At a Glance
- Tasks: Design and implement scalable backend services and ML-powered systems for Spotify's Commerce Platform.
- Company: Join Spotify, a leading tech company with a focus on innovation and collaboration.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a global impact by solving complex challenges in the payments ecosystem.
- Qualifications: Experience in backend development (Java/Python) and hands-on ML experience.
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 in Edinburgh 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 in Edinburgh
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Spotify. Building relationships can open doors that job applications alone can't.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or GitHub repository with projects that highlight your backend engineering skills, especially in Java/Python and ML. This gives potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by practicing coding challenges and system design questions. Brush up on your knowledge of scalable database technologies and be ready to discuss your experience with ML models. Confidence is key!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Spotify.
We think you need these skills to ace Remote Senior Backend Engineer - Commerce Platform in Edinburgh
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 mission at Spotify. Share specific examples of your work in building scalable backend services and data pipelines.
Showcase Your Problem-Solving Skills:In your application, give us a glimpse of your problem-solving approach. Describe challenges you've faced in previous roles and how you tackled them, especially in high-volume transaction environments.
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 your enthusiasm for 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 knowledge of scalable backend services and cloud-native environments like Google Cloud Platform. Being able to discuss your past experiences with these technologies will show that you're ready to hit the ground running.
✨Showcase Your ML Experience
Since the role involves working with Machine Learning, be prepared to talk about your hands-on experience with developing, deploying, or maintaining ML models. Bring examples of how you've used ML in previous projects, especially in relation to fraud detection or data pipelines.
✨Prepare for Technical Discussions
Expect to lead technical discussions during the interview. Practice explaining complex concepts clearly and concisely. You might be asked to design an API or discuss how you would enhance a data pipeline, so think through these scenarios beforehand.
✨Emphasise Collaboration Skills
Spotify values collaboration, so highlight your experience working in cross-functional teams. Share examples of how you've mentored others or contributed to a culture of learning. This will demonstrate that you can not only deliver results but also uplift those around you.
