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- Tasks: Lead a team to enhance platform infrastructure and drive AI-driven initiatives.
- Company: A leading marketplace platform in Greater London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a fast-paced team making a real impact on customer experiences through technology.
- Qualifications: Proven engineering leadership and strong technical skills in cloud platforms and automation.
- Other info: Be part of a dynamic team committed to operational excellence.
The predicted salary is between 60000 - 84000 £ per year.
A leading marketplace platform in Greater London is seeking a Platform Engineering Team Lead to enhance infrastructure and operational excellence. This role will involve driving cross-functional initiatives and applying AI to optimize platform decision-making.
The ideal candidate should possess proven engineering leadership experience and a strong technical background in cloud platforms and automation tools.
Join a dynamic team committed to delivering superior customer experiences in a fast-paced environment.
Platform Engineering Lead — AI-Driven Reliability & Growth in London employer: Fresha
Contact Detail:
Fresha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineering Lead — AI-Driven Reliability & Growth in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and cloud platforms. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to platform engineering. Practice explaining your thought process clearly, as communication is key in cross-functional roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Platform Engineering Lead — AI-Driven Reliability & Growth in London
Some tips for your application 🫡
Show Off Your Leadership Skills: When writing your application, make sure to highlight your engineering leadership experience. We want to see how you've driven teams and projects in the past, so share specific examples that showcase your ability to lead and inspire.
Get Technical: Don’t shy away from diving into the technical details! We’re looking for someone with a strong background in cloud platforms and automation tools, so be sure to mention any relevant technologies you’ve worked with and how they relate to the role.
Emphasise AI Experience: Since this role involves applying AI to optimise platform decision-making, it’s crucial to mention any experience you have with AI technologies. We want to know how you’ve used AI in previous roles to drive results and improve processes.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Fresha
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of cloud platforms and automation tools. Be ready to discuss specific technologies you've worked with and how they can be applied to enhance infrastructure and operational excellence.
✨Showcase Your Leadership Skills
Prepare examples that highlight your engineering leadership experience. Think about times when you drove cross-functional initiatives or led a team through challenges, and be ready to share these stories during the interview.
✨Understand AI's Role in Decision-Making
Since this role involves applying AI to optimise platform decision-making, it’s crucial to understand current trends and applications of AI in engineering. Be prepared to discuss how you would leverage AI to improve processes and customer experiences.
✨Demonstrate Your Problem-Solving Skills
In a fast-paced environment, problem-solving is key. Prepare to tackle hypothetical scenarios or case studies during the interview. Show how you approach challenges and make decisions that lead to superior outcomes for customers.
