About Cartography Biosciences Cartography Biosciences is a therapeutics organization creating the first atlas to identify targets that are specific enough to only engage cancerous cells, broad enough to work across cancer cells and patients, and safe enough... Backed by a16z.
About the role
We are looking for a DevOps Engineer to own and evolve the cloud infrastructure that powers our computational biology platforms, internal applications, and data pipelines. You will build and maintain systems spanning workflow orchestration for genomics and structural biology workloads, internal-facing scientific applications, and the security and reliability infrastructure that supports them.
What they're looking for
- DevOps Engineer: 4+ years of hands-on DevOps, SRE, or cloud infrastructure experience
- Strong production experience with Google Cloud Platform (GCE, GKE, GCS, Cloud Run, IAM, Cloud Logging, Batch) and working knowledge of AWS (EC2, S3, IAM, Lambda)
- Deep proficiency with Terraform, GitHub Actions or equivalent CI/CD systems, and Docker
- Proficiency in Python for scripting, automation, and data handling, comfortable in Unix or Linux terminal environments
- Practical experience implementing data security controls, including encryption, access policies, secrets management, and audit trails
- Demonstrated ability to maintain internal-facing applications and services with high uptime expectations
More about this role
We are looking for a DevOps Engineer to own and evolve the cloud infrastructure that powers our computational biology platforms, internal applications, and data pipelines. You will build and maintain systems spanning workflow orchestration for genomics and structural biology workloads, internal-facing scientific applications, and the security and reliability infrastructure that supports them.
This role sits at the intersection of cloud engineering, scientific computing, and applied software development. You will work closely with computational biology, antibody discovery, and software engineering teams to translate prototype workflows into production systems, ensure uptime and observability for the tools scientists rely on daily, and apply security best practices appropriate for a biotech environment handling sensitive scientific and business data.
This role is 100% remote and can be based in the US, Canada, Mexico, Central America, or South America.
- Architect, deploy, and maintain cloud infrastructure across Google Cloud Platform (primary) and AWS (secondary), with a focus on cost efficiency, reproducibility, and security across compute, storage, networking, and identity.
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