Platform Engineer

The role

You will design and scale a hybrid compute cluster and build core-platform services. You will work closely with Machine Learning and Data Science teams to support their computational needs.

What you will do

• Develop and contribute to architectural strategy for Kubernetes-based clusters across private and public clouds.
• Engineer and manage the full-lifecycle of internal and public-facing applications, APIs, and services.
• Enhance continuous integration and continuous delivery pipelines.
• Establish comprehensive monitoring solutions.
• Ensure robust backup, disaster recovery, and failover strategies.
• Enforce best practices and security measures to protect sensitive data.
• Work with Machine Learning and Data Science teams to provide expert guidance and support.

Required qualifications

• Bachelor’s in Computer Science or a related quantitative field.
• Minimum of 3 years of combined experience in software engineering.
• Demonstrated ability to design, deploy, and manage cloud infrastructure and Kubernetes clusters.
• Solid experience in setting up and maintaining CI/CD pipelines using tools like GitHub Actions and ArgoCD.
• Experience with infrastructure as code (IaC) tools such as Terraform.
• Solid Python coding experience.
• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.

Nice to have

• Experience developing and deploying applications on Kubernetes.
• Experience with Go.
• DataOps and MLOPs

About the company

Relation is a TechBio company developing medicines by leveraging single-cell multi-omics, functional assays, and machine learning. They operate with interdisciplinary teams in London.