Remote jobs

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, …

Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders. WHAT YOU'LL DO • Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. • Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. • Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. • Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. • Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. • Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. • Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. • Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR • 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. • Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) • Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. • Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). • Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” • Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. • Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. • Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU • Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on • High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships • Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions • Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment • Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale • Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization • Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise • Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all …

FOUNDING TECH RECRUITER (FREELANCE) ABOUT PRAGMATIKE Pragmatike is on a mission to help early-stage startups, and scaelups — win the talent war and build exceptional tech teams. ABOUT THE ROLE We’re looking for a Founding Tech Recruiter to build out our team as we embark on our next phase of growth. Someone smart — connected to the tech world — that moves, operates fast and efficiently — a superstar, a pirate. You'll operate as a strategic partner in the heart of the startup ecosystem, pioneering how we find, attract, and engage the world’s best talent. WHY THIS ROLE IS DIFFERENT • Shape the future of tech hiring: Engage directly with the startup and tech talent community, and become a visible advocate for Pragmatike. • Zero-to-one impact: Design the recruiting systems, processes, and standards from scratch, and partner with product and engineering to refine our hiring approach. • High leverage: Recruit across a variety of functions, from engineering to go-to-market, and see your impact on the business firsthand. YOU’RE A FIT IF YOU… • Have 5+ years of experience recruiting for technical roles in-house or at a search agency • Are at ease in startup environments and thrive amid ambiguity, rapid iteration, and high growth • Communicate clearly—both written and verbally—and make every candidate feel valued • Are well-connected, respected by peers, and have a personal brand in the recruiting community (e.g., active LinkedIn, trusted network) • Care deeply about quality, processes, and candidate experience • Are excited to work flexibly—this role is fully remote and freelance-friendly NICE TO HAVE • Previous experience recruiting at early-stage startups or high-growth tech companies • Familiarity with AI, SaaS, or B2B talent markets • Enjoy writing or speaking about recruiting, talent, or startup culture COMPENSATION & BENEFITS • Flexible freelance contract with autonomy • Direct impact on company growth and culture • Opportunity to be Pragmatike’s first recruiter and shape our future • Fully remote work environment and flexible hours • Direct partnership with founders Ready to shape the future of tech hiring at Pragmatike? Apply now and join us at the beginning of our journey. ‍