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.

About Iso
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.

Your impact
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.

What you will do

• 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

Skills and qualifications
Essential:

• 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

Nice to have:

• 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

Hybrid working
It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in).

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.