Cloud Platform Engineering Manager — SaaS & AI Stack
Cloud Platform Engineering Manager — SaaS & AI Stack

Cloud Platform Engineering Manager — SaaS & AI Stack

Full-Time 48000 - 72000 £ / year (est.) No home office possible
Dataiku

At a Glance

  • Tasks: Lead a team of engineers in developing cutting-edge cloud solutions.
  • Company: A leading AI platform provider with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Shape the future of AI while mentoring the next generation of tech talent.
  • Qualifications: Proven technical leadership experience and strong skills in Python, Kubernetes, and AWS.
  • Other info: Join a dynamic team and make a real impact in the AI landscape.

The predicted salary is between 48000 - 72000 £ per year.

A leading AI platform provider in Middle Barton is seeking an Engineering Manager for their Cloud Engineering team. This role involves guiding a squad of engineers and collaborating with various departments to align technical decisions with business value.

The ideal candidate should have strong experience in technical leadership, mentoring engineers, and navigating cross-team relationships. Key technologies include Python, Kubernetes, and AWS. Join us to make a significant impact in the AI landscape.

Cloud Platform Engineering Manager — SaaS & AI Stack employer: Dataiku

As a leading AI platform provider in Middle Barton, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from comprehensive growth opportunities, including mentorship programmes and access to cutting-edge technologies like Python, Kubernetes, and AWS. Join us to be part of a team that not only values your contributions but also empowers you to make a meaningful impact in the rapidly evolving AI landscape.
Dataiku

Contact Detail:

Dataiku Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Cloud Platform Engineering Manager — SaaS & AI Stack

Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or cloud platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, Kubernetes, and AWS. This gives potential employers a taste of what you can bring to their team.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've mentored engineers and navigated cross-team relationships in past roles. We want to see your impact!

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 joining our mission in the AI landscape.

We think you need these skills to ace Cloud Platform Engineering Manager — SaaS & AI Stack

Technical Leadership
Mentoring Engineers
Cross-Team Collaboration
Python
Kubernetes
AWS
Cloud Engineering
Business Alignment

Some tips for your application 🫡

Show Your Leadership Skills: When writing your application, make sure to highlight your experience in technical leadership and mentoring. We want to see how you've guided teams in the past and how you can bring that expertise to our Cloud Engineering team.

Align with Our Values: Take a moment to understand our mission and values. In your application, reflect on how your personal values align with ours, especially in terms of collaboration and driving business value through technology. This will show us you're a great fit!

Be Specific About Your Tech Skills: We’re looking for someone with strong experience in Python, Kubernetes, and AWS. Make sure to mention specific projects or achievements where you’ve used these technologies. This helps us see your hands-on experience and how you can contribute to our team.

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 any important updates. Plus, it shows us you’re keen on joining our team!

How to prepare for a job interview at Dataiku

Know Your Tech Inside Out

Make sure you brush up on your knowledge of Python, Kubernetes, and AWS. Be ready to discuss how you've used these technologies in past projects and how they can be leveraged to drive business value.

Showcase Your Leadership Skills

Prepare examples that highlight your experience in mentoring engineers and leading teams. Think about specific challenges you've faced and how you navigated cross-team relationships to achieve success.

Align with Business Goals

Understand the company's mission and how the Cloud Engineering team fits into their overall strategy. Be prepared to discuss how you can align technical decisions with business objectives during the interview.

Ask Insightful Questions

Come equipped with thoughtful questions about the team's current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.

Cloud Platform Engineering Manager — SaaS & AI Stack
Dataiku

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