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- Tasks: Design and maintain cloud-based platforms for innovative AI solutions.
- Company: Join a Big Four consulting firm with a strong tech reputation.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on cutting-edge AI projects.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: 3+ years in cloud platforms, CI/CD, Docker, Kubernetes, and scripting.
The predicted salary is between 60000 - 80000 £ per year.
A Big Four consulting firm with one of the most recognised names in professional services and technology is expanding its platform engineering capability following a highly successful Q1 through multiple project wins and as part of a £3 billion+ commitment to AI investment. They are hiring Platform Engineers to join their Data & AI practice, playing a key role in delivering innovative solutions to clients embarking on their AI journey.
This is an opportunity to work within a high-impact, cloud-native engineering environment at scale designing, building and maintaining the platforms that power next-generation data and AI products across a broad range of enterprise clients, primarily on Google Cloud.
Location: Manchester or Newcastle (Hybrid) with travel to client sites
To be considered:
- Min 3 years of experience designing, building and maintaining cloud-based platforms and infrastructure, with a strong focus on GCP.
- Strong background in CI/CD pipeline design and automation.
- Experience with Docker, Kubernetes and GKE.
- Proficiency in scripting languages such as Python, Bash or Go.
This is an excellent opportunity for an experienced platform engineer to work on cutting-edge AI and data programmes, influence technical direction, and join an organisation that is actively investing in AI as a core capability.
Platform Engineer in Bolton employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer in Bolton
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving GCP, Docker, and Kubernetes. We want to see your hands-on experience, so make sure it’s easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your CI/CD pipeline knowledge and scripting languages. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 are proactive about their job search!
We think you need these skills to ace Platform Engineer in Bolton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud-based platforms, especially GCP. We want to see how your skills in CI/CD, Docker, and Kubernetes shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and data, and how you can contribute to our innovative projects.
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! We love seeing real examples of your work, especially those that demonstrate your expertise in building and maintaining cloud platforms.
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 this exciting opportunity!
How to prepare for a job interview at Lawrence Harvey
✨Know Your Cloud Stuff
Make sure you brush up on your Google Cloud Platform knowledge. Be ready to discuss your experience with cloud-based platforms and how you've designed, built, and maintained them. Highlight specific projects where you've used GCP, as this will show you're the right fit for their needs.
✨Show Off Your CI/CD Skills
Since they’re looking for someone with a strong background in CI/CD pipeline design and automation, be prepared to talk about your experience in this area. Bring examples of how you've implemented CI/CD processes in past roles, and don’t forget to mention any tools you’ve used!
✨Get Familiar with Containers
Docker and Kubernetes are key players in this role, so make sure you can speak confidently about your experience with these technologies. Discuss how you've used them in previous projects, and if possible, share any challenges you faced and how you overcame them.
✨Scripting is Key
Proficiency in scripting languages like Python, Bash, or Go is essential. Prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice some common scripting tasks beforehand to ensure you’re ready to impress!