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- Tasks: Manage Kubernetes environments and optimise infrastructure for biologists and ML engineers.
- Company: Leading biotechnology firm in London with a collaborative culture.
- Benefits: Competitive compensation, equity options, and a fun, supportive work environment.
- Why this job: Join a dynamic team and make a real impact in biotechnology and machine learning.
- Qualifications: Extensive experience with Linux, deep learning optimisation, and automation tools.
- Other info: Exciting opportunities for growth in a cutting-edge industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading biotechnology firm in London is looking for a Senior Platform Engineer to manage Kubernetes environments and streamline infrastructure for biologists and machine learning engineers.
The ideal candidate will have extensive experience with Linux, deep learning optimization, and automation tools.
This role offers competitive compensation, equity options, and a fun, supportive work environment focused on collaboration.
Senior Platform Engineer - Hybrid Kubernetes for Bio & ML in London employer: Homerun B.V.
Contact Detail:
Homerun B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer - Hybrid Kubernetes for Bio & ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the biotech and ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or personal project showcasing your Kubernetes expertise, make sure to highlight it. We love seeing practical applications of your knowledge!
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Linux commands and deep learning concepts. We want to see how you think and solve problems, so practice explaining your thought process.
✨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, we’re always looking for passionate candidates who fit our collaborative culture.
We think you need these skills to ace Senior Platform Engineer - Hybrid Kubernetes for Bio & ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, Linux, and any automation tools you've used. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about biotechnology and machine learning. Share specific examples of how you've optimised deep learning processes or streamlined infrastructure in previous roles.
Showcase Your Collaboration Skills: Since we value a supportive work environment, it’s important to demonstrate your ability to work well in teams. Include examples of past collaborations, especially those that involved cross-functional teams like biologists and engineers.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Homerun B.V.
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss your experience managing Kubernetes environments, as well as any challenges you've faced and how you overcame them. This will show that you're not just familiar with the technology but also capable of handling real-world issues.
✨Showcase Your Linux Expertise
Since the role requires extensive experience with Linux, be prepared to talk about your favourite distributions, command-line tools, and any automation scripts you've written. Sharing specific examples of how you've optimised systems or solved problems using Linux will definitely impress the interviewers.
✨Highlight Your Deep Learning Knowledge
As this position involves working closely with machine learning engineers, it’s crucial to demonstrate your understanding of deep learning concepts. Discuss any projects where you've applied deep learning optimisation techniques, and be ready to explain how you can support biologists in their work through technology.
✨Emphasise Collaboration and Teamwork
This firm values a fun, supportive work environment, so make sure to highlight your teamwork skills. Share examples of how you've collaborated with cross-functional teams in the past, especially in high-pressure situations. This will show that you’re not only technically skilled but also a great fit for their culture.
