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- Tasks: Manage hybrid Kubernetes fleet and build infrastructure for cutting-edge research.
- Company: Leading biotechnology firm in London with a supportive culture.
- Benefits: Competitive compensation, comprehensive benefits, and a collaborative work environment.
- Why this job: Join a team that merges biology and technology to drive impactful research.
- Qualifications: Experience with Kubernetes, deep learning, and automation technologies required.
- Other info: Exciting opportunity for career growth in a dynamic field.
The predicted salary is between 48000 - 72000 £ per year.
A leading biotechnology firm in London is seeking a Senior Platform Engineer to manage their hybrid Kubernetes fleet and build infrastructure for enhanced research capabilities. This full-time role involves collaborating with biologists and machine learning engineers to support large-scale biological datasets.
Ideal candidates will have significant experience with:
- Kubernetes
- Deep learning
- Automation technologies
The company offers a supportive environment, competitive compensation, and comprehensive benefits.
Senior Platform Engineer: Hybrid Kubernetes & ML Infra in London employer: Basecamp Research
Contact Detail:
Basecamp Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Platform Engineer: Hybrid Kubernetes & ML Infra in London
✨Tip Number 1
Network like a pro! Reach out to folks in the biotechnology and tech space, especially those working with Kubernetes and ML. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects related to Kubernetes and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Kubernetes and automation knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Platform Engineer: Hybrid Kubernetes & ML Infra in London
Some tips for your application 🫡
Show Off Your Kubernetes Skills: Make sure to highlight your experience with Kubernetes in your application. We want to see how you've managed fleets and tackled challenges in the past, so don’t hold back on those details!
Connect the Dots with ML and Biology: Since you'll be collaborating with biologists and machine learning engineers, it’s a good idea to mention any relevant projects or experiences that showcase your ability to bridge these fields. We love seeing how you can contribute to enhanced research capabilities!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role. Avoid jargon unless it’s necessary!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Basecamp Research
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge. Be ready to discuss your experience managing hybrid fleets and any challenges you've faced. Prepare examples of how you've optimised Kubernetes for performance and reliability.
✨Showcase Your Collaboration Skills
Since you'll be working closely with biologists and machine learning engineers, highlight your teamwork experiences. Think of specific projects where you collaborated across disciplines and how you contributed to the success of those projects.
✨Demonstrate Your Deep Learning Expertise
Be prepared to talk about your experience with deep learning frameworks and how you've applied them in real-world scenarios. Bring examples of how you've integrated ML into infrastructure solutions, especially in relation to handling large-scale biological datasets.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's research capabilities and how they leverage technology. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
