At a Glance
- Tasks: Enhance user satisfaction by developing cloud architecture and improving recommendation systems.
- Company: Join Deepstreamtech, a leader in innovative tech solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with top researchers and data scientists in a dynamic environment.
- Why this job: Make a real impact on millions of Spotify users with your skills in cloud and automation.
- Qualifications: Experience with Terraform, Kubernetes, and a security-first mindset required.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is seeking a Machine Learning Engineer to join their Personalization team, focusing on enhancing user satisfaction through impactful changes to recommendation systems. The role involves developing cloud architecture, collaborating with research and data scientists, and managing both cloud and on-premises infrastructure.
Candidates should have experience with Terraform, Kubernetes, and a security-first mindset, and ideally hold UK Security Clearance.
Join us in making recommendations that keep millions of Spotify users engaged.
Platform Engineer: Cloud Infra & Automation employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to make meaningful contributions to cutting-edge cloud infrastructure and automation projects. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work alongside talented professionals in a dynamic environment, all while being part of a mission that impacts millions of users globally.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer: Cloud Infra & Automation
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Deepstreamtech. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with Terraform and Kubernetes, create a small project or demo to showcase your expertise. This hands-on approach can really impress during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your cloud architecture knowledge and be ready to discuss how you would enhance recommendation systems. We want to see your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Platform Engineer: Cloud Infra & Automation
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Platform Engineer role. Highlight your experience with Terraform, Kubernetes, and any cloud architecture projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about enhancing user satisfaction through technology. Share specific examples of how you've made impactful changes in previous roles, especially in recommendation systems.
Showcase Your Security Mindset:Since we value a security-first mindset, be sure to mention any relevant experience you have in this area. Whether it's securing cloud infrastructure or implementing best practices, let us know how you prioritise security in your work.
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. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you’re well-versed in Terraform, Kubernetes, and cloud architecture. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with research and data scientists, prepare examples of how you’ve successfully collaborated in the past. Highlight any cross-functional projects where you contributed to enhancing user satisfaction or improving systems.
✨Emphasise Security Awareness
With a security-first mindset being crucial for this position, be prepared to discuss your approach to security in cloud infrastructure. Share specific instances where you implemented security measures or addressed vulnerabilities in your previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you’ve faced in cloud management or automation and how you overcame them. This will demonstrate your critical thinking and adaptability.
