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- Tasks: Design and manage Kubernetes infrastructure while collaborating with Machine Learning and Data Science teams.
- Company: Innovative biotech company in Greater London focused on revolutionising drug discovery.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a mission to impact patients' lives through cutting-edge technology.
- Qualifications: Bachelor's in Computer Science and 3+ years of software engineering experience.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 42000 - 60000 £ per year.
An innovative biotech company in Greater London is seeking a Software Engineer to join their Platform Team. In this role, you will design and manage Kubernetes-based infrastructure while collaborating closely with Machine Learning and Data Science teams. Ideal candidates should have a Bachelor's in Computer Science and a minimum of 3 years of experience in software engineering.
Key responsibilities include:
- Enhancing CI/CD pipelines
- Ensuring optimal performance across applications
Join the mission to revolutionise drug discovery and directly impact patients' lives.
Platform Engineer: Kubernetes & ML-Driven Biotech Platform 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: Kubernetes & ML-Driven Biotech Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the biotech and software engineering circles. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Kubernetes projects or any relevant work you've done. This is your chance to shine and demonstrate how you can enhance CI/CD pipelines and optimise performance.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Kubernetes and machine learning. Practice common interview questions and think about how your experience aligns with the company’s mission to revolutionise drug discovery.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience in software engineering and your passion for making a difference in patients' lives. Let’s get you that dream job!
We think you need these skills to ace Platform Engineer: Kubernetes & ML-Driven Biotech Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and any relevant software engineering projects. We want to see how your skills align with our mission in biotech, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for biotech and how your background in software engineering can help us revolutionise drug discovery. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any CI/CD pipelines or machine learning projects, make sure to mention them! We love seeing real examples of your work that demonstrate your problem-solving skills and technical expertise.
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’re considered for this exciting opportunity to join our Platform Team!
How to prepare for a job interview at Relation Therapeutics Limited
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss your experience with managing Kubernetes-based infrastructure and any challenges you've faced. This will show that you're not just familiar with the technology, but that you can also handle real-world scenarios.
✨Showcase Your CI/CD Pipeline Skills
Since enhancing CI/CD pipelines is a key responsibility, prepare to talk about specific projects where you've improved these processes. Bring examples of how your contributions led to better performance or efficiency, and be ready to discuss the tools and methodologies you used.
✨Collaborate Like a Pro
This role involves working closely with Machine Learning and Data Science teams, so highlight any collaborative projects you've been part of. Discuss how you communicated technical concepts to non-technical team members and how you ensured everyone was on the same page.
✨Passion for Biotech and Patient Impact
Express your enthusiasm for the biotech field and how your work can make a difference in drug discovery. Research the company’s mission and be prepared to share why you want to be part of their journey to impact patients' lives positively.
