Platform Engineer

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 a Software Engineer in our Platform Team, you will join the engineering team in a role pivotal to our mission to revolutionize target discovery and validation using advanced machine learning models. You will work closely with the Machine Learning and Data Science teams, designing and scaling our hybrid compute cluster, building core-platform services, ensuring optimal performance, reliability, and scalability. Day to day, you will Develop, evolve, and contribute to the architectural strategy for our Kubernetes-based clusters spread across our private cloud and multiple public clouds. Engineer and manage the full-lifecycle of internal and public-facing applications, APIs, and services. Enhance continuous integration and continuous delivery pipelines, facilitating efficient development, testing, and deployment processes Establish comprehensive monitoring solutions to proactively detect and resolve issues. Ensure robust backup, disaster recovery, and failover strategies are in place. Enforce best practices and security measures to protect sensitive data and comply with industry standards. Work closely with Machine Learning and Data Science teams to understand their computational needs and challenges. Provide expert guidance and support to ensure their success Professionally, you will have A Bachelor’s in Computer Science or a related quantitative field. A minimum of 3 years of combined experience in software engineering, with a demonstrated ability to design, deploy, and manage cloud infrastructure and Kubernetes clusters.

Bonus: experience developing and deploying applications on Kubernetes. 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, with the ability to write clean, efficient, and maintainable code.

Bonus: experience with Go. Excellent analytical and troubleshooting skills, with a systematic approach to solving complex problems. Strong verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams.

Bonus experience DataOps and MLOPs Personally, you Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. Take ownership of your work , proactively seek opportunities to contribute, and enable others to do their best work. Communicate openly and directly , give and receive feedback constructively, and handle challenging conversations with respect. Actively seek out diverse perspectives , build strong working relationships, and contribute to shared goals across teams. Embrace challenges with openness and resilience , set high standards for yourself, and strive to deliver meaningful outcomes. Working Style & Culture at Relation At Relation, we operate in a matrixed, interdisciplinary environment , where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! Recruitment Agencies Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.