dimensionnement, les démonstrations et les POC aux côtés de l’équipe commerciale. • Concevoir et conduire des POC avec des critères de succès techniques clairs, et aider les clients à passer de l’évaluation à la production. • Déboguer les charges de travail clients de manière concrète, y compris l’inférence et les workloads multi-GPU, en collaboration directe avec les équipes d’ingénierie des clients. • Surveiller proactivement la santé des comptes : identifier les risques techniques, communiquer sur les incidents et les RCA, suivre la disponibilité et détecter les problèmes potentiels avant qu’ils ne deviennent bloquants. • Travailler de façon transverse avec l’Account Management, le Produit, le SRE et l’Ingénierie pour traduire les besoins des clients en solutions techniques efficaces. • Améliorer l’expérience des clients grands comptes en identifiant les problèmes techniques récurrents et en créant de meilleurs processus d’onboarding et d’exploitation. PROFIL RECHERCHÉ • 5 ans et plus d’expérience en tant que Solutions Engineer, Solutions Architect, Technical Account Manager ou dans un rôle technique similaire en contact avec les clients. • Expérience avec l’infrastructure cloud, l’infrastructure GPU, l’infrastructure IA ou le calcul en entreprise. • Solides connaissances pratiques en : • Linux • Machines virtuelles • Kubernetes • Réseau • Stockage • GPU NVIDIA • Capacité à diagnostiquer des problèmes complexes d’infrastructure et de charges de travail IA aux côtés d’ingénieurs expérimentés côté client. • Expérience de la réalisation de démonstrations techniques, de POC, d’implémentations ou de déploiements en entreprise. • Solide compréhension de l’infrastructure de production et capacité à distinguer les problèmes côté client de ceux relevant du SRE ou de l’ingénierie. • Excellentes compétences de communication et capacité à expliquer clairement des concepts techniques complexes à des interlocuteurs techniques comme non techniques. • Très proactif et autonome : vous savez identifier ce qu’il faut faire ensuite sans attendre d’instructions. • Fort sens de l’appropriation : vous suivez les problèmes jusqu’à leur résolution au lieu de simplement les transmettre à une autre équipe. • À l’aise dans un environnement dynamique où les processus sont encore en construction. • L’anglais courant est INDISPENSABLE et le français est souhaité. À QUOI RESSEMBLE LA RÉUSSITE Dans ce rôle, vous deviendrez le référent technique d’un portefeuille de clients grands comptes. Vous devrez gérer de manière indépendante l’onboarding des clients, la découverte technique, les POC, le dépannage des charges de travail et le suivi de la santé des comptes, en partenariat étroit avec les équipes commerciales et infrastructure. L’objectif est simple : que les clients puissent faire fonctionner rapidement leurs charges de travail, réussir durablement en production et bénéficier d’un solide partenaire technique tout au long de leur parcours. Pragmatike est un employeur garantissant l’égalité des chances et s’engage à offrir des opportunités d’emploi égales à tous les …

Please note: French proficiency is required for this role. If you do not speak French, please refrain from applying. Lieu : Europe (100 % télétravail, fuseau horaire EMEA) Date de début : Dès que possible Langues : Français courant (obligatoire), anglais courant (obligatoire) Secteur : Cloud computing / IA / Deep-tech européenne À PROPOS DU POSTE Pragmatike recrute pour le compte d'une entreprise technologique en pleine croissance qui développe des solutions innovantes pour les entreprises. Dans un contexte de développement et d'expansion commerciale, l'entreprise souhaite renforcer son positionnement sur le marché et structurer son approche marketing afin d'accompagner sa prochaine phase de croissance. Nous recherchons un(e) Chief Marketing Officer (CMO) capable de définir la stratégie marketing globale tout en restant directement impliqué(e) dans son exécution. En lien étroit avec les fondateurs et la direction commerciale, vous serez responsable de construire une fonction marketing performante, de clarifier les messages de l'entreprise, de développer sa visibilité et de mettre en place des initiatives générant des opportunités commerciales concrètes. Ce poste s'adresse à un profil entrepreneurial, à l'aise dans un environnement exigeant, qui apprécie autant la réflexion stratégique que la mise en œuvre opérationnelle. Le français est utilisé au quotidien. Une maîtrise courante à l'oral comme à l'écrit est donc indispensable. VOS MISSIONS • Définir et exécuter la stratégie marketing et go-to-market globale • Porter le positionnement, les messages, la marque et la différenciation sur les marchés de l'IA et de l'infrastructure cloud • Construire les programmes de génération de demande : contenu, digital, événements, partenariats, communauté • Développer le thought leadership et les contenus destinés aux audiences techniques et aux grands comptes • Travailler main dans la main avec les équipes Sales et la direction pour bâtir un pipeline scalable et améliorer la conversion • Piloter le product marketing, les lancements, les campagnes et l'ouverture de nouveaux marchés • Structurer et manager la fonction marketing, recrutements et partenaires externes compris, à mesure que l'entreprise grandit • Suivre la performance marketing, la contribution au pipeline, le CAC et le ROI pour améliorer l'exécution en continu PROFIL RECHERCHÉ • Français courant, à l'oral comme à l'écrit (critère éliminatoire) • Anglais courant • 8 ans d'expérience ou plus en marketing B2B tech, dont une part significative à un poste de direction • Expérience avérée à la tête du marketing d'une entreprise technologique en forte croissance ou d'une startup • Solide compréhension de l'IA, de l'infrastructure cloud, du SaaS, des plateformes pour développeurs ou de marchés deep-tech voisins • Positionnement, génération