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Tesla Staff Software Engineer Dojo Datacenter Control United States, California, Palo Alto 967371303
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What You’ll Do What You’ll Bring
- Design and develop software components for our datacenter control plane, including: resource management and allocation; provisioning & automation of infrastructure components; monitoring and management of datacenter resources; integration with distributed storage systems
- Collaborate with cross-functional teams to ensure seamless integration of our software with our datacenter infrastructure
- Develop and maintain code for infrastructure software, focusing on areas such as: scalability & performance optimization; availability, reliability, & fault tolerance; automation & orchestration of datacenter operations
- Work closely with the Operations team to ensure smooth deployment and operation of infrastructure software
- Participate in the testing and validation of infrastructure software to ensure it meets quality and reliability standards
- Collaborate with other Engineers to identify and resolve technical issues, and to continuously improve the design and operation of our datacenter infrastructure
- Degree in Computer Science, Electrical Engineering, or related field or equivalent experience
- 5+ years of experience in software development, with a focus on infrastructure software and datacenter operations
- Strong programming skills in languages such as Python, Go, or Bash
- Experience with Slurm resource management and job scheduling systems
- Experience with distributed storage systems, including Ceph, Gluster, or other similar technologies
- Strong understanding of system design principles, including scalability, availability, and reliability
- Experience with agile development methodologies and version control systems such as Git
- Excellent problem-solving skills, with the ability to analyze complex technical issues and develop creative solutions
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional team
- Knowledge of containerization technologies, such as Docker or Kubernetes preferred
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