Staff Software Engineer, Infrastructure (Remote)
Job Description
We are seeking a staff-level Infrastructure Engineer whose work will help our Freenome team build a cloud-native machine learning platform for the world’s largest multi-analyte cancer genomics dataset. The ideal candidate is development-focused with strong experience in system design and architecture, with the ability to lead projects from end-to-end and mentor others. This person is responsible for utilizing modern engineering practices to build reliable, maintainable, scalable, and secure production systems for our clinical lab and Computational and Molecular Research Scientists. Our infrastructure team is a small group where you will help set the culture and build the systems that allow us to move fast without breaking things.
You are passionate about meaningful work, and you will have a significant impact on the continued growth of a high profile technology organization that is changing the landscape on early cancer detection.
The role reports to our engineering management team.
Responsibilities
- Improving the reliability and scalability of our platform for genomic research in concert with the Software Engineers and Computational Scientists who depend on it daily
- Planning for significant growth and scaling challenges as we transition from research to product development
- Lending your expertise to design and code reviews
- Anticipating technical scaling limits before we reach them
- Continually improving our security posture
- Reinforcing good development practices across the entire organization
Job Requirements
- 5+ years of experience with production infrastructure, automation, and monitoring
- B.S. or M.S. in computer science or a related technical field, or comparable experience
- Experience in analyzing and troubleshooting distributed systems
- Software design and development expertise, especially in Python
- Practical knowledge of Linux internals
- A systematic problem-solving approach, coupled with effective communication skills and a sense of ownership and drive
Nice to haves:
- Systems programming languages such as Go, Rust, or modern C++
- Kubernetes, including tools such as Helm or Flux
- Docker and Linux containers
- Production deployment automation tools, such as Terraform or Ansible
- Google Cloud Platform experience
- Large-scale and/or high-performance storage systems, such as PostgreSQL, MySQL, Redis, HBase, Spanner, or Cassandra
- Microservices, service meshes, or distributed tracing
- Security, encryption, and certificate management
- Networking, firewalls, load balancers, and HTTP internals
- Monitoring, alerting, logging, and tracing tools, such as Prometheus, fluentd, or Jaeger
- Experience with software in a regulated environment
