At a Glance
- Tasks: Build and scale cutting-edge Kubernetes infrastructure for machine learning and data science.
- Company: Join a forward-thinking tech company in London with a hybrid work culture.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work closely with cross-functional teams and enhance your skills in a supportive atmosphere.
- Why this job: Make a real impact by collaborating on innovative projects in a dynamic environment.
- Qualifications: Bachelor's degree in Computer Science and 3+ years in software engineering required.
The predicted salary is between 60000 - 80000 £ per year.
As an Engineer within the Platform Team, you will play a key role in building and scaling infrastructure that powers machine learning and data science initiatives. You will collaborate closely with cross-functional teams to design and maintain high-performance systems, ensuring reliability, scalability, and efficiency across a hybrid cloud environment.
Key Responsibilities
- Contribute to the architecture and development of Kubernetes-based infrastructure across private and public cloud environments
- Build and manage internal and external applications, APIs, and services
- Improve CI/CD pipelines to support efficient development and deployment workflows
- Implement monitoring and alerting systems to ensure system reliability
- Develop and maintain backup, disaster recovery, and failover strategies
- Enforce security best practices and ensure compliance with relevant standards
- Partner with Machine Learning and Data Science teams to support computational needs
Requirements
- Bachelor’s degree in Computer Science or a related field
- 3+ years of experience in software engineering and cloud infrastructure
- Strong experience with Kubernetes and containerized environments
- Strong experience with CI/CD tools (e.g., GitHub Actions, ArgoCD)
- Experience with Infrastructure as Code tools (e.g., Terraform)
- Proficiency in Python; additional experience in Go is a plus
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Experience with DataOps or MLOps
Kubernetes Platform Engineer employer: Hlx Life Sciences
Hlx Life Sciences is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal environment for those passionate about advancing drug design and discovery. Join us to be part of a forward-thinking team dedicated to impactful scientific breakthroughs.
StudySmarter Expert Advice🤫
We think this is how you could land Kubernetes Platform Engineer
✨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 or GitHub repository showcasing your Kubernetes projects and CI/CD pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around Kubernetes and cloud infrastructure. Practice common interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace Kubernetes Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Kubernetes and cloud infrastructure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles, especially related to CI/CD pipelines or Kubernetes. We’re looking for those analytical skills that will help us build robust systems!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss your experience with Kubernetes-based infrastructure, including any challenges you've faced and how you overcame them. This will show that you’re not just familiar with the technology but can also apply it effectively.
✨Showcase Your CI/CD Expertise
Since the role involves improving CI/CD pipelines, be prepared to talk about your experience with tools like GitHub Actions or ArgoCD. Bring examples of how you've optimised workflows in the past, as this will demonstrate your hands-on experience and problem-solving skills.
✨Highlight Collaboration Skills
This position requires working closely with cross-functional teams, so be ready to share examples of successful collaborations. Discuss how you’ve partnered with data science or machine learning teams in previous roles, and what impact that had on project outcomes.
✨Prepare for Technical Questions
Expect some technical questions related to cloud infrastructure and Infrastructure as Code tools like Terraform. Brush up on your Python skills too, and if you have experience with Go, don’t hesitate to mention it. Being able to demonstrate your technical prowess will set you apart from other candidates.
