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- Tasks: Join our Platform Team to revolutionise drug discovery using advanced machine learning.
- Company: Relation Therapeutics, a pioneering biotech 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, Kubernetes experience preferred.
- 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.
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!
Platform Engineer employer: Relation Therapeutics Limited
Contact Detail:
Relation Therapeutics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Relation through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Platform Team.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Kubernetes and cloud infrastructure knowledge. We recommend doing some hands-on practice with CI/CD pipelines and coding challenges to showcase your skills.
✨Tip Number 3
Show your passion for biotech and machine learning during interviews. Share any relevant projects or experiences that highlight your drive to make a difference in patients' lives, as this aligns perfectly with our mission.
✨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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Platform Engineer role. Highlight your experience with Kubernetes, cloud infrastructure, and CI/CD pipelines to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about biotech and how your background makes you a great fit for our team. 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, 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 to ensure your application gets into the right hands and shows us you're serious about joining our mission to make a difference in patients' lives.
How to prepare for a job interview at Relation Therapeutics Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes, cloud infrastructure, and CI/CD pipelines. 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 really 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 questions that test your analytical and troubleshooting abilities. Prepare to walk through your thought process when solving complex problems, especially those related to cloud infrastructure or application deployment. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Align with Their Mission
Research Relation's mission and values thoroughly. Be ready to discuss why you're passionate about making a difference in patients' lives and how your personal values align with their commitment to innovation and collaboration. Showing genuine enthusiasm for their work can set you apart from other candidates.
