• Architect and build front-end features for a multi-tenant SaaS platform using React.js and TypeScript • Work across the full stack, owning backend integrations and data access patterns end-to-end • Build and maintain a shared component library • Partner closely with product, design, and backend engineers to ship features • Integrate with PostgreSQL and NoSQL data stores • Champion code quality through thorough reviews and consistent enforcement of engineering standards • Debugging, performance tuning, and keeping production healthy • Drive architectural decisions and contribute to engineering roadmap planning • Mentor junior and mid-level engineers through pairing, feedback, and code review • Identify and address performance bottlenecks across the front-end and API layers • Engage actively in Agile ceremonies including sprint planning, standups, reviews, and retrospectives • Document what you build and contribute to a culture of knowledge sharing

Role Description We are looking for a Deployment & Maintenance Software Engineer to support the setup, deployment, and ongoing reliability of our software and hardware across client projects. - Manage server configurations - Oversee deployments - Monitor live systems - Help keep performance and uptime high - Work closely with Project Management, Software Systems, and System/DevOps teams to troubleshoot issues, improve configurations, and continuously raise the quality of what we deliver after go-live Key Responsibilities - Configure and maintain Derq’s software for stable, optimal performance - Troubleshoot and resolve server issues quickly to minimize downtime - Plan and execute software releases, updates, and security patches - Ensure configurations are consistent, compliant, and repeatable across deployments - Deploy and set up software on new hardware and new sites efficiently - Monitor deployed systems and continuously improve performance and uptime - Identify process gaps and implement practical improvements to speed up deployments and reduce incidents - Maintain clear documentation for configurations, deployments, and system status - Collaborate with engineering teams to support smooth integrations and issue resolution - Troubleshoot deployment and network issues using standard tools (e.g., SSH, ping, traceroute) - Participate in occasional shifts to support global clients and maintain reliability Qualifications - Bachelor’s degree in a relevant field (Computer Science, Information Technology, Electrical Engineering, or similar) - 2-3 years of experience in server configuration, maintenance, and deployments - Hands-on experience in Linux/Ubuntu environments, including: - Basic Bash scripting (e.g., creating folders, generating multiple files) - Basic Python scripting for automation - Solid understanding of networking fundamentals, including: - SSH and secure connections (ports, authentication methods) - Public vs private IP addresses - TCP vs UDP - Routing concepts (static vs dynamic) - NAT, port forwarding, and port mapping - Strong troubleshooting skills with a practical, step-by-step approach to resolving connectivity issues and server downtime - Familiarity with common diagnostic tools (e.g., ifconfig/ipconfig, ping, traceroute) - Strong communication skills and ability to work well with cross-functional teams - Willingness and ability to overlap 4–5 hours daily with global teams for collaboration, with on-call support if needed (stable power and reliable internet required for remote work) - High learning agility and comfort adapting to new tools, systems, and processes Requirements - Good to have: - Understanding of hardware components and on-site infrastructure - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with virtualization and containerization (e.g., VMware, Docker) - Exposure to configuration management tools (e.g., Ansible, Puppet, Chef)

• C#での文書用IDEのクラスやメソッドの設計・実装 • 既存コードの再設計 • ユーザーインタビューによるニーズの理解 • 革新的かつ実現可能な機能の提案・実装

• Own the technical vision and execution for a portfolio of PoCs, from initial research through working prototype. • Lead a small engineering team — set direction, review work, grow people, and keep the group focused and motivated. • Run lightweight research: scope a problem, survey the landscape, form a hypothesis, and define what a successful prototype must prove. • Translate fuzzy ideas into concrete plans with clear milestones, then execute against them. • Build fullstack — backend services, frontends, data pipelines, and the glue between them. • Work AI-first: use AI tooling to accelerate development, and build products that embed LLMs, agents, retrieval, and related techniques where they create real value. • Make pragmatic build-vs-buy and “good enough for a PoC” calls, balancing speed against the parts that need to be solid. • Partner with product, design, and leadership to decide which bets graduate from prototype to product.