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- Tasks: Maintain reliable AI services on Azure and Kubernetes while managing observability features.
- Company: Leading clinical trial technology firm in the UK with a vibrant hybrid culture.
- Benefits: Professional growth opportunities and a modern approach to work-life balance.
- Why this job: Join a cutting-edge team and make a real impact in clinical trial management.
- Qualifications: Over 5 years of SRE or DevOps experience, hands-on with LangChain.
- Other info: Dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading clinical trial technology firm in the UK is looking for an SRE specializing in LLMOps to maintain reliable AI services on Azure and Kubernetes. The ideal candidate should have over 5 years of experience in SRE or DevOps and be hands-on with LangChain while managing observability features. This role promises opportunities for professional growth and a vibrant hybrid working culture, ensuring a modern approach to clinical trial management.
LLMOps & SRE Engineer — AI Platform on Azure employer: CluePoints
Contact Detail:
CluePoints Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLMOps & SRE Engineer — AI Platform on Azure
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Azure and Kubernetes. We want to see your hands-on experience with LangChain and observability features!
✨Tip Number 3
Prepare for interviews by practising common SRE and LLMOps questions. We recommend doing mock interviews with friends or using online platforms. The more you practice, the more confident you'll feel!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace LLMOps & SRE Engineer — AI Platform on Azure
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in SRE and LLMOps. We want to see how your skills align with maintaining reliable AI services on Azure and Kubernetes, so don’t hold back!
Showcase Your Projects: If you've worked with LangChain or have managed observability features, let us know! Include specific projects that demonstrate your hands-on experience, as this will really catch our eye.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how you can contribute to our vibrant hybrid working culture. We love hearing your passion!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at CluePoints
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure, Kubernetes, and LangChain. Brush up on your technical skills and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show your hands-on experience.
✨Demonstrate Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios related to maintaining AI services. Think about how you would approach issues like downtime or performance bottlenecks. This will highlight your SRE mindset and ability to think on your feet.
✨Showcase Your Observability Knowledge
Since managing observability features is key for this role, be ready to discuss tools and techniques you’ve used to monitor and improve system reliability. Share any metrics or KPIs you’ve tracked and how they influenced your decisions.
✨Embrace the Hybrid Culture
Familiarise yourself with the hybrid working model and be prepared to discuss how you thrive in such environments. Share experiences where you successfully collaborated with remote teams or managed projects across different locations.