Wealthsimple

Senior Software Developer, Book of Record (Leverage)

Remote (Canada) · Senior

Sponsorship not specifiedDetected 8 days ago

KotlinBackend DevelopmentCode ReviewGraphQLRESTKafkaAccessibility

About the role

We're growing the Leverage team and looking for a Senior Software Developer to take real ownership of the services at the core of margin and lending.
It's backend-heavy, consequential work in a domain where the rules are real and the edge cases are plentiful.
In this role, you'll have the opportunity to:

you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
You'll join a small, high-trust group of senior engineers and own meaningful scope from early on - designing and building the backend systems that track balances and calculate buying power and collateral.
You'll partner closely with Product, Design, and neighbouring engineering teams to turn complex financial logic into experiences that feel simple to the people relying on them.
Design, build, and operate the backend services that power balances, margin, buying power, collateral, and lending - the systems the rest of Wealthsimple trusts to be correct.
Own meaningful scope end-to-end, from technical design through to running your work reliably in production.

We work primarily in Kotlin, with Kafka and GraphQL in the mix - deep experience in a comparable stack matters more than an exact match, and we'll help you ramp on ours.
Several years (5+) of professional software engineering experience, with a track record of building and operating critical production systems that people or businesses depend on.
Strong backend engineering skills and sound judgment about system design, reliability, and trade-offs.
Experience building services that are low-latency and highly available
You take production ownership seriously and stay calm and methodical when things go wrong.
Strong software quality habits: you write well-tested, maintainable and observable code. You make the codebase and the people around you better through your reviews.
Clear, steady communication. You work well with Product, Design, and other engineering teams, share context early, and ask questions before you're stuck rather than disappearing down a hole.
Curiosity about the "why" behind the systems - not just the code, but the financial reality it represents and the clients on the other side of it.
Enthusiasm for AI-assisted development, and interest in helping shape what excellent, rigorous AI-assisted engineering looks like on our team.

Experience in fintech, banking, trading, or another regulated, high-stakes domain - ideally at a fast-moving, high-growth company.
Familiarity with ledgers, reconciliation, or financial-correctness problems.
Experience with event-driven architecture and stream processing (Kafka, Flink, or similar).
Familiarity with Apollo Federation or Kubernetes.
Exposure to margin, options, futures, or lending products.
You're comfortable with ambiguity and do your best work in a domain where the problems are consequential and rarely perfectly clean.
You're detail-oriented without losing the bigger picture - you care deeply about correctness, and about the experience for the client on the other side of it.
You're collaborative and generous by default: you share what you know, invest in the people around you, and help the whole team get better.

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year

You're curious and always learning - open to new ideas, new perspectives, and new ways of working.

The Leverage team lives inside Book of Record (BOR) - the ledger of truth for every dollar that moves through Wealthsimple.
The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.

This listing is sourced directly from Wealthsimple's careers page and normalized into a canonical job model.