About the role

We are looking for an exceptional Software Engineer to build out our growing cloud infrastructure and HPC platform with a solid understanding of Linux, cloud, and distributed computing to join our team. Our multi-disciplinary team in microfluidics, biochemistry, mechanical engineering, computational biology, and software has a proven track record of delivering successful commercial products built on deep technological innovation. If you are a self-starter who is passionate about building and operating reliable, scalable and performant systems, and is excited to work in a highly collaborative environment alongside a diverse team of experts every day, join us at 10x Genomics. This is a hybrid role in Pleasanton, CA. 

What you will be doing

• Design, build, deploy, and maintain resilient and scalable services and High Performance Computing (HPC) systems in the cloud.
• Scale systems and improve operational efficiency through extensive automation.
• Collaborate with the software engineering team on continuous delivery and deployment.
• Monitor infrastructure and applications for uptime and resource utilization, identify performance bottlenecks, troubleshoot and mitigate system issues, and develop solutions to improve reliability and performance.
• Maintain detailed documentation of system build and operational procedures.
• Participate in on-call rotations.

Minimum Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent work experience.
• 5 years software engineering experience in Python or Golang.
• 3 years Linux systems engineering and operational experience.
• Experience with AWS services and infrastructure.
• Experience with Infrastructure as Code (ex. Terraform, Ansible), CI/CD tools/systems.

Preferred Skills and Experience

• Proficiency in shell scripting and at least one other language, e.g. Python or Go.
• Ability to dive into unfamiliar code bases to troubleshoot and resolve issues.
• Previous experience with container based solutions like Docker.
• Experience with Kubernetes (installation, configuration, and troubleshooting).
• Knowledge of Linux kernel tuning, networking, and performance optimization.
• Experience with deployment management tools like ArgoCD.
• Experience in managing multi-petabyte scale network-attached storage (NAS) and operational knowledge of the NFS protocol.
• Strong desire to learn and implement new technologies.
• Excellent written and verbal communication skills.