de demande et stratégie go-to-market déjà construits en partant de zéro • Excellentes qualités de contenu, de storytelling et de communication, avec la capacité de rendre simples des produits techniques complexes • Habitude de travailler au contact des fondateurs et des équipes Sales, Produit et Engineering • Esprit analytique, décisions marketing appuyées sur la donnée • Capacité à rester très opérationnel(le) dans un environnement early-stage et distribué • Usage efficace des outils d'IA pour accélérer la veille, la création de contenu et les workflows marketing LES PETITS PLUS • Expérience dans une startup technologique en phase de croissance. • Connaissance des cycles de vente B2B complexes et des marchés internationaux. • Expérience auprès de clients grands comptes et de décideurs de haut niveau. • Expérience dans la création et le développement d'une équipe marketing. • Familiarité avec les environnements techniques ou les produits à forte composante technologique. POURQUOI NOUS REJOINDRE • Prendre la responsabilité du marketing à un moment clé du développement de l'entreprise. • Définir une stratégie de marque et d'acquisition avec une réelle marge de manœuvre. • Travailler directement avec les fondateurs et contribuer aux décisions stratégiques. • Construire une fonction marketing et des processus évolutifs dès le départ. • Avoir un impact concret sur la croissance commerciale et le développement international. Pragmatike s’engage à garantir un processus de recrutement équitable, transparent et inclusif. Aucun candidat ne fait l’objet de discrimination fondée sur l’âge, le handicap, le genre, l’identité ou l’expression de genre, la situation matrimoniale ou le statut de partenaire civil, la grossesse ou la maternité, la race, la religion ou les convictions, le sexe ou l’orientation sexuelle. Conformément au Règlement général sur la protection des données (RGPD), vos données personnelles sont traitées de manière légale, équitable et sécurisée. Nous collectons et utilisons vos données personnelles uniquement dans le cadre du …

Location: Fully Remote Engagement: 3-month renewable consulting mission Start Date: ASAP Compensation: Daily rate. 600 USD/day max Languages: French fluency is mandatory, English is required ABOUT THE OPPORTUNITY Pragmatike is recruiting on behalf of a growing technology company looking for an experienced Engineering Manager to take ownership of its engineering function on a consulting basis. This is a 3-month initial mission, renewable based on business needs, with an ASAP start. You will sit at the intersection of engineering leadership, technical decision-making and business priorities. The role combines team management with enough technical depth to challenge architectural decisions, unblock engineers and stay close to the technology. You will work closely with product and business stakeholders to turn company priorities into clear technical direction, while helping the engineering team improve how it builds, delivers and operates. This is a good fit for someone who is hands-on, pragmatic and comfortable taking ownership in a fast-moving environment. WHAT YOU'LL DO • Engineering leadership: Define and drive the engineering roadmap in line with product and business priorities. • Team management: Lead, mentor and support engineers, set priorities, remove blockers and help the team perform at its best. • Technical direction: Make and challenge architectural and technical decisions, with a focus on scalability, reliability and maintainability. • Delivery: Lead complex technical projects from planning through execution, ensuring teams stay aligned and focused on outcomes. • Stakeholder management: Work closely with product, sales and business stakeholders to translate requirements into clear technical objectives. • Engineering practices: Establish and improve development standards, processes and ways of working across the engineering organization. • Hands-on contribution: Stay technically close to the team and contribute directly when deeper technical input or support is needed. • Technology strategy: Evaluate new technologies and identify practical opportunities across Cloud, AI, Blockchain and other emerging technologies. • Continuous improvement: Improve engineering processes, team performance and delivery quality as the company scales. WHAT WE'RE LOOKING FOR • Significant experience as an Engineering Manager, Engineering Lead, Head of Engineering or similar technical leadership role. • Strong software engineering background with experience in one or more of Python, Ruby, Elixir or Golang. • Strong understanding of software architecture, engineering practices and modern development workflows. • Proven experience managing engineering teams and delivering complex technical projects. • Ability to balance technical depth with people leadership and remain hands-on when needed. • Strong understanding of agile methodologies and modern engineering practices. • Ability to translate business and product priorities into clear technical execution. • Strong communication and stakeholder management skills. • Pragmatic approach to problem-solving, with the ability to make decisions and move quickly. • Comfortable working independently in a remote, fast-moving environment. • Curious about emerging technologies and able to distinguish practical opportunities from hype. • Fluent French is mandatory. • Strong English communication skills are required. WHY JOIN • Take ownership of engineering leadership in a growing technology company. • Combine technical leadership, team management and hands-on engineering. • Work directly with product and business stakeholders and influence technical direction. • Have a meaningful impact from day one in a flexible, remote consulting setup. • Potential to extend the mission beyond the initial 3-month engagement based on business needs. