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- Tasks: Design and scale AWS platforms while supporting AI and HPC workloads.
- Company: High-growth life sciences company focused on cloud and AI innovation.
- Benefits: Long-term contract, competitive pay, and the chance to make a real impact.
- Why this job: Join a mission-driven team transforming healthcare through technology.
- Qualifications: Strong AWS and DevOps experience, with a focus on AI/ML environments.
- Other info: Opportunity for hands-on work in a dynamic, regulated industry.
The predicted salary is between 48000 - 72000 £ per year.
A high-growth life sciences / MedTech portfolio company backed by a Growth Equity Firm is hiring a Senior AWS Developer / DevOps Engineer to support a major cloud and AI modernisation programme. You’ll play a hands-on role building secure, enterprise-grade AWS platforms, enabling agentic AI workloads, and supporting HPC / data-intensive systems used across pharma and healthcare.
Responsibilities
- Design and scale AWS landing zones and cloud-native platforms
- Build CI/CD, IaC (Terraform), and DevOps automation
- Support AI/ML and HPC workloads in regulated environments
- Work closely with platform, AI, and security teams
Qualifications
- Strong hands-on AWS + DevOps background
- Experience with AI/ML or high-throughput compute environments
- Comfortable in regulated industries (pharma, medtech, healthcare)
Why apply
- Outside-IR35, long-term contract
- Real impact on healthcare and life-sciences platforms
Message me for full details or a confidential conversation.
Cloud Engineer in Cambridge employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in cloud engineering or DevOps. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, CI/CD pipelines, and any cool AI/ML work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AWS, DevOps, and regulated environments to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that could be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Cloud Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AWS and DevOps experience. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on projects and relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about cloud engineering and how your background in AI/ML or HPC makes you a perfect fit for our team at StudySmarter.
Showcase Relevant Projects: If you've worked on any projects involving CI/CD, Terraform, or AI workloads, make sure to mention them! We love seeing real-world applications of your skills, especially in regulated environments like pharma and healthcare.
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 our team!
How to prepare for a job interview at Experis UK
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge before the interview. Familiarise yourself with the latest features and best practices, especially around building secure, enterprise-grade platforms. Being able to discuss specific AWS services and how they relate to AI/ML workloads will definitely impress.
✨Showcase Your DevOps Skills
Prepare to talk about your experience with CI/CD, Infrastructure as Code (IaC) using Terraform, and any automation you've implemented. Have examples ready that demonstrate how you've improved processes or solved problems in previous roles, particularly in regulated environments like pharma or healthcare.
✨Understand the Industry Context
Since this role is in the life sciences and MedTech sector, it’s crucial to understand the challenges and regulations involved. Brush up on current trends in healthcare technology and be ready to discuss how your skills can contribute to their cloud and AI modernisation programme.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company’s cloud strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
