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A leading technology recruitment firm in Greater London seeks an experienced Product Manager to take ownership of large-scale cloud data engineering in a complex environment. You will work remotely 70% of the time while collaborating with your team in-person for architectural decisions and training. The ideal candidate will have expertise in Kubernetes and major cloud services like AWS and Azure. Continuous professional development is encouraged, with access to training materials, courses, and conferences to help you advance your career.
You love to build things. Tinker, play around, try something new - just to see what happens. This innovative mindset has led you into a career within technology. Watch the code and infrastructure you envision, toy with and create come to life.
When it comes to tooling you’re well versed and confident with a containerised environment, working to scale quickly and efficiently when necessary. Kubernetes is your tool of choice, simply because you believe it to be the best. You build, manage, maintain and troubleshoot clusters; whether that’s EKS, self hosted or even bare metal. You know it inside out, perhaps you have even investigated and implemented some service mesh tooling - Istio, Linkerd or Fluentd.
In addition to this containerisation knowledge, experience and passion you are well versed in infrastructure as code and the cloud - be that AWS or Azure. You’re automation focused, why do something manually multiple times? Learning is key to you, technology is constantly evolving and changing and so you must too. A technology being invented today could well be the most important tool tomorrow.
The projects you will work on are large scale, presenting engineering focused challenges that few can rival. You’ll collaborate with colleagues, solving problems and enhancing your own skill set. In place is a clear structure for you to grow, you’ll have access to a plethora of training material, an unlimited budget for you to take courses, attend conferences and sit industry leading certifications.
Operating on a remote first basis, you’ll spend around 70% of your time working from home. The rest of the time you’ll meet your team in the office to collaborate on roadmaps, chat through architectural decision meetings and attend training sessions to further your knowledge. In addition, you’ll have clear personalised goals and targets to grow allowing your career to ascend to new heights.
Reach out for more details, no CV needed.
Take ownership of large scale cloud data engineering in a complex scaling GCP environment.
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