Senior DevOps Engineer
Palo Alto, CA
Engineering /
Full Time /
On-site
In this dynamic and innovative environment, you'll lead a team of 2-3 members in our 3 offices as a start, collaborating with engineers, scientists, and machine learning researchers to develop a platform that enhances productivity organization-wide. Your role includes establishing standards and shaping the developer experience throughout the company.As we are in the early stages of our journey, with ongoing learning and some ambiguity, your prior experience and proactive approach will be essential in defining your impact in this newly established position.
Key Responsibilities
- System Administration:
- Responsible for infrastructure management, including Kubernetes resource scheduling, scaling, monitoring, and optimization.
- Manage and support collaboration and productivity tools including Google Workspace, Jira, GitLab, Confluence, and related CI/CD integrations.
- IT Management:
- Manage and support endpoints, including laptops and related devices, to ensure reliability, security, and compliance.
- Provide technical support to team members, troubleshooting hardware, software, and network issues.
- Security Management:
- Implement and enforce cybersecurity policies and procedures to protect sensitive data and systems.
- Monitor for security breaches and respond to incidents, implementing preventive measures.
Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Minimum of 3 years of experience in system administration or a related role.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience with Google cloud platforms, proven experience in managing Google Workspace in a corporate environment.
- Experience in automation practices with strong systems engineering skills.
- Experience in endpoint management, including administration and support of laptops and related devices.
- Knowledge of cybersecurity principles and best practices.
- Demonstrates innovation, a strong capacity for continuous learning, and excellent teamwork skills.
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.
