At a Glance
- Tasks: Design and implement scalable backend services and data pipelines 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: Mentorship opportunities and a culture of continuous learning await you.
- Why this job: Make a global impact by solving complex challenges in a dynamic environment.
- Qualifications: Experience in Java/Python, machine learning, and building data pipelines.
The predicted salary is between 70000 - 90000 £ per year.
Job Description
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 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.
- 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‑based 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 Postgre SQL.
- 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 flexibility to work where you work best! There will be some in‑person meetings, but it still allows for flexibility to work from home.
- #J-18808-Ljbffr
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