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a European deep-tech company building a sovereign, energy-efficient cloud platform for modern AI and high-performance workloads. The company operates a distributed, highly automated infrastructure and is scaling rapidly across a multi-entity, international footprint. As part of this growth, building an AI-native finance organization is a strategic priority. We are seeking a Group Financial Controller to own and scale group accounting, consolidation, reporting, and controls across multiple legal entities. Reporting directly to the CFO, this is a senior, hands-on leadership role for a finance professional capable of structuring, automating, and modernizing accounting operations in a deep-tech environment. Strong, proven experience leveraging AI in accounting workflows is mandatory. This role is not about maintaining legacy processes, but about designing and operating an AI-first accounting function. YOUR RESPONSIBILITIES • Own the monthly, quarterly, and annual group close and consolidation processes across all entities. • Deliver accurate management accounts, as well as board and investor reporting. • Ensure IFRS and local GAAP compliance across multiple jurisdictions. • Define, document, and enforce group accounting policies and internal controls. • Lead, optimize, and scale the NetSuite ERP across the group (NetSuite experience is mandatory). • Drive automation and AI adoption in accounting operations, including reconciliations, anomaly detection, journal automation, and close acceleration. • Manage audits, statutory filings, intercompany accounting, and transfer pricing processes. • Partner closely with the CFO on strategic initiatives, scaling efforts, and financial governance. • Build robust, scalable accounting infrastructure suited to a high-growth, deep-tech organization. REQUIRED QUALIFICATIONS • 8–12+ years of experience in accounting, financial control, or similar senior finance roles. • Strong experience operating in multi-entity, international environments. • Background in SaaS, cloud, infrastructure, or deep-tech companies. • Expert-level NetSuite experience (+++). • Hands-on experience implementing AI tools in accounting workflows (mandatory). • Strong knowledge of IFRS and/or local GAAP, with solid consolidation expertise. • Qualified accountant (CPA, ACA, ACCA, or equivalent). • Proven ability to build finance infrastructure and processes from the ground up. • Comfortable operating in fast-paced, high-growth environments with high ownership. PREFERRED QUALIFICATIONS • Experience supporting rapid international expansion or group restructuring. • Exposure to automation-first or data-driven finance organizations. • Prior involvement in audit transformation or finance system implementations at scale. • Strong stakeholder management skills with executive leadership and investors. WHY JOIN US You will take on a key leadership role within a European AI and cloud deep-tech company, with the opportunity to design and scale a best-in-class, AI-native accounting function. This role offers high autonomy, strategic influence, and direct exposure to the CFO, within a fully remote EMEA setup and limited travel (~10–15%). Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Location: Fully remote, EU timezone (CET ±2h) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / GPU Infrastructure ABOUT THE OPPORTUNITY Pragmatike is hiring a Senior SRE / Infrastructure Engineer to help operate and scale a distributed infrastructure platform spanning bare-metal GPU nodes, Kubernetes, virtualization, networking, and multi-site environments. You’ll work close to the infrastructure itself, from BMCs, hardware and MAAS provisioning through Kubernetes, networking, observability, automation, and site operations. This is a hands-on role for someone who enjoys owning infrastructure end-to-end, building reliable systems, and automating everything that can be automated. Startup or hyper-growth experience is a strong plus: autonomy, ownership, and speed matter here. WHAT YOU’LL DO • Operate and maintain large-scale Linux infrastructure across Debian/Ubuntu-based bare-metal and virtualized environments. • Own MAAS-based bare-metal provisioning, including region/rack controllers, PXE, commissioning, cloud-init, node lifecycle, and API/CLI automation. • Operate and maintain production Kubernetes clusters, including upgrades, node pools, networking, storage, security hardening, and troubleshooting. • Design and maintain multi-site networking across VLANs, L2/L3 routing, bonded interfaces, VPNs, firewalls, and DNS. • Automate infrastructure provisioning and operations using Ansible, Bash/Python, OpenTofu/Terraform, and Git-based workflows. • Build and maintain automated deployment workflows including PXE, Preseed, and cloud-init. • Operate observability platforms using Prometheus, Grafana, Alertmanager, VictoriaMetrics/VictoriaLogs, or comparable tooling. • Define and improve SLIs, SLOs, alerting, and reliability practices across infrastructure and platform services. • Lead infrastructure incident response, troubleshooting, escalation, and post-incident improvements. • Maintain on-call processes and operational coverage across distributed environments. • Work close to the hardware layer, including IPMI/Redfish, BMCs, RAID, storage, hardware diagnostics, and GPU infrastructure. • Manage virtualization platforms including Proxmox, KVM/libvirt, OpenStack, or VMware, including GPU passthrough where required. • Build and maintain internal infrastructure tooling for host discovery, configuration, IPAM, hardware health, and operational automation. • Own infrastructure lifecycle activities including site onboarding, maintenance, decommissioning, drift detection, and operational runbooks. • Work closely with engineering and cross-functional teams to improve reliability, resource utilization, and operational efficiency. WHAT WE’RE LOOKING