Bunkerhill is a Sequoia-backed company whose goal is to increase the adoption of AI in healthcare, in order to help doctors catch deadly diseases earlier.
Bunkerhill Health has built a consortium of research institutions (Stanford, Johns Hopkins, Harvard, etc.), who develop and validate AI algorithms seamlessly under our legal umbrella (less than one week of setup time for a new project when using the Bunkerhill consortium, versus a year or more for projects outside the consortium). Bunkerhill then manages the FDA clearance and commercial sales process for the algorithms that these institutions develop and validate with us.
We’ve signed commercial contracts and deployed algorithms with the world’s leading health systems—UCSF, Mayo Clinic, Georgetown/MedStar, and several others. These algorithms help doctors identify patients earlier than has otherwise been possible, leading to better treatment outcomes (early clinical screening for heart disease, pancreatic cancer, etc.)
We’re backed by world class investors: Sequoia, Max Levchin (co-founder of PayPal and Affirm), YC, DCVC, and Pacific8.
We're looking for an Infrastructure/DevOps engineer to join our team. Offer will include base salary and equity.
Must have experience includes:
- Automation scripting (Bash, Python, etc.)
- Continuous integration, deployment, and delivery tooling
- CircleCI, GitHub Actions, or similar
- Cloud, such as:
- Container tooling:
- Version control (git)
- Linux
- Troubleshooting issues with the following:
- Code exceptions, compile/build issues, and similar problems
- Networking
- Familiarity with network protocols and concepts such as TCP/IP, UDP, HTTP
- Familiarity with software security concepts such as:
- TLS/HTTPS
- Secrets management
- Identity management
- Firewalls
- Monitoring software, such as Grafana, Prometheus, DataDog, New Relic, etc.
Other pluses:
- Infrastructure-as-code and config management tooling
- Terraform, Pulumi, Ansible, Chef, Puppet, or similar
- Application development experience, especially backend
- Relational databases (Postgres, etc.)
- Message queues, distributed streaming platforms, or similar
- Kafka, Amazon SQS, RabbitMQ
- Experience with microservice architecture
- Code dependency management, such as Artifactory