Application Guide

How to Apply for Senior Software Engineer - Backend

at Swiftly, Inc

🏢 About Swiftly, Inc

Swiftly is at the forefront of urban transit innovation, leveraging real-time data and advanced algorithms to make public transportation more efficient, reliable, and appealing. By reducing emissions and improving rider experience, you'll directly contribute to sustainable urban mobility and smarter cities.

About This Role

As a Senior Backend Engineer, you'll architect and build the real-time systems that power vehicle tracking, ETA predictions, and disruption detection—critical components that transit agencies and riders rely on daily. Your work will directly impact millions of commuters by making transit more predictable and efficient.

💡 A Day in the Life

Your day might start with a standup discussing progress on a new ETA prediction algorithm, then dive into coding a Kafka consumer for vehicle positions. After lunch, you'd collaborate with a data scientist to prototype a disruption detection model, and later review a PR for a new API endpoint. You'll end the day monitoring system performance and tweaking a DynamoDB table for better latency.

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Interview Prep

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🎯 Who Swiftly, Inc Is Looking For

  • You have 5+ years of experience building data-intensive or real-time systems, with a strong grasp of streaming data (e.g., Kafka, Kinesis) and event-driven architectures.
  • You are deeply proficient in Java and have hands-on experience with AWS cloud-native services (e.g., Lambda, DynamoDB, SQS, ECS) for scalable backend solutions.
  • You excel at designing and optimizing APIs and SQL queries to handle high-throughput, low-latency data pipelines.
  • You thrive in a collaborative, cross-functional environment and enjoy prototyping and iterating quickly to deliver incremental value.

📝 Tips for Applying to Swiftly, Inc

1

Highlight specific projects where you built real-time data pipelines or low-latency systems (e.g., streaming ETA predictions, map-matching).

2

Emphasize your experience with AWS services like Kinesis, Lambda, or DynamoDB, and mention any work with geospatial data or GPS tracking.

3

Quantify impact: e.g., 'Reduced ETA latency by 30%' or 'Processed 1M+ events per minute.'

4

Show familiarity with transit domain—mention any projects related to transit, logistics, or mobility if applicable.

5

Tailor your resume to include keywords like 'real-time', 'streaming', 'event-driven', 'map-matching', and 'predictive algorithms'.

✉️ What to Emphasize in Your Cover Letter

['Express passion for improving public transit and reducing urban emissions through technology.', 'Highlight your experience with real-time data processing and Java/AWS backend development.', "Mention specific challenges you've solved in data-intensive or low-latency systems.", 'Convey enthusiasm for working in a cross-functional, fast-paced environment where you can prototype and iterate.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Read about Swiftly's products (e.g., Swiftly GTFS, Real-time Predictions) and understand their impact on transit agencies.
  • → Explore their engineering blog or tech talks to learn about their tech stack and challenges.
  • → Understand the transit industry: GTFS standard, real-time transit data challenges, and how Swiftly differentiates from competitors.
  • → Check out recent news or case studies about Swiftly's partnerships or deployments in cities.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Design a real-time ETA prediction system: discuss data ingestion, map-matching, and latency optimization.
2 How would you handle GPS data noise and outages in vehicle tracking?
3 Explain your approach to building a scalable, fault-tolerant streaming pipeline on AWS.
4 Describe a time you optimized a slow API or database query for high throughput.
5 How would you integrate a new data source (e.g., GTFS feed) into the existing system?
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⚠️ Common Mistakes to Avoid

  • Don't focus only on frontend or mobile experience—this is a backend role emphasizing real-time systems.
  • Avoid vague claims like 'worked with big data' without specifics on streaming, latency, or throughput.
  • Don't neglect to mention cloud-native experience (especially AWS) even if you have strong Java skills.

📅 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 Swiftly, Inc!

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