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- Tasks: Design and implement Kubernetes, manage AWS infrastructure, and build Python microservices.
- Company: Exciting AI and Automation software company in central London with a flexible working culture.
- Benefits: Competitive salary of £100K+, hybrid work options, and opportunities for professional growth.
- Why this job: Join a dynamic team to shape the future of AI and automation while enhancing your skills.
- Qualifications: Experience with Terraform, AWS, and a strong understanding of CI/CD pipelines required.
- Other info: Perfect for self-starters looking to make an impact in a fast-growing tech environment.
The predicted salary is between 72000 - 84000 £ per year.
Our client is a growing AI and Automation software company. In their central London office (hybrid, flexible working), they’re looking to hire a Platform / DevOps Engineer to build and scale the platform infrastructure and work with the engineering team to enable seamless CI/CD and improve deployment pipelines. In this key role you’ll design and implement new Kubernetes and container orchestration, own the AWS infrastructure with Terraform, build Python microservices and ensure API integration – Very varied!
Responsibilities
- Design and implement Kubernetes and container orchestration.
- Own AWS infrastructure using Terraform.
- Build Python microservices and ensure API integration.
- Enable seamless CI/CD and improve deployment pipelines.
- Collaborate with engineering to improve platform reliability and scalability.
Qualifications
- Deep understanding of Deployments, Services, ConfigMaps, etc.
- Experience with pod autoscaling (HPA / VPA) and resource optimisation.
- Systems knowledge—from container orchestration and CI/CD pipelines to API design and frontend integration.
- Excellent experience with Infrastructure as Code with Terraform, AWS services (EKS, S3, RDS, ECR, IAM) and DevOps.
- A self-starter who can work autonomously from day one.
- Strong academic background would be ideal.
- Early-stage scaling experience.
- Frontend experience - Next.js, Typescript, etc. - would be ideal.
Platform Engineer - AI - £100K+ in England employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer - AI - £100K+ in England
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes, Terraform, and Python microservices. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of CI/CD pipelines, AWS services, and container orchestration. Practice coding challenges and system design questions to show you’re ready to tackle real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm and makes it easier for us to spot your application.
We think you need these skills to ace Platform Engineer - AI - £100K+ in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Kubernetes, AWS, and Terraform, as these are key for the role. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and automation, and how your background makes you a perfect fit for the Platform Engineer role. Let us know what excites you about working with us!
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to mention them. We love seeing practical examples of your skills in action, especially with Python microservices and CI/CD pipelines. It helps us understand your hands-on experience!
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 shows us you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you have a solid grasp of Kubernetes, Terraform, and AWS services. Brush up on your knowledge of Deployments, Services, and ConfigMaps, as well as pod autoscaling. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially related to CI/CD pipelines and API integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you improved platform reliability and scalability.
✨Demonstrate Your Collaboration Skills
Since this role involves working closely with engineering teams, be ready to share examples of how you've successfully collaborated in the past. Talk about how you’ve contributed to team projects and improved processes, as teamwork is key in this position.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's tech stack, their approach to scaling, and future projects. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals and values.
