Note: The job is a remote job and is open to candidates in USA. OncoSwitch is seeking a Senior DevOps Engineer to establish reliable, secure infrastructure for its AI/ML and scientific workflows. The role will configure compute and storage environments, improve reproducibility and reliability, and support the research team’s infrastructure needs.
Responsibilities
- Assess our infrastructure needs and recommend a practical setup across cloud, dedicated servers or a hybrid environment
- Configure and maintain Linux-based compute environments, including GPU resources for model training and evaluation
- Build reproducible development and research environments using containers and automation
- Set up shared data storage, access controls, backups and recovery procedures
- Establish monitoring, logging and resource usage tracking
- Support CI/CD and infrastructure-as-code practices where they improve reliability and reduce manual work
- Troubleshoot infrastructure issues that slow down the research team
- Document the setup and provide clear operating procedures
- A prioritized infrastructure plan, including costs and dependencies
- A working compute environment for agreed AI/ML workloads
- Reliable storage, access management and tested backups
- Reproducible environments and documentation the team can use independently
Skills
- Strong hands-on experience in DevOps, platform engineering or infrastructure engineering
- Solid Linux administration, networking and troubleshooting skills
- Practical experience with Docker and Python or Bash scripting
- Experience deploying and maintaining cloud or dedicated-server infrastructure
- An understanding of infrastructure security, monitoring and backup practices
- The ability to work independently, prioritize essential work and explain technical trade-offs clearly
- Professional working English for technical discussions and documentation
- GPU infrastructure, NVIDIA drivers, CUDA environments or ML workloads
- Infrastructure as code, such as Terraform or Ansible
- Research computing, job scheduling or large scientific datasets
- Supporting AI/ML teams in an early-stage company
- Previous biotechnology experience
Benefits
- Remote work
Company Overview