FOR • 5+ years of hands-on SRE, Infrastructure, Systems, or Platform Engineering experience. • Expert-level Linux administration, particularly Debian/Ubuntu. • Strong production experience with MAAS and bare-metal provisioning. • Expert-level, hands-on experience operating Kubernetes in production, including cluster lifecycle, networking, storage, upgrades, and troubleshooting. • Strong network engineering skills across VLANs, L2/L3 routing, bonding, VPNs, firewalls, and DNS. • Strong automation skills with Ansible, Bash and/or Python. • Experience with Terraform/OpenTofu and Git-based infrastructure workflows. • Production experience with Prometheus/Grafana or comparable observability platforms. • Experience with incident response, on-call operations, monitoring, alerting, and reliability practices. • Experience with Proxmox, KVM/libvirt, OpenStack, VMware, or comparable virtualization technologies. • Experience with bare-metal hardware, BMCs, IPMI/Redfish, storage, and hardware troubleshooting. • Strong understanding of distributed systems, container orchestration, and infrastructure reliability. • Experience with infrastructure security including RBAC, firewalls, network policies, secrets management, and security hardening. • Ability to create SOPs, runbooks, and operational processes from scratch. • Comfortable working autonomously in a fast-paced, engineering-driven environment. NICE TO HAVE • Experience operating GPU infrastructure or GPU-heavy Kubernetes/bare-metal environments. • Proxmox VE with ZFS/Ceph and GPU passthrough. • VictoriaMetrics / VictoriaLogs or similar large-scale observability platforms. • NetBox or other IPAM / infrastructure inventory platforms. • Vault, SOPS, Atlantis, or similar infrastructure security and automation tooling. • Experience with Cloudflare APIs, DNS automation, or tunnels. • Experience with UniFi or comparable site networking platforms. • Experience with service mesh or advanced CNI implementations. • Go experience, particularly for infrastructure tooling or custom exporters. • Experience with Ceph or distributed databases running on bare metal. • Experience operating infrastructure across multiple sites …

Location: Valencia, Spain, Hybrid OR Remote across EMEA Employment: Full-Time Contract Duration: 6 months, with potential extension Language: Fluent English required Industry: Cybersecurity / SIEM / Cloud Security ABOUT THE OPPORTUNITY Pragmatike is recruiting on behalf of a major international organization for a Security Operations Analyst specializing in SIEM and Threat Detection. You’ll join a global Cybersecurity Operations team focused on building, operating, and continuously improving the security monitoring capabilities protecting international organizations and their technology environments. Unlike a traditional SOC monitoring role, this position has a strong focus on SIEM administration, detection engineering, security content, data-source onboarding, use-case lifecycle management, and detection optimization. You’ll work closely with Threat Intelligence, Incident Response, and Cybersecurity Operations teams to turn security requirements and emerging threats into effective, measurable detection capabilities. WHAT YOU’LL DO • Develop, implement, validate, tune, and maintain security monitoring and detection capabilities. • Administer and optimize SIEM platforms across multiple customer environments. • Manage security detection rules and use cases throughout their lifecycle. • Onboard, integrate, test, and validate new security data sources and telemetry feeds. • Review and improve detection logic, security content, and monitoring configurations. • Collaborate with Threat Intelligence and Incident Response teams to translate threats into actionable detection capabilities. • Support cybersecurity architecture reviews and provide recommendations to improve security monitoring. • Build and maintain security metrics, dashboards, KPIs, and service-performance reports. • Evaluate detection effectiveness and identify opportunities to reduce false positives. • Contribute to quality assurance, process reviews, control validation, and corrective actions. • Maintain SOC procedures, standards, documentation, knowledge bases, and operational guidance. • Prepare technical reports, findings, and recommendations for internal and external stakeholders. WHAT WE’RE LOOKING FOR • 5+ years of relevant IT/cybersecurity experience. • Proven hands-on experience administering a SIEM platform, ideally Splunk or Microsoft Sentinel. • Strong experience with SIEM/EDR environments and technical security analysis. • Deep knowledge of Microsoft Security technologies. • Strong cloud security knowledge across Azure, AWS, and/or GCP. • Experience with platforms such as Splunk, QRadar, ArcSight, Microsoft Sentinel, or ELK. • Experience with at least one EDR platform such as Microsoft Defender for Endpoint or CrowdStrike. • Knowledge of email security, network monitoring, and incident response. • Strong Linux, macOS, and Windows knowledge. • Fluent English with excellent written and verbal communication skills. NICE TO HAVE • Experience designing SIEM architecture from initial design through implementation. • Experience building data-ingestion pipelines for diverse cloud and on-premise log sources. • AWS security monitoring experience. • Scripting experience with Python, PowerShell, Bash, Ruby, or similar. • Security certifications such as SC-200, GCIH, CEH, GCFA, GIAC, CCNA, or MCSE. • Experience working across multiple customer environments. WHY JOIN • Work beyond traditional SOC monitoring and contribute to the engineering and optimization of security detection capabilities. • Gain exposure to large-scale SIEM, EDR, cloud, and threat-detection environments. • Work directly with Threat Intelligence, Incident Response, and Cybersecurity Operations teams. • Help shape detection use cases, monitoring architecture, and operational processes. • Work on cybersecurity services supporting multiple international organizations. