Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our team to revolutionise drug discovery using advanced machine learning and cloud technologies.
- Company: Relation Therapeutics, a pioneering biotech firm focused on transformative medicines.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on patients' lives while working with cutting-edge technology.
- Qualifications: Bachelor's in Computer Science, 3+ years in software engineering, and Kubernetes experience.
- Other info: Collaborative environment with a focus on innovation and personal development.
The predicted salary is between 36000 - 60000 £ per year.
About Relation
We are an end-to-end biotech developing transformational medicines, with technology at our core. Our ambition is to understand human biology in an unprecedented way; discovering therapies that will treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays and machine learning to drive disease understanding, from cause to cure.
We are committed to building diverse and inclusive teams. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. We strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential.
By joining Relation, you will be part of an exceptionally talented team, you'll have extraordinary leverage to push the field of drug discovery, and you'll help us shape our culture and strategic direction. Ultimately, your impact will be felt in patients' lives.
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.
Role responsibilities:
- 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 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 with DataOps and MLOPs.
Personally, you are:
- A great team player
- A clear communicator
- Driven by impact
- Humble and hungry to learn
- Motivated and curious
- Passionate about making a difference in patients' lives.
Join us in this exciting role where your contributions will have a direct impact on advancing our understanding of genetics and disease risk, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in the field of machine learning and genetics. The patient is waiting!
Relation Therapeutics is a committed equal opportunities employer.
Platform Engineer in London employer: Relation Therapeutics Limited
Contact Detail:
Relation Therapeutics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Relation. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Kubernetes and machine learning. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and problem-solving skills. We love candidates who can think on their feet and tackle complex challenges head-on.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Platform Engineer role. Highlight your experience with Kubernetes, cloud infrastructure, and CI/CD pipelines to show us you’re the right fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about biotech and how your background aligns with our mission. Share specific examples of your work that demonstrate your problem-solving skills and teamwork.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially in machine learning and software engineering.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Relation Therapeutics Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes, CI/CD pipelines, and the tools mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've used these technologies in past projects. Being able to talk about specific challenges you've faced and how you overcame them will impress the interviewers.
✨Show Your Collaborative Spirit
Since this role involves working closely with Machine Learning and Data Science teams, be prepared to share examples of how you've successfully collaborated with cross-functional teams in the past. Highlight your communication skills and how you’ve contributed to team success, as they value a great team player.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your analytical and troubleshooting abilities. Prepare to walk through your thought process when solving complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your systematic approach.
✨Align with Their Mission
Research Relation's mission and values, especially their commitment to making a difference in patients' lives. Be ready to express why you're passionate about biotech and how your personal values align with theirs. This will show that you’re not just looking for a job, but are genuinely interested in contributing to their goals.
