Software Engineer (TechOps), London

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.

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.

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