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For Companies At a Glance
- 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.
Locations
Platform Engineer in Cheshire, Warrington employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills in real-time! If you get the chance, suggest a technical challenge or a live coding session during interviews. It’s a great way to demonstrate your expertise in GCP, CI/CD, and containerisation.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of AI and data solutions, especially how they relate to cloud-native environments. We want to show that we’re not just engineers, but also thought leaders in the field.
✨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, it shows you’re genuinely interested in joining the team!
We think you need these skills to ace Platform Engineer in Cheshire, Warrington
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 pipeline design and automation shine through!
Showcase Your Projects: Include specific examples of projects where you've used Docker, Kubernetes, or GKE. We love seeing real-world applications of your skills, so don’t hold back!
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 solutions.
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!
How to prepare for a job interview at Lawrence Harvey
✨Know Your Cloud Inside Out
Make sure you brush up on your Google Cloud Platform (GCP) 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 to solve real-world problems.
✨Show Off Your CI/CD Skills
Prepare to talk about your experience with CI/CD pipeline design and automation. Bring examples of how you've implemented these processes in past roles, and be ready to explain the tools and technologies you used, especially in relation to Docker and Kubernetes.
✨Scripting Savvy is Key
Since proficiency in scripting languages like Python, Bash, or Go is essential, make sure you can demonstrate your coding skills. Consider preparing a small coding challenge or discussing a script you've written that improved a process or solved a problem.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities in a cloud-native environment. Think about challenges you've faced in previous roles and how you approached them, particularly in relation to AI and data solutions.