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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 focus on technology and AI.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work with top-tier clients and influence the future of AI technology.
- Why this job: Be at the forefront of AI and data engineering in a dynamic environment.
- 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 Manchester employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the Big Four firm on LinkedIn. A friendly chat can give us insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in action! If you’ve got a GitHub or portfolio showcasing your cloud-based projects, make sure to highlight that during interviews. It’s a great way to demonstrate your experience with GCP and CI/CD pipelines.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Docker, Kubernetes, and scripting skills. 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’re always looking for passionate platform engineers ready to dive into AI and data projects!
We think you need these skills to ace Platform Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Platform Engineer role. Highlight your experience with cloud-based platforms, especially GCP, and showcase your skills in CI/CD pipeline design and automation. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data, and how your experience makes you a perfect fit for our team. Let us know what excites you about working in a cloud-native engineering environment.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills! Mention your proficiency in Docker, Kubernetes, and scripting languages like Python or Bash. We’re looking for someone who can hit the ground running, so make sure we see your expertise front and centre.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application better!
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. Have examples ready that showcase how you've implemented these processes in past roles, especially if they relate to Docker, Kubernetes, or GKE. This will demonstrate your hands-on expertise.
✨Scripting Savvy is Key
Since proficiency in scripting languages like Python, Bash, or Go is crucial, be prepared to discuss your coding experience. You might even want to bring a small project or code snippet to share, showing how you've used these languages to automate tasks or improve efficiency.
✨Understand the AI Landscape
Given the focus on AI and data, it’s important to show your understanding of current trends and technologies in this space. Research the latest advancements in AI and be ready to discuss how they can impact platform engineering. This will show your enthusiasm for the role and the industry.