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- Tasks: Design and implement scalable backend services and data pipelines for Spotify's Commerce platform.
- Company: Join Spotify, a leading music streaming service, making waves in the tech world.
- Benefits: Enjoy flexible work options, including remote work and in-person meetings.
- Why this job: Make a global impact by solving complex challenges with cutting-edge ML technology.
- Qualifications: Experience in Java/Python, cloud-native environments, and machine learning is essential.
- Other info: Mentorship opportunities and a culture of continuous learning await you.
The predicted salary is between 43200 - 72000 £ per year.
Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify\’s Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify\’s revenue-generating systems.
As part of Spotify\’s Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify.
What You\’ll Do
- Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform.
- Develop and enhance our ML-powered systems taking solutions from concept to production.
- Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services.
- Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions.
- Mentor other engineers and foster a culture of continuous learning and technical excellence within the team.
Who You Are
- You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform.
- You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment.
- You have proven experience building and maintaining data pipelines to support ML and analytics use cases.
- You possess practical knowledge of scalable database technologies, such as PostgreSQL.
- You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges.
- You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams.
- Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus.
Where You\’ll Be
- This role is based in London.
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
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Senior Backend Engineer - Commerce Platform employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend Engineer - Commerce Platform
✨Tip Number 1
Familiarise yourself with Spotify's Commerce Platform and its payment ecosystem. Understanding the specific challenges they face, especially around ML and data pipelines, will help you speak confidently about how your skills can contribute to their goals.
✨Tip Number 2
Network with current or former employees of Spotify, particularly those in engineering roles. They can provide insights into the company culture and the technical challenges you might encounter, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with Java and Python in detail, especially in relation to building scalable backend services. Be ready to share specific examples of projects where you've successfully implemented these technologies.
✨Tip Number 4
Showcase your understanding of machine learning applications in backend systems. Be prepared to discuss any relevant projects or experiences where you've developed or maintained ML models, as this is a key aspect of the role.
We think you need these skills to ace Senior Backend Engineer - Commerce Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend services, particularly in Java and Python. Emphasise any work you've done with Machine Learning and data pipelines, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and machine learning. Mention specific projects or experiences that demonstrate your ability to solve complex challenges and your familiarity with scalable database technologies like PostgreSQL.
Showcase Your Problem-Solving Skills: Provide examples in your application that illustrate your problem-solving skills and proactive approach. Highlight situations where you led technical discussions or collaborated with cross-functional teams to deliver impactful solutions.
Highlight Relevant Experience: If you have previous experience in e-commerce or financial engineering, make sure to include this in your application. This background can set you apart from other candidates and show your understanding of high-volume transaction processing.
How to prepare for a job interview at Spotify
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Java and Python in detail. Highlight specific projects where you've built scalable backend services or data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your ML Knowledge
Since the role involves working with Machine Learning, make sure to share your hands-on experience with ML models. Discuss any relevant projects where you've developed, deployed, or maintained these models, and be ready to talk about the impact they had on the business.
✨Emphasise Collaboration and Communication
This position requires working closely with cross-functional teams. Prepare examples of how you've successfully collaborated with engineers, product managers, and data scientists in the past. Highlight your communication skills and how they contributed to project success.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions during the interview. Brush up on your problem-solving techniques and be ready to walk through your thought process when tackling complex challenges, especially those related to backend services and data management.
