Application Guide

How to Apply for Software Engineer, Payments & Fraud

at Lime

🏢 About Lime

Lime is a leader in micromobility, offering shared electric scooters and bikes to reduce urban congestion and carbon emissions. Working here means contributing to sustainable transportation solutions while tackling engineering challenges at scale across multiple global markets.

About This Role

As a Software Engineer on the Payments & Fraud team, you'll build and maintain the core platforms that process millions of transactions, ensuring secure and reliable payment flows. Your work directly impacts user trust and Lime's financial integrity, with opportunities to leverage AI to enhance fraud detection and operational efficiency.

💡 A Day in the Life

Your morning starts with a standup to sync with your remote team, then you dive into coding a new fraud detection rule or optimizing a payment API. After lunch, you analyze transaction data to identify anomalies, then collaborate with data scientists on a model to reduce chargebacks. You end the day reviewing a design doc for a new payment method integration.

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🎯 Who Lime Is Looking For

  • Has 2+ years of software engineering experience with a proven track record of delivering impactful features in payments, fraud, or fintech domains.
  • Thinks like an owner—proactively identifies problems, takes initiative, and drives solutions to completion with a bias for action.
  • Relies on data to guide decisions: comfortable with analytics tools, A/B testing, and using metrics to measure success and iterate.
  • Communicates effectively across teams (engineering, product, data science, finance) and can manage competing priorities in a fast-paced environment.

📝 Tips for Applying to Lime

1

Highlight any experience with payment systems (Stripe, Adyen) or fraud detection; mention specific projects where you improved transaction success rates or reduced fraud.

2

Show your data-driven mindset by including examples of how you used metrics (e.g., conversion rates, latency) to guide engineering decisions.

3

Emphasize experience with AI or machine learning tools—even if not required, mention any use of LLMs or predictive models to improve engineering workflows.

4

Tailor your resume to Lime's mission: include keywords like 'micromobility', 'scalable systems', and 'transaction processing' to align with their context.

5

If you have worked remotely before, mention it—Lime is remote for this role, so demonstrate your ability to collaborate asynchronously and stay productive.

✉️ What to Emphasize in Your Cover Letter

["Your passion for sustainable urban mobility and how Lime's mission resonates with you.", 'Specific examples of building or scaling payment/fraud systems, including the impact on business metrics.', "How you've used data to drive product decisions and improve system reliability.", "Your comfort with modern AI tools and how you've applied them to solve engineering challenges."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read Lime's engineering blog or tech talks to understand their tech stack and engineering culture.
  • → Study Lime's payment flow as a user—identify potential pain points or fraud vulnerabilities.
  • → Research Lime's expansion into new markets and how payment/fraud systems adapt to different regions.
  • → Look into Lime's sustainability reports and understand how they measure environmental impact.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Design a payment system that handles millions of transactions with high reliability and low latency.
2 How would you detect and prevent fraudulent transactions in a real-time payment flow?
3 Describe a time you used data to identify a bottleneck or improve system performance.
4 How do you prioritize competing features when working with multiple stakeholders (product, finance, data science)?
5 Walk us through a complex project you shipped: from requirements to deployment and monitoring.
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⚠️ Common Mistakes to Avoid

  • Submitting a generic application without mentioning payments, fraud, or data-driven decision making.
  • Ignoring the 'owner's mindset' requirement—don't just list responsibilities; highlight outcomes and initiative.
  • Failing to demonstrate remote work readiness—no examples of self-management or async communication.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Lime!

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