Senior Software Engineer (Full-Stack | Django | Android | AI) (Fully Remote)

The Role

Our Client is looking for a Senior Software Engineer to help build the next generation platform—combining robust engineering with AI and emerging tech to power real-world impact at scale.

You’ll be building and evolving:

• The Django + PostgreSQL backend that powers everything from payments to rider analytics
• The Android ReactNative mobile app used daily by riders across Kenya
• Cloud deployment infrastructure using Digital Ocean and other cloud providers like AWS
• New AI-driven features: route optimization, performance prediction, rider matching, smart battery analytics
• Foundations for ride-sharing and crypto-enabled transactions or token systems

This is a generalist role in a small, elite team—you’ll touch every part of the stack and help shape what mobility looks like for the next billion users.

What You’ll Do

• Design, build, and scale Django APIs and services used by our web and mobile apps
• Build and support features in our Android ReactNative mobile app (native experience also welcome)
• Work with PostgreSQL data models to manage everything from telemetry to payments.
• Not only deploy code to AWS or DigitalOcean server but help shape and build the architecture into the future.
• Design and prototype AI-powered features using data from our bikes and riders.
• Help architect systems for crypto payment integration and future token-based features.
• Build internal tools to support operations, customer support, and maintenance workflows.

Pitch in where needed: testing, ops, support, architecture—you are part of a small team with high leverage.

You Might Be a Fit If You…

• Have 5+ years of experience building and deploying software in production
• Are fluent in Python, Django, React, and PostgreSQL
• Have hands-on experience deploying and monitoring systems in AWS or similar cloud environments like Digital Ocean
• Have built at least one Android app (native Kotlin or cross-platform like React Native)
• Have experience—or a strong interest—in building AI/ML features or working with data pipelines
• Have curiosity about or experience with crypto, blockchain, or Web3
• Are passionate about mobility, climate tech, fintech, or emerging markets
• Want to work on a tight-knit team where your code goes into production and onto real roads every week

Why Our Client?

• Mission-driven: Help thousands of riders increase earnings and reduce emissions
• Real-world scale: Our bikes are live on the streets of Kenya today—your work matters
• Tech-first: We’re building AI, payments, IoT, and crypto all in one stack
• Flexible & agile: Small team, big ambition, remote-friendly
• Ownership mindset: Help shape the architecture, roadmap, and culture as we grow

Application & Selection Process

This role will follow a rigorous multi-stage process assessment process, including stakeholder panel interviews, and technical case presentation.

The Salary for this position is Kshs 140,000 gross.

How to Apply:

To express interest or refer a suitable candidate, please apply via our website www.dorbe-leit.co.ke.

We look forward to welcoming you to our team!

Only qualified candidates will be contacted.

Be part of the team rewriting what mobility means for Africa. Our client is not just building bikes—they’re building opportunity. The electric motorcycles and digital tools help thousands of riders earn more while reducing emissions across cities. Join them in building the systems that will power the next generation of African innovation.

About Our Client

They’re not just building electric motorcycles—they’re redefining how people and goods move across East Africa. Their mission is to create affordable, intelligent, and climate-friendly mobility solutions for the boda boda and delivery markets.

With a growing fleet of electric motorcycles on the road, they’re building a tech platform that supports battery swaps, mobile money payments (M-PESA), fleet analytics, and real-time operations. Now they’re adding the next layer—AI-powered ride-sharing, predictive maintenance, and crypto integrations—to unlock entirely new economic models for riders and operators.

This is where you come in.