Relationrx
Associate Director, Platform Engineering
Salary not disclosedOnsite
- Engineering
- London
- Full time
- Today
Newly posted
About the role
As Associate Director, Platform Engineering, you will lead the team responsible for the hybrid compute infrastructure, developer platform, and scientific compute environments that power Relation’s machine learning and drug discovery work. You will define and evolve the platform strategy, ensuring it meets the needs of computational scientists and engineers while maintaining robust security and operational standards.
Responsibilities
- Partner with the VP of Engineering and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy.
- Own the architectural strategy for our Kubernetes-based clusters and broader hybrid infrastructure, setting the technical standards and guardrails.
- Lead and develop the Platform Engineering team, hiring and retaining exceptional engineers.
- Own the scientific compute platform, ensuring it reliably and efficiently meets the evolving needs of our Machine Learning and Data Science teams.
- Drive the maturity of our CI/CD pipelines, internal services and developer tooling.
- Establish comprehensive observability and robust disaster recovery and failover strategies across on-premises and cloud environments.
- Own Relation’s platform security controls, including IAM, secrets management, network policy and vulnerability management.
Required skills
- Kubernetes
- Hybrid infrastructure
- DevOps
- MLOps
- Kubeflow
- CI/CD
- Observability
- Security controls
- IAM
- Secrets management
Nice to have
- ISO 27001
- SOC 2
- GDPR
Qualifications
- Significant experience in platform, infrastructure or DevOps engineering
- Experience leading engineers with responsibility for significant workstreams
- Strong hands-on operational experience
About the Company
Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.