Join the team
IT Infrastructure and Operations
Keep the lab’s cloud, network, and DevOps toolchain running, from CI/CD pipelines to security systems.
Responsibilities
- Deploy, monitor, and operate the laboratory’s cloud infrastructure and servers, ensuring high availability and stability.
- Maintain the API-gateway configuration layer, support reliable access to the team’s AI services and model-compatibility adaptation, and assist the responsible lead in implementing cost-control strategies.
- Build and maintain the DevOps toolchain, including source-code repository management, CI/CD pipeline development, and automated deployment.
- Manage the laboratory’s network infrastructure and security systems, including the configuration and maintenance of proxy nodes, VPNs, software routers, and security systems.
- Provide IT support for the team, including website deployment, regulatory filing and compliance support, development-environment configuration, and day-to-day troubleshooting.
- Write operations documentation and user manuals, and establish standardised operational processes.
Qualifications
- Bachelor’s degree or above in computer science, network engineering, or a related field.
- Experience operating Linux servers and administering common Linux distributions.
- Proficiency with Docker and Docker Compose, with hands-on experience in containerised deployment and orchestration.
- Familiarity with the core services of at least one mainstream cloud platform, such as AWS, Alibaba Cloud, or Tencent Cloud, including compute, storage, networking, and IAM.
- Practical CI/CD experience using GitLab CI, GitHub Actions, or Jenkins.
- Familiarity with networking fundamentals, including TCP/IP, DNS, Nginx or reverse proxies, firewalls, and VPN configuration.
- Scripting ability in Bash or Python, with the ability to write automated operations scripts.
- Clear communication, a proactive approach to identifying and solving problems, and the ability to work effectively in a fast-paced start-up environment.
Preferred Qualifications
- Experience supporting AI or machine-learning infrastructure, including GPU clusters, model-inference services, or API gateways.
- Understanding of cybersecurity architectures such as zero trust, SASE, or DLP, with experience deploying security systems.
- Experience with Kubernetes or large-scale container orchestration.
- Understanding of the deployment and operation of AI-agent applications.
- Experience configuring software routers such as OpenWrt or iStoreOS.
Apply by email
Location: Hangzhou, Beijing, Switzerland. Send your CV to info@awomo.ch. Suggested subject line: “Name + Position” — the apply button fills in the role for you, so just replace “Name”.