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About the Role

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. 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.

Responsibilities

Design, operate, manage and refine research, development, and production cloud infrastructure (GCP, K8s, Docker, Terraform, Kapitan, etc.)
Develop and manage tools and processes to enhance software development practices
Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)
Partner and collaborate with a diverse set of teams including science (drug discovery), research (machine learning), product, business development and operations

Requirements

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

Skills

Docker
Terraform
Cloud Platform
Kubernetes
Infrastructure as Code
DevOps
CI/CD
Release Management
Automation
Helm
Kustomize
Kapitan
Grafana
Prometheus
Splunk
Python
Google Cloud Platform (GCP)
GitHub Actions
Software Engineering
Technical Operations
Security Risk Mitigation

Location

Hybrid

Work Type

Hybrid

Experience Level

Early stage
Requires initiative

About the Company

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system.
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.
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.

Equal Opportunity

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law.
If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.