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- Tasks: Join our AI solutions team to scale and operate cutting-edge cloud infrastructure.
- Company: Leading tech-driven organisation focused on innovative AI technology.
- Benefits: Remote work, competitive salary, and opportunities for career advancement.
- Why this job: Work with the latest AI tech and make a real impact in the industry.
- Qualifications: Experience with AWS, Kubernetes, and CI/CD; client-facing skills are a plus.
- Other info: Be part of a dynamic team with the chance to help build future talent.
The predicted salary is between 43200 - 72000 £ per year.
Looking to work on cutting edge AI technology? We’re working with a leading tech‑driven organisation looking for a Platform Engineer to join their AI solutions team, to help scale and operate their Kubernetes‑based cloud infrastructure. You’ll work hands‑on across AWS, Kubernetes, CI/CD, and AWS Bedrock, with the chance to help build out a future team.
This team works closely with the client to build bespoke AI solutions, so client-facing experience would be an asset.
Senior Engineer (Platform Engineering) employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer (Platform Engineering)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and platform engineering space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Kubernetes and AWS. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on client-facing scenarios. Think about how you've communicated technical concepts to non-techies in the past. We want to see that you can bridge the gap!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Engineer (Platform Engineering)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes, AWS, and CI/CD. We want to see how your skills align with the cutting-edge AI technology we’re working on!
Showcase Client-Facing Experience: If you’ve got any client-facing experience, don’t hold back! We love seeing how you’ve interacted with clients to build bespoke solutions, so make it stand out in your application.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to your passion for platform engineering and AI.
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 Opus Recruitment Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Kubernetes, AWS, and CI/CD processes. Brush up on your knowledge of AWS Bedrock too, as it’s a key part of the role. Being able to discuss specific projects or experiences where you've used these technologies will really impress the interviewers.
✨Showcase Your Client-Facing Skills
Since this role involves working closely with clients, be prepared to share examples of your client-facing experience. Think about times when you’ve successfully communicated technical concepts to non-technical stakeholders or resolved client issues effectively.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges related to platform engineering. Practice articulating your thought process and problem-solving skills. This is your chance to demonstrate your hands-on experience and how you approach real-world problems.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the company’s vision for AI solutions, or how they measure success in this role. This shows your genuine interest and helps you assess if the company is the right fit for you.
