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 mentorship.
- 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.
The predicted salary is between 70000 - 90000 £ 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 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 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.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Backend Engineer - Commerce Platform in Londonderry
✨Join Local Tech Meetups
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We think you need these skills to ace Remote Senior Backend Engineer - Commerce Platform in Londonderry
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Grabjobs.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Grabjobs and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Grabjobs
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Grabjobs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
