Associate Director, Platform Engineering
The Associate Director of Platform Engineering will lead the team managing hybrid compute infrastructure, developer platforms, and scientific compute environments for drug discovery. The role involves setting architectural strategy for Kubernetes-based clusters and MLOps pipelines while collaborating with data science and engineering teams.
- Compensation
- Not disclosed
- Location
- London
- Work setup
- Not specified
- Seniority
- C level
- Employment
- Not specified
- Experience
- Not specified
- Category
- Devops
- Posted
Skills
Must have
- Significant experience in platform, infrastructure or DevOps engineering
- Experience leading engineers with responsibility for significant workstreams
- Strong hands-on operational experience including on-call rotations
- Deep expertise in Kubernetes
- Experience operating infrastructure across hybrid on-premises and cloud environments
- Experience building, running or evolving MLOps infrastructure
- Familiarity with batch compute for data-intensive scientific workloads
- Track record of maturing CI/CD pipelines, developer tooling and observability
- Strong security fundamentals
- Excellent written and verbal communication skills
Nice to have
- Exposure to compliance and governance frameworks such as ISO 27001, SOC 2 or GDPR
Full description
About Relation
Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure.
We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact.
We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age.
By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients.
The opportunity
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. Reporting to the VP of Engineering, you will work closely with your team and peers across Engineering, Data Science and Machine Learning to define and evolve Relation’s platform strategy.
Our platform spans on-premises infrastructure and public cloud environments, supporting computational scientist notebooks through Kubeflow, model training and serving, internal services and genomic pipelines. You will set the technical direction across these areas, build and develop the team responsible for delivering them, and ensure our platform continues to evolve alongside the needs of our science.
Day to day, you will
- 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 within which the team designs, builds and operates.
- Lead and develop the Platform Engineering team, hiring and retaining exceptional engineers, setting clear expectations and creating the conditions for them to do their best work.
- Own the scientific compute platform, ensuring it reliably and efficiently meets the evolving needs of our Machine Learning and Data Science teams.