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Valencia, Spain, Hybrid OR Remote across EMEA Employment: Full-Time Contract Duration: 6 months, with potential extension Language: Fluent English required Industry: Cybersecurity / Cloud / Enterprise Security ABOUT THE OPPORTUNITY Pragmatike is recruiting on behalf of a major international organization for a Security Operations Analyst to join a global Cybersecurity Operations team. You’ll be part of a 24/7 Security Operations Centre (SOC) responsible for monitoring, detecting, investigating, and responding to cyber threats across enterprise, cloud, network, and endpoint environments. This is a hands-on security role focused on alert triage, threat investigation, log analysis, incident response, and security monitoring, working alongside cybersecurity specialists distributed across multiple regions. WHAT YOU’LL DO • Monitor, triage, and investigate security alerts across SIEM, EDR, Microsoft security tools, and cloud platforms. • Analyze host and network logs from Windows, Linux, databases, applications, web servers, firewalls, and NIDS/HIDS. • Investigate suspicious activity, identify root causes, and determine appropriate remediation or escalation. • Support incident response, remediation, and recovery activities. • Work closely with Incident Response and other cybersecurity teams to manage security threats. • Analyze network and security events using TCP/IP, syslog, firewall, and network monitoring data. • Identify opportunities to improve detection quality and reduce false positives through tuning and optimization. • Gather technical information from clients to improve security monitoring and detection. • Prepare and present security reports, summaries, and technical findings. • Contribute to SOC procedures, documentation, knowledge bases, and quality-control processes. • Review operational feedback and implement corrective actions to continuously improve service quality. WHAT WE’RE LOOKING FOR • 5+ years of relevant experience in IT/cybersecurity, including security alert triage and incident support. • Hands-on experience working in a SOC environment. • Strong experience with SIEM and EDR platforms. • Advanced log analysis skills across Windows/Linux, databases, applications, and infrastructure. • Strong knowledge of Microsoft Security technologies, including Microsoft Sentinel and Defender. • Experience with cloud security across Azure, AWS, and/or GCP. • Experience with SIEM platforms such as Splunk, QRadar, ArcSight, Microsoft Sentinel, or ELK. • Experience with at least one EDR solution such as Microsoft Defender for Endpoint or CrowdStrike. • Knowledge of email security, network monitoring, and incident response. • Strong knowledge of Linux, macOS, and Windows. • Fluent English with excellent written and verbal communication skills. NICE TO HAVE • Experience working on an Incident Response team with Tier-1/Tier-2 incident triage. • AWS security monitoring experience across IaaS, PaaS, or SaaS environments. • Scripting experience with Python, PowerShell, Bash, Ruby, or similar. • Certifications such as Microsoft SC-200, GCIH, CEH, GCFA, GIAC, CCNA, or MCSE. • Customer-facing cybersecurity experience. WHY JOIN • Work inside a global 24/7 cybersecurity operation protecting international organizations. • Gain exposure to large-scale cloud, SIEM, EDR, network, and endpoint security environments. • Collaborate with cybersecurity specialists across multiple regions and disciplines. • Work directly on real-world threat detection and incident response. • Build experience across a broad enterprise security technology stack. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a AI Infrastructure Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES • Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent • Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models • Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers • Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance • Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health • Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments • Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities • Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS • 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems • Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent • Strong background in container orchestration and operating GPU-based workloads in production • Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines • Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) • Strong understanding of distributed systems, performance tuning, and production reliability engineering • Ability to effectively use AI coding assistants to accelerate development and debugging workflows • Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS • Experience with ML platforms such as Kubeflow, MLflow, or KubeAI • Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems • Experience with cost optimization across different GPU types and inference workloads • Background in early-stage startups or greenfield infrastructure projects • Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US • Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform • Build foundational ML inference systems from the ground up in a high-growth, well-funded startup • Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture • Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems • Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Location: Fully remote (EMEA timezone) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / AI / European Deep-Tech SaaS ABOUT THE ROLE Pragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastructure startup building next-generation AI-native cloud services. The company is redefining how compute is delivered by providing GPU-powered infrastructure for AI/ML workloads, secure storage, and high-speed data transfer through a decentralized architecture that significantly reduces environmental impact compared to traditional cloud providers. We are seeking a ML Ops Engineer with strong experience in production-grade model serving and infrastructure for AI systems. This is a highly technical, hands-on role focused on building scalable, reliable, and efficient ML inference platforms powering real-time AI applications. You will be responsible for designing and operating the core infrastructure that serves machine learning models at scale. You will work closely with infrastructure, platform, and applied AI teams to ensure high availability, low latency, and cost-efficient inference systems. Strong ownership, production mindset, and experience with distributed GPU systems are essential. YOUR RESPONSIBILITIES • Build and operate production-grade model serving infrastructure using frameworks such as vLLM, TGI, Triton, or equivalent • Design and implement robust deployment pipelines with blue/green and canary rollout strategies for ML models • Develop and maintain auto-scaling systems, multi-model serving architectures, and intelligent request routing layers • Optimize GPU utilization, memory efficiency, network throughput, and model artifact storage performance • Design observability systems for tracking inference latency, throughput, GPU usage, cost metrics, and system health • Manage model registries and CI/CD pipelines enabling automated and reproducible model deployments • Own the full lifecycle of ML systems from development through production, including operational support and on-call responsibilities • Define engineering best practices and contribute to platform scalability in a fast-moving startup environment REQUIRED QUALIFICATIONS • 4+ years of experience in ML Ops, Platform Engineering, SRE, or similar infrastructure roles focused on ML systems • Hands-on experience with model serving frameworks such as vLLM, TGI, Triton, or equivalent • Strong background in container orchestration and operating GPU-based workloads in production • Experience with MLOps tooling including model registries, experiment tracking, and automated deployment pipelines • Proficiency in Python and infrastructure-as-code tools (e.g., Terraform, Helm, or similar) • Strong understanding of distributed systems, performance tuning, and production reliability engineering • Ability to effectively use AI coding assistants to accelerate development and debugging workflows • Ownership mindset with the ability to operate independently in a remote-first environment PREFERRED QUALIFICATIONS • Experience with ML platforms such as Kubeflow, MLflow, or KubeAI • Knowledge of GPU scheduling, CUDA/ROCm optimization, or multi-tenant inference systems • Experience with cost optimization across different GPU types and inference workloads • Background in early-stage startups or greenfield infrastructure projects • Proven experience building production systems from scratch rather than maintaining legacy platforms WHY JOIN US • Take ownership of critical infrastructure powering a rapidly scaling AI-native cloud platform • Build foundational ML inference systems from the ground up in a high-growth, well-funded startup • Work at the intersection of distributed systems, GPU computing, and sustainable cloud architecture • Gain deep expertise in next-generation AI infrastructure and large-scale model serving systems • Influence core engineering decisions and define best practices that will scale with the company. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration.

Job Description Location: Fully remote EU timezone (CET ±2h) Start date: ASAP Languages: Fluent English is mandatory Industry: Cloud Computing We are hiring at Pragmatike to expand our team and drive the growth of our internal projects. Our focus is on developing cutting-edge solutions in Cloud Computing, while fostering a culture of collaboration and innovation. Joining us means being part of a passionate team where your ideas and skills directly contribute to shaping tomorrows technologies. If you're excited about working on ambitious projects in a dynamic and flexible environment, we'd love to hear from you! RESPONSIBILITIES • Operate and maintain Linux-based infrastructure (Debian/Ubuntu). • Deploy, manage, and scale Kubernetes clusters across bare-metal, virtualized, and on-prem environments. • Oversee full cluster lifecycle: upgrades, node pools, networking, storage, and security hardening. • Implement automation for provisioning and operations using Ansible, Bash/Python, and GitOps workflows. • Design and maintain networking architecture including VLANs, L2/L3 routing, VPNs, and multi-site connectivity. • Build automated deployment workflows (PXE boot, Preseed, cloud-init). • Deploy and maintain observability stacks (Prometheus/Grafana, Loki, ELK, Graylog). • Lead incident response and escalation activities across the platform. • Improve system availability and reduce latency at all levels. • Define and implement SLOs/SLIs at multiple infrastructure levels (physical network/hardware, platform virtualization, software services). • Optimize alerting and monitoring pipelines to provide actionable insights. • Establish and maintain on-call schedules to ensure coverage across timezones. • Develop Standard Operating Procedures (SOPs) for repeatable operations and maintenance tasks. • Coordinate physical maintenance for Policlouds (periodic maintenance, hardware issues, DC-Ops). • Manage virtualization and orchestration layers (OpenStack, Proxmox, VMware). • Help develop and maintain overall architecture across all products. • Plan resources for future initiatives, accounting for demand and growth projections. • Work with development teams to improve overall quality and optimize resource