We are looking for a Software Engineer, DevOps (Robotics Infrastructure) who will be responsible for designing and deploying on-premise architectures for our Autonomous Mobile Robot (AMR) solutions and factory automation services. This role demands someone who is highly independent, resourceful, and thrives on solving complex problems in constrained environments. You will learn through every challenge, turning each obstacle into a stepping stone for improving future deployments.

✅Design & Adapt On-Premise Architecture for AMRs & Factory Sites Take existing cloud-native services and redesign them for isolated, factory-grade environments. Account for air-gapped networking, industrial security constraints, and limited external dependencies. Build reliable, self-contained deployment bundles optimized for factory on-premise infrastructure. ✅Install & Deploy at Customer Factory Sites Prepare offline installation packages and deploy them on highly controlled industrial networks. Set up and validate services that integrate with AMR fleets, sensors, and manufacturing systems. Document the deployment process for repeatability and future scale-up. ✅Troubleshoot & Resolve Complex Issues Act as the primary troubleshooter when issues occur during or after on-site deployments. Perform in-depth debugging across networking, Kubernetes clusters, and application layers. Implement quick hotfixes and long-term solutions to ensure stability in factory operations. ✅Learn, Document & Improve Treat every deployment issue as a learning opportunity—analyze, document, and share insights. Build a knowledge base of recurring problems and proven solutions for future engineers. Continuously improve on-premise deployment processes and toolchains.

✅Tech Stack - Infrastructure & Automation: Terraform, Ansible, Kubernetes - Languages for Tools & Scripts: Python, Go - Build & Packaging: Bazel - Environment: Air‑gapped AMR factory sites, isolated Kubernetes clusters, secure industrial networks ✅Solid experience with Terraform, Kubernetes, and Ansible for infrastructure provisioning and deployment. ✅Proficiency in Python or Go for building automation scripts and troubleshooting tools. ✅Experience working with air-gapped, on-premise industrial environments. ✅Strong troubleshooting skills across infrastructure, networking, and containerized services. ✅Ability to work independently, self-learn from new challenges, and adapt quickly. ✅Comfortable working in factory or industrial settings, integrating with AMR systems and related services.

✅Experience re-architecting GCP services (e.g., GKE, Pub/Sub, CloudSQL) into on-prem or open-source equivalents. ✅Experience deploying Kubernetes in air-gapped industrial environments. ✅Familiarity with offline container registries and package distribution. ✅Knowledge of factory networking, industrial security, and edge computing. ✅Prior exposure to AMR systems, manufacturing execution systems (MES), or OT/IT integrations.

✨Welcome to Bear Robotics✨ - 신규 입사자 웰컴키트 지급 - 안정적인 정착을 위한 온보딩 세션 ✨We have GOOD HABITS✨ 우리는 좋은 습관은 지키고, 나쁜 습관을 줄이기 위해 노력합니다. 어제보다 나은 우리를 위해! - 서로를 배려합니다. - 상대방의 입장에서 생각합니다. - 새로운 것을 배웁니다. ✨We are having FUN✨ 우리는 행복해지기 위해 일합니다. 모두가 재미있게 일할 수 있는 업무 환경을 구성합니다. - 8시~11시 자율 출퇴근 (8시간 근무) - 식사비 제공 - 간식 무제한 제공 - 구성원들과 교류할 수 있는 사내 동호회 운영 ✨We FOCUS on work✨ 우리는 효율적이고 효과적으로 일합니다. - 고사양 랩탑, 4K 모니터 및 주변기기 지원 - RSU, 인센티브 제도 운영 - 영어교육 지원, 종합건강검진, 경조사비/경조휴가, 출산휴가, 육아휴직, 직원 단체 상해보험 등 지원

입사지원 👉 서류 전형 👉 Screening Meeting(화상) 👉Peer Interview(대면, 약 2~3시간) -👉임원 인터뷰(화상or전화, 1시간) 👉 처우 협상