Senior Software Engineer - F/H

About the Team As we dive into 2026, we're growing our Bank & Brokerage Linking team. This team builds and maintains the connections that bring external financial data into Wealthsimple. These links