Senior Platform Engineer

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

You will be working on our groundbreaking platform that will transform the biopharmaceutical world as we know it. You'll join our Platform group, where you partner with leading engineers, scientists and ML researchers to build the critical foundations driving that transformation.

You'll be working as part of a small and highly efficient team on all parts of cloud infrastructure and software lifecycle.

We believe Isomorphic is best of both worlds: a dynamic startup where things happen fast with a secure Alphabet backing and a long-term vision.

We’re still at a relatively early stage in our journey, with a level of ambiguity as we continuously learn from each other, so you will need to build on your previous experience and show initiative in order to fully carve out your contribution in this newly created role.

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  Design, operate, manage and refine research, development, and production cloud infrastructure (GCP, K8s, Docker, Terraform, Kapitan, etc.)

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  Develop and manage tools and processes to enhance software development practices

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  Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

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  Partner and collaborate with a diverse set of teams including science (drug discovery), research (machine learning), product, business development and operations

• Strong experience with Docker, Terraform and at least one major Cloud Platform

• Strong hands-on experience managing Kubernetes clusters

• Clear understanding of Infrastructure as Code

• Extensive experience with modern DevOps (CI/CD, release management, automation)

• Experience with Helm/Kustomize/Kapitan or similar deployment tools

• Experience with Grafana/Prometheus/Splunk or similar monitoring/observability technologies

• Strong Python programming

• Ability to independently deliver solutions and work effectively in cross-functional teams

• Experience with Google Cloud Platform (GCP)

• Experience supporting machine learning cloud infrastructure

• Experience with GitHub Actions

• Strong foundations in software engineering before moving into a technical operations role

• Proficiency in identifying and mitigating security risks

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. 

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