Location: Germany · Munich
Employment Type: Full-time
Are you ready to help shape the future of clean energy from day one? This is more than just a job—it’s a rare opportunity to build the foundation, culture, and direction of a new company. If you’re eager for a dynamic role where your ideas and initiative truly matter, we invite you to be one of our first pioneers.
Build, customize, and maintain infrastructure toolchains. Lead operations automation and intelligent operations initiatives.
Investigate technical challenges and resolve complex incidents. Ensure production systems remain secure, stable, and efficient. Provide 24/7 on-call support for production issues.
Operate and maintain business systems on public cloud platforms, including AWS and Azure. Resolve system stability issues in production.
Write operations documentation and runbooks. Develop operations strategies and standards.
Handle cloud security alerts, compliance audits, and related security operations work.
Deploy, release, and manage configuration changes for NVT software.
Bachelor’s degree or above in Computer Science or a related field, with at least five years of DevOps or system operations experience. Cloud certifications such as Alibaba Cloud ACP or AWS Certification are preferred.
Strong hands-on experience with AWS and Microsoft Azure operations. Familiar with cloud compute, networking, and database services, including EC2/ECS, VPC, NAT, Aurora, and ElastiCache. Strong troubleshooting skills are required.
Familiar with cloud-native container platforms such as ACK and EKS, as well as big data technologies including Flink, Spark, StarRocks, and related ecosystems.
Strong understanding of Linux systems and administration. Proficient in Shell scripting. Experience with Python, Golang, Java, Vue, or React is preferred.
Familiar with CI/CD processes and tools such as Jenkins, GitLab, Maven, and Nexus.
Fluent in English, with the ability to communicate effectively in daily work settings;understanding of Chinese is a strong plus.
Strong sense of responsibility and ownership, with a high level of respect for production environments.
Experience using AI tools to improve operations efficiency, or experience operating and maintaining large language model infrastructure, is preferred.