At a Glance
- Tasks: Build and scale backend services for Spotify's Commerce Platform using Java/Python.
- Company: Join Spotify, a leading music streaming platform with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team culture with mentorship opportunities and career advancement.
- Why this job: Make a global impact by solving complex challenges in payments and machine learning.
- Qualifications: Experience in backend development, ML, and data pipelines in cloud environments.
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.
Remote Senior Backend Engineer - Commerce Platform employer: Spotify
Spotify is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior Backend Engineers passionate about data and machine learning. With a commitment to employee growth, Spotify offers opportunities for mentorship and continuous learning, all while providing the flexibility to work from home or in the vibrant city of London. Join us to be part of a team that not only values your contributions but also empowers you to make a global impact in the payments ecosystem.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer - Commerce Platform
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than any application.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend services and ML. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and system design principles. Practice common coding challenges and be ready to discuss your past experiences in detail.
✨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 are proactive about their job search!
We think you need these skills to ace Remote Senior Backend Engineer - Commerce Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend engineering experience, especially with Java or Python, and any work you've done with ML systems.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this role and how your background aligns with our needs. Share specific examples of your work in building scalable backend services and data pipelines.
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—demonstrate them! Include examples of complex challenges you've tackled in previous roles, particularly those related to payments or e-commerce.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Spotify
✨Know Your Tech Stack
Make sure you’re well-versed in Java and Python, as these are crucial for the role. Brush up on your experience with cloud-native environments like Google Cloud Platform, and be ready to discuss how you've built and scaled backend services in the past.
✨Showcase Your ML Experience
Since the role involves working with Machine Learning, prepare to talk about your hands-on experience with ML models. Be specific about how you've developed, deployed, or maintained these models in a production environment, and share any relevant projects that highlight your skills.
✨Demonstrate Problem-Solving Skills
Expect to face some technical challenges during the interview. Think of examples from your past where you tackled complex problems, especially in high-volume transaction processing or e-commerce. This will show your proactive approach and ability to think critically under pressure.
✨Emphasise Collaboration
As this role requires working with cross-functional teams, be prepared to discuss your experience collaborating with engineers, product managers, and data scientists. Highlight instances where you led technical discussions or mentored others, showcasing your communication skills and team spirit.
