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For Companies At a Glance
- Tasks: Join our Platform Team to revolutionise target discovery using advanced machine learning.
- Company: Relation Therapeutics, a pioneering biotech focused on transformational medicines.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real impact on patient lives through innovative technology and collaboration.
- Qualifications: Bachelor’s in Computer Science, 3+ years in software engineering, Kubernetes experience preferred.
- Other info: Dynamic team environment with a focus on diversity and inclusion.
The predicted salary is between 42000 - 84000 ÂŁ 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.
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 and 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!
Platform Engineer in London employer: Relation
Contact Detail:
Relation 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 folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Kubernetes and cloud infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with CI/CD pipelines and Python coding. Confidence is key!
✨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 mission to make a difference.
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
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes and cloud infrastructure. Brush up on your experience with CI/CD pipelines and tools like GitHub Actions and ArgoCD. Be ready to discuss specific projects where you’ve implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of complex problems you've tackled, especially those related to software engineering and machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Communicate Clearly and Collaboratively
Since this role involves working closely with cross-functional teams, practice articulating your thoughts clearly. Think about how you can demonstrate your teamwork and communication skills during the interview, perhaps by discussing past collaborations.
✨Demonstrate Your Passion for Impact
Express your motivation for making a difference in patients' lives. Share why you’re excited about the intersection of technology and healthcare, and how your background aligns with the company’s mission to revolutionise target discovery and validation.