utilization. • Collaborate with cross-functional stakeholders (Hivenet, Policloud, Customer Success teams). REQUIREMENTS • Expert-level, hands-on experience operating Kubernetes in production environments. • Strong network engineering skills (VLANs, L2/L3 routing, VPNs, multi-site connectivity) - this is essential for the role. • Strong proficiency with Linux systems administration (Debian/Ubuntu). • Solid understanding of networking fundamentals and ability to design complex network architectures. • Experience building and maintaining automation workflows (Ansible, Bash/Python, Git-based). • Experience with observability stacks such as Prometheus, Grafana, ELK, Loki, or Graylog. • Background with virtualization technologies (OpenStack, Proxmox, VMware). • Experience with bare-metal provisioning and MAAS (Metal as a Service). • Strong understanding of distributed systems and container orchestration. • Process-oriented mindset with ability to develop SOPs and operational procedures from scratch. • Experience with incident response, escalation procedures, and on-call rotations. • Ability to work autonomously in a fast-paced, engineering-driven environment. • Strong technical skills combined with alignment to team values. NICE TO HAVE • Experience with service mesh (Istio, Linkerd) or advanced CNI implementations. • Knowledge of Cloudflare APIs, DNS automation, or tunnel configurations. • Experience with GPU infrastructure, node preparation, or resource scheduling. • Familiarity with security best practices (RBAC, firewalls, network policies). • Exposure to IT asset management or license tracking workflows. • Experience working in multi-timezone environments and coordinating across distributed teams. • Background establishing reliability practices and SRE frameworks in growing organizations. Why Join Us: • 100% remote work with flexible hours • High-impact role with autonomy and ownership • Collaborative and international engineering team • Cutting-edge tech stack with strong focus on reliability and automation.

Location: Fully remote, EU timezone (CET ±2h) Start date: ASAP Languages: Fluent English required Industry: Cloud Computing / GPU Infrastructure ABOUT THE OPPORTUNITY Pragmatike is hiring a Senior SRE / Infrastructure Engineer to help operate and scale a distributed infrastructure platform spanning bare-metal GPU nodes, Kubernetes, virtualization, networking, and multi-site environments. You’ll work close to the infrastructure itself, from BMCs, hardware and MAAS provisioning through Kubernetes, networking, observability, automation, and site operations. This is a hands-on role for someone who enjoys owning infrastructure end-to-end, building reliable systems, and automating everything that can be automated. Startup or hyper-growth experience is a strong plus: autonomy, ownership, and speed matter here. WHAT YOU’LL DO • Operate and maintain large-scale Linux infrastructure across Debian/Ubuntu-based bare-metal and virtualized environments. • Own MAAS-based bare-metal provisioning, including region/rack controllers, PXE, commissioning, cloud-init, node lifecycle, and API/CLI automation. • Operate and maintain production Kubernetes clusters, including upgrades, node pools, networking, storage, troubleshooting, and cluster lifecycle management. • Design and maintain multi-site networking across VLANs, L2/L3 routing, bonded interfaces, VPNs, firewalls, and DNS. • Automate infrastructure provisioning and operations using Ansible, Bash/Python, OpenTofu/Terraform, and Git-based workflows. • Build and maintain automated deployment workflows including PXE, cloud-init, and infrastructure-as-code pipelines. • Operate observability platforms using Prometheus, Grafana, Alertmanager, VictoriaMetrics/VictoriaLogs, and related tooling. • Define and improve SLIs, SLOs, alerting, and reliability practices across infrastructure and platform services. • Lead infrastructure incident response, troubleshooting, escalation, and post-incident improvements. • Maintain on-call processes and operational coverage across distributed environments. • Work close to the hardware layer, including IPMI/Redfish, BMCs, RAID, storage, hardware diagnostics, and GPU infrastructure. • Manage virtualization platforms including Proxmox VE and KVM/libvirt, including GPU passthrough where required. • Build and maintain internal infrastructure tooling for host discovery, configuration, IPAM, hardware health, and operational automation. • Own infrastructure lifecycle activities including site onboarding, maintenance, decommissioning, drift detection, and operational runbooks. • Work closely with engineering and cross-functional teams to improve reliability, resource utilization, and operational efficiency. WHAT WE’RE LOOKING FOR • 5+ years of hands-on SRE, Infrastructure, Systems, or Platform Engineering experience. • Expert-level Linux administration, particularly Debian/Ubuntu. • Strong production experience with MAAS and bare-metal provisioning. • Expert-level, hands-on experience operating Kubernetes in production, including cluster lifecycle, networking, storage, upgrades, and troubleshooting. • Strong networking fundamentals and practical experience with VLANs, L2/L3 routing, bonding, firewalls, VPNs, and DNS. • Strong automation skills with Ansible, Bash and/or Python. • Experience with Terraform/OpenTofu and Git-based infrastructure workflows. • Production experience with Prometheus/Grafana and comparable observability platforms. • Experience with incident response, on-call operations, monitoring, alerting, and reliability practices. • Experience with Proxmox, KVM/libvirt, VMware, or comparable virtualization technologies. • Experience with bare-metal hardware, BMCs, IPMI/Redfish, storage, and hardware troubleshooting. • Strong understanding of distributed systems, container orchestration, and infrastructure reliability. • Ability to create SOPs, runbooks, and