Senior Platform Engineer: Cloud AI Systems (AWS/GCP)
Senior Platform Engineer: Cloud AI Systems (AWS/GCP)

Senior Platform Engineer: Cloud AI Systems (AWS/GCP)

Full-Time 60000 - 80000 £ / year (est.) No home office possible
Carbon Re

At a Glance

  • Tasks: Enhance cloud architecture and mentor junior engineers in a dynamic environment.
  • Company: Leading environmental tech firm in Greater London with a collaborative culture.
  • Benefits: Equity, flexible hours, generous holiday, and pension scheme.
  • Why this job: Join a mission-driven team and make a positive impact on the environment.
  • Qualifications: Strong skills in AWS/GCP, Python, and CI/CD processes.

The predicted salary is between 60000 - 80000 £ per year.

A leading environmental technology firm in Greater London is seeking a Senior Software Engineer to enhance their cloud architecture capabilities. This role involves owning platform components across AWS and GCP, deploying workloads in customer environments, and mentoring junior engineers.

Candidates should possess strong skills in cloud platforms, Python, and CI/CD processes.

The company promotes a collaborative work culture and offers:

  • Equity
  • Flexible working hours
  • Generous holiday
  • Pension scheme

Senior Platform Engineer: Cloud AI Systems (AWS/GCP) employer: Carbon Re

As a leading environmental technology firm in Greater London, we pride ourselves on fostering a collaborative work culture that empowers our employees to thrive. With flexible working hours, generous holiday allowances, and a robust pension scheme, we prioritise the well-being and growth of our team members. Join us to not only advance your career as a Senior Platform Engineer but also contribute to meaningful environmental solutions while enjoying equity in a forward-thinking company.
Carbon Re

Contact Detail:

Carbon Re Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Platform Engineer: Cloud AI Systems (AWS/GCP)

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those working with AWS and GCP. A friendly chat can lead to insider info about job openings or even a referral.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your cloud architecture projects, especially any work with Python and CI/CD processes. This will give you an edge and demonstrate your hands-on experience.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions related to cloud systems. We recommend practicing coding challenges and system design scenarios to impress your interviewers.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior Platform Engineer: Cloud AI Systems (AWS/GCP)

Cloud Architecture
AWS
GCP
Python
CI/CD Processes
Mentoring
Collaboration
Workload Deployment

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with AWS and GCP, as well as your Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our collaborative culture. We love seeing genuine enthusiasm!

Showcase Your CI/CD Knowledge: Since this role involves deploying workloads, make sure to mention your experience with CI/CD processes. We’re keen to know how you’ve implemented these in past projects, so give us the details!

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 from our team!

How to prepare for a job interview at Carbon Re

✨Know Your Cloud Platforms Inside Out

Make sure you brush up on your knowledge of AWS and GCP. Be ready to discuss specific services, tools, and your experience with deploying workloads. Having real-world examples of how you've used these platforms will show that you're not just familiar but truly skilled.

✨Show Off Your Python Skills

Since Python is a key requirement, prepare to talk about your projects or tasks where you've used it. Bring examples of code you've written or problems you've solved using Python, especially in the context of cloud systems. This will demonstrate your technical prowess.

✨Emphasise CI/CD Experience

Be prepared to discuss your experience with Continuous Integration and Continuous Deployment processes. Share specific tools you've used and how they've improved your workflow. This shows that you understand the importance of automation in cloud environments.

✨Highlight Your Mentoring Experience

As this role involves mentoring junior engineers, think about times you've helped others grow. Share stories that illustrate your leadership style and how you foster collaboration. This aligns perfectly with the company's culture and shows you're a team player.

Senior Platform Engineer: Cloud AI Systems (AWS/GCP)
Carbon Re

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