Jobs at Pragmatike

Monitor and investigate security alerts across SIEM, EDR, cloud, network, and endpoint environments. Analyze logs, conduct alert triage, support incident response and remediation, identify root causes, tune detections, reduce false positives, prepare security reports, and improve SOC procedures. The role operates within a global 24/7 Security Operations Centre and requires collaboration with incident response and cybersecurity teams.

Monitor, triage, and investigate security alerts across SIEM, EDR, cloud, network, endpoint, and Microsoft security environments. Analyze logs, investigate threats, support incident response and remediation, tune detections, reduce false positives, prepare reports, and improve SOC procedures and service quality within a global 24/7 security operations team.

Administer and optimize SIEM platforms, develop and tune threat-detection capabilities, manage detection use cases, onboard security data sources, and improve monitoring effectiveness. The role collaborates with threat intelligence and incident response teams, supports cloud security architecture, builds dashboards and metrics, reduces false positives, and maintains SOC procedures and documentation across multiple customer environments.

Monitor, triage, and investigate cybersecurity alerts across SIEM, EDR, cloud, endpoint, network, and enterprise environments. Analyze logs, investigate suspicious activity, support incident response and remediation, coordinate escalations, improve detection quality, tune whitelists, and prepare technical reports. Maintain SOC documentation and contribute to operational improvements within a global 24/7 security operations centre.

Lead the design, development, and deployment of scalable Android applications using Kotlin. Own mobile architecture, performance optimization, offline support, synchronization, security, testing, and Play Store releases. Integrate with backend and distributed systems while collaborating with infrastructure and product teams. Contribute to Agile planning, code reviews, technical standards, CI/CD, and mentoring. The role requires strong architectural judgment and ownership across the full mobile development lifecycle.

Build production-grade AI and machine learning security products using Go services and Python pipelines. Develop LLM-powered analysis, RAG, classification, structured extraction, and agentic AI capabilities; establish evaluation datasets, metrics, regression suites, and drift monitoring. Collaborate with security researchers to translate threats into actionable detections, and deploy cloud-native solutions using Docker, Kubernetes, and major cloud platforms.

Own the roadmap, requirements, prioritization, and launches for AI security platform areas such as cloud discovery, gateway security, agentic security, and forensics. Lead discovery with enterprise security stakeholders, translate needs into PRDs, partner with engineering and security research, define adoption and detection metrics, and support positioning and enablement. The role requires experience shipping B2B security or infrastructure products, technical fluency across cloud and AI systems, and daily use of AI-assisted workflows.

Build and maintain a React and TypeScript interface for an agentic security platform. Develop high-performance, data-intensive timelines, graphs, tables, filters, searches, dashboards, and policy management tools. Collaborate with Go backend and design teams through REST and gRPC-web APIs. Own frontend architecture, accessibility, testing, performance, design-system contributions, and AI-assisted development workflows.

Own and maintain end-user, administrator, API, deployment, integration, release, and in-product documentation for an AI security platform. Collaborate with Go engineers, product managers, Support, security researchers, and customers to document APIs, configurations, integrations, and code examples. Use docs-as-code workflows and AI tools to produce accurate content, validate technical details, maintain standards, and identify documentation gaps.

Build and operate production Go backend services for AI security products. Responsibilities include API and data model design, event-driven pipelines, cloud integrations, reliability engineering, testing, observability, CI/CD, Python tooling, and multi-tenant systems. Collaborate with AI engineers and security researchers on threat models and enforcement logic, while using AI coding assistants throughout development.

Build Go-based endpoint agents and backend services for AI and LLM security across Windows, macOS, and Linux. Responsibilities include endpoint detection, policy enforcement, fleet management, telemetry ingestion, health monitoring, performance optimization, cross-platform testing, code signing, release engineering, and production readiness. The role requires systems programming, concurrency, networking, distributed-service development, and effective use of AI-assisted coding tools.

Own the launch and day-to-day operations of a health technology company in Japan. Build local partnerships, vendor relationships, operational processes, and commercial opportunities while navigating the Japanese healthcare ecosystem. Serve as the local representative and coordinate with global leadership to adapt and grow the business. This entrepreneurial role requires autonomous execution, stakeholder management, and founder-level ownership in an ambiguous startup environment.

Own the launch and day-to-day operations of a health technology company in Japan. Build the local presence, establish partners and processes, develop commercial opportunities, navigate the healthcare ecosystem, and represent the company with local stakeholders. The role requires entrepreneurial ownership, independent execution, and close collaboration with global leadership to adapt and grow the Japan business.

The Chief Marketing Officer will define and execute global marketing and go-to-market strategy for an AI-native cloud infrastructure startup. Responsibilities include positioning, brand, demand generation, content, thought leadership, product marketing, launches, partnerships, pipeline development, performance measurement, and building the marketing organization. The role partners closely with founders, Sales, Product, and Engineering to translate complex deep-tech offerings into compelling messages for technical and enterprise audiences.

Test and validate GPU/HPC servers across factory floors and hardware labs. Responsibilities include board and system bring-up, stress testing, firmware and driver troubleshooting, GPU benchmarking with CUDA and NCCL, quality control, root-cause analysis, test procedure development, documentation, and coordination with manufacturers and suppliers in English and Mandarin.

Own quality control, hardware bring-up, validation, stress testing, and end-to-end testing of GPU/HPC servers across factory and lab environments. Diagnose hardware, firmware, driver, thermal, power, and interconnect issues; validate CUDA and NCCL performance under Linux; define test procedures and acceptance criteria; document results; and coordinate with manufacturing partners and suppliers in English and Mandarin.

Own quality control, hardware bring-up, validation, stress testing, and end-to-end acceptance of GPU/HPC servers across manufacturing sites. Diagnose hardware, firmware, driver, thermal, power, and interconnect issues; validate CUDA and NCCL performance under Linux; maintain test procedures and QC checkpoints; document yields and failures; and coordinate with manufacturing partners and suppliers in English and Mandarin.

Operate and scale production Kubernetes infrastructure across bare-metal, virtualized, and on-prem environments. Manage Linux systems, networking, virtualization, provisioning automation, observability, incident response, security hardening, SLOs, and on-call operations. Develop SOPs, coordinate physical infrastructure maintenance, plan capacity, improve reliability and latency, and collaborate with engineering and cross-functional teams in a distributed environment.

Operate and scale Linux-based infrastructure and production Kubernetes clusters across bare-metal, virtualized, and on-premises environments. Responsibilities include automation, networking architecture, provisioning, observability, virtualization, incident response, SLO/SLI implementation, on-call coordination, SOP development, capacity planning, and platform architecture. The role also coordinates physical infrastructure maintenance and collaborates with development and cross-functional teams to improve reliability, performance, and resource utilization.

Operate and scale production Kubernetes infrastructure across Linux, bare-metal, virtualized, and on-premises environments. Own cluster lifecycle, networking, automation, provisioning, observability, incident response, SLOs, on-call operations, virtualization, and reliability improvements. Develop SOPs, coordinate physical infrastructure maintenance, plan capacity, and collaborate with engineering and cross-functional teams in a fully remote, international environment.