Key Responsibilities

• Manage and maintain infrastructure, including Kubernetes GPU resource scheduling, scaling, monitoring, logging, and performance optimization
• Develop and maintain automated machine learning pipelines using tools such as Kubeflow and Ray
• Manage and support collaboration and productivity platforms, including Google Workspace, GitLab, and related CI/CD integrations
• Implement and enforce cybersecurity policies and best practices to safeguard sensitive data and systems
• Provide technical support to team members by troubleshooting hardware, software, and network issues

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 3+ years of experience in Kubernetes administration and development
• Hands-on experience in managing machine learning model lifecycles, model serving, and distributed training
• Proven experience in automation and strong systems engineering skills
• Solid understanding of cybersecurity principles and best practices
• Strong sense of ownership and responsibility, with the ability to handle urgent operational issues to ensure smooth team development and deployment

Preferred Qualifications

• MLOps Expertise: Proficiency in MLOps frameworks and tools, such as ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC)
• Domain Knowledge: Basic understanding of biology or chemistry; experience in the pharmaceutical or biotech industry is a plus
• Software Engineering Background: Strong foundation in software engineering, with a transition into technical operations roles
• Security Awareness: Ability to identify security risks and implement effective mitigation measures
• Start-up Experience: Demonstrated experience in start-up environments, showcasing adaptability and problem-solving skills
• Production Support: Experience supporting both production systems and machine learning pipelines
• Educational: Master’s/Ph.D. in Computer Science, a related technical field, or equivalent practical experience
• Leadership Skills: Proven ability to lead and develop engineering teams of 3-5 members or more

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security’s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.