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 work options, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement.
- 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 in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to make impactful contributions to user satisfaction. With a strong focus on employee growth, we offer opportunities for professional development and the chance to work with cutting-edge technologies in a dynamic environment. Located in the UK, our team enjoys a supportive atmosphere that values creativity and encourages a security-first mindset, making it an ideal place for those looking to advance their careers in cloud infrastructure and automation.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer: Cloud Infra & Automation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Deepstreamtech. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Terraform and Kubernetes. This gives you a chance to demonstrate your expertise and passion for cloud infrastructure.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of recommendation systems and cloud architecture. We recommend practising common interview questions and scenarios related to security-first mindsets.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Platform Engineer: Cloud Infra & Automation in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Terraform, Kubernetes, and any cloud architecture projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing relevant achievements!
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 recommendation systems. We love seeing candidates who can connect their personal interests with our mission.
Showcase Your Security Mindset:Since we value a security-first approach, make sure to mention any relevant experience or certifications you have in this area. We want to know how you prioritise security in your work, especially when managing cloud and on-premises infrastructure.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own channels!
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 how these tools work together to enhance infrastructure. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your Security Mindset
Since a security-first mindset is crucial for this role, be prepared to discuss how you've implemented security measures in past projects. Think about examples where you’ve identified vulnerabilities and how you addressed them. This will demonstrate your proactive approach to security.
✨Collaborate Like a Pro
This role involves working closely with research and data scientists, so highlight your teamwork skills. Prepare examples of successful collaborations and how you’ve contributed to team goals. Showing that you can communicate effectively with different stakeholders will set you apart.
✨Prepare for Scenario Questions
Expect scenario-based questions that test your problem-solving skills in real-world situations. Practice articulating your thought process when faced with challenges related to cloud infrastructure or automation. This will help you convey your analytical skills and adaptability during the interview.