operational processes from scratch. • Comfortable working autonomously in a fast-paced, engineering-driven environment. NICE TO HAVE • Experience operating GPU infrastructure or GPU-heavy Kubernetes/bare-metal environments. • Proxmox VE with ZFS/Ceph and GPU passthrough. • VictoriaMetrics / VictoriaLogs or similar large-scale observability platforms. • NetBox or other IPAM / infrastructure inventory platforms. • Vault, SOPS, Atlantis, or similar infrastructure security and automation tooling. • Experience with Cloudflare APIs, DNS automation, or tunnels. • Experience with UniFi or comparable site networking platforms. • Experience with service mesh or advanced CNI implementations. • Go experience, particularly for infrastructure tooling or custom exporters. • Experience with Ceph or distributed databases running on bare metal. • Experience operating infrastructure across multiple sites and timezones. WHY JOIN US • 100% remote with flexible working hours • High-impact role with …

JOB DESCRIPTION Location: Remotev- EMEA (occasional travel to client sites and HQ) Start date: ASAP Languages: Fluent English is mandatory; French is a plus Industry: AI Infrastructure / Sovereign Cloud / Modular Data Centers Pragmatike is recruiting on behalf of a fast-growing European deep-tech company building a sovereign, energy-efficient alternative to traditional hyperscale cloud providers. Our client is one of the very few companies in the sector to control the full value chain end to end flexible energy sourcing, modular data center infrastructure, and distributed orchestration software, delivered as one integrated AI compute platform. As part of its rapid growth, the company is strengthening the Finance team of its infrastructure division, which deploys modular micro data centers for cities, institutions, energy producers and enterprises. PROFESSIONAL BACKGROUND: We're looking for a senior Finance Business Partner who is equally comfortable working with internal operational and commercial teams and engaging directly with end clients. This is not a pure reporting role: you will build the financial models that underpin investment decisions, and you'll be confident presenting and defending ROI directly in front of a client or partner. Experience in a startup or hyper-growth environment, and/or in infrastructure, energy or capex-heavy industries (data centers, industrials, cleantech), is a strong plus. Autonomy, analytical rigor and ease with client-facing communication are essential. YOUR RESPONSIBILITIES: • Act as Finance Business Partner to the commercial, operations and product teams, bringing financial analysis to bear on their key decisions. • Build and maintain financial simulation models (business plans, unit economics per infrastructure unit, deployment scenarios) to support the company's growth strategy. • Model and present ROI and TCO of infrastructure deployments directly to clients (cities, institutions, energy producers, enterprises), supporting the commercial team throughout the sales cycle. • Own monthly financial reporting, profitability analysis by site/unit, and tracking of key performance indicators (margin, cash conversion, payback period). • Contribute to budgeting and forecasting, and challenge operational assumptions in partnership with business teams. • Analyze the cost structure of manufacturing and deploying infrastructure units, and identify optimization levers with the industrial/production teams. • Prepare financial materials for governance bodies (executive committee, board, investors) and support due diligence for fundraising or asset financing. • Collaborate with finance teams across the group's other operating companies to ensure consistency of models and consolidated reporting. WHAT YOU BRING: • Proven senior-level experience in corporate finance, FP&A, or business finance, ideally in a capex-intensive environment (infrastructure, energy, industrials, telecom, data centers). • Excellent financial modeling skills (advanced Excel, ROI models, NPV/IRR, multi-scenario business plans). • Demonstrated ability to present and simplify complex financial analysis for non-financial audiences, including clients and partners. • Solid understanding of the cost and profitability mechanics of physical assets (capex, depreciation, operating costs, recurring revenue). • Strong analytical skills, structured thinking, and rigor in producing finance deliverables under time pressure. • Fluent English (mandatory, international working environment); working knowledge of French is a plus. • Comfortable operating in a fast-growing environment with shifting priorities and limited established process. NICE TO HAVE: • Prior experience in AI infrastructure, cloud, data centers, or renewable energy. • Familiarity with asset financing mechanisms (project finance, leasing, structured financing) applied to industrial equipment. • Experience in a multi-entity / multi-country environment, with group-level consolidated reporting. • Interest in BI and reporting automation tools (Power BI, SQL, scripting). • Prior experience in consulting, investment banking, or private equity, with a focus on infrastructure or the energy transition. WHY JOIN US: Our client is one of the very few companies worldwide to control the entire AI infrastructure value chain, from energy through to orchestration software. You will join a team deploying a tangible technology, modular units operational within months, on an ambitious growth trajectory toward becoming one of the largest distributed infrastructure networks globally. Expect real autonomy from day one, direct access to clients and group leadership, and the opportunity to build the financial foundations of a company building something that doesn't exist yet. Pragmatike is dedicated to a fair, transparent, and inclusive recruitment process. We ensure that no applicant is discriminated against based on age, …