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At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost.
We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.
At Sunrise Robotics, this role ensures that our robots can be deployed, updated and supported reliably at scale. As deployments grow, we need consistent environments, secure access control and automated workflows that remove friction from engineering and reduce operational risk.
Through deep troubleshooting, incident investigation, clean documentation, and clear communication, you will keep our internal systems and engineering infrastructure reliable. You’ll work with Linear as the ticketing/triage system and partner closely with Engineering to eliminate recurring infrastructure problems.
You will own deployment environments, cloud provisioning, endpoint configuration, networking and security practices end to end. Your accountability is straightforward: ensure our infrastructure is consistent, secure and reliable so the team can ship and deploy robots without unnecessary blockers.
Automate and maintain deployment workflows to streamline robot cell rollouts, reduce manual setup, and eliminate recurring operational issues.
Containerise and stabilise our robotics software stack to ensure consistent, reproducible environments across development, cloud and deployed production systems.
Standardise and manage Linux and Windows environments, establishing repeatable configuration and provisioning practices.
Provision and maintain cloud infrastructure, including secure access, permissions and identity management (SSO, SSH), with clear ownership of reliability and recovery practices.
Configure and manage networking infrastructure, including VPNs and secure remote access.
Own endpoint security and system hardening across internal machines and deployed systems.
Design and operate monitoring and alerting systems, leading incident response, root cause analysis and preventative improvements.
Own operational intake and prioritisation of infrastructure issues, ensuring clear communication and structured resolution.
Maintain clear documentation of environments, incident learnings, processes and recovery procedures to ensure continuity.
Proven experience automating infrastructure and deployment workflows using scripting and programming (e.g. Ansible, Python, Bash).
Strong hands-on Linux systems administration experience.
Experience with scalable containerised environments in production.
Practical experience with cloud infrastructure provisioning, reliability and access management (AWS, GCP or Azure).
Solid understanding of networking fundamentals, VPN configuration and secure remote access.
Experience implementing and managing credentials, SSO and identity/access control systems.
Demonstrated experience configuring, standardising and hardening Linux and Windows endpoints.
Experience building monitoring and alerting systems, and using logs and metrics for structured diagnosis.
Experience leading incident response, including clear communication, root cause analysis and preventative follow-up actions.
Experience establishing repeatable configuration or environment management practices in production systems.
Strong troubleshooting capability, with evidence-based investigation and durable problem resolution.
Ability to write clear, structured technical documentation for repeatable processes, incident learnings and handovers.
Experience working in GPU-enabled or hardware-adjacent environments (e.g. NVIDIA stack, CUDA, driver-level debugging).
Experience operating infrastructure in robotics, autonomy, AI-heavy or other hardware-adjacent environments.
Experience with SaltStack or similar infrastructure management frameworks and their use from early-stage foundations to multi-site production-grade deployments.
Experience with Infrastructure as Code tools (e.g. Terraform, Pulumi or similar).
Experience designing backup, disaster recovery and resilience testing processes.
Experience building internal tooling to improve developer productivity.
Prior experience serving as a senior escalation point or mentoring engineers in operational best practices.
We’re building a new category of intelligent, flexible robotic automation with real deployments, real customers, and momentum across Europe.
High exposure: Work directly with founders and leadership on decisions that shape the company’s trajectory
Career acceleration: This role sits at the core of how we scale. You’ll gain deep exposure to robotics infrastructure, cloud systems, security and deployment at a formative stage of the company.
Real impact: Your work will directly reduce deployment time, improve system stability, strengthen security and enable faster customer rollouts. When a robot launches smoothly, it will be because the foundation you built made it possible.