At a Glance
- Tasks: Architect 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 a culture of continuous learning and technical excellence.
- 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.
- 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.
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 Armagh 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 remotely from London. Join us to be part of a dynamic team that is shaping the future of payments in a global context.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer - Commerce Platform in Armagh
✨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 projects 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 in Armagh
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 data pipelines or 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 past projects that demonstrate your problem-solving skills and technical expertise.
Showcase Your Projects:If you have any relevant projects or contributions to open-source, make sure to include them. We love seeing practical applications of your skills, especially in building scalable backend services or working with ML models.
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 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 any ML models you've developed or maintained. Share specific examples of how you've implemented ML solutions in production environments, and don’t forget to mention any data pipelines you've built to support analytics.
✨Prepare for Technical Discussions
Expect to lead some technical discussions during the interview. Practice articulating your thought process when it comes to API design and system architecture. Being able to clearly explain your approach to scalability and reliability will demonstrate your expertise and confidence.
✨Emphasise Collaboration Skills
Spotify values teamwork, so highlight your experience working with cross-functional teams. Share examples of how you've collaborated with product managers and data scientists to deliver impactful solutions. This will show that you can thrive in a diverse team environment and contribute to a culture of continuous learning.
