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- Tasks: Build and scale AI platform infrastructure while optimising deployment pipelines.
- Company: Exciting AI and Automation software company in central London.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Join a dynamic team and work with cutting-edge technologies in AI.
- Qualifications: Experience with Kubernetes, Terraform, AWS, and strong problem-solving skills.
- Other info: Perfect for self-starters looking to make an impact in tech.
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 Engineer – An 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!
Requirements:
- 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
- Early-stage scaling experience
- Frontend experience - Next.js, Typescript etc - would be ideal
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting and Information Services
Platform DevOps 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 DevOps Engineer - AI - £100K+ in England
✨Tip Number 1
Don’t just sit back and wait for the job to come to you! Reach out directly to the job poster, Oliver Bernard, via LinkedIn or other platforms. A friendly message expressing your interest can really make you stand out.
✨Tip Number 2
Show off your skills in a practical way! If you’ve got a GitHub or portfolio showcasing your work with Kubernetes, Terraform, or Python microservices, make sure to share it. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Network like a pro! Connect with others in the AI and DevOps space, attend meetups, or join online forums. You never know who might have insider info on job openings or can refer you directly to the hiring team.
✨Tip Number 4
Apply through our website! We make it super easy to submit your application and get noticed. Plus, it shows you’re serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Platform DevOps Engineer - AI - £100K+ in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Platform DevOps Engineer role. Highlight your experience with Kubernetes, Terraform, and AWS services. We want to see how your skills match what we're looking for!
Show Off Your Projects: Include any relevant projects or experiences that showcase your ability to build and scale platform infrastructure. If you've worked on CI/CD pipelines or container orchestration, let us know about it!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to your achievements and skills.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
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 around CI/CD pipelines and API integration. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled those issues effectively.
✨Demonstrate Your Autonomy
Since they’re looking for a self-starter, be ready to share examples of projects where you took the initiative. Talk about how you managed your time and resources to achieve results independently, which will resonate well with their expectations.
✨Connect with the Company’s Vision
Research the company’s mission and recent projects in AI and automation. Be prepared to discuss how your skills align with their goals and how you can contribute to their growth. This shows genuine interest and helps you stand out as a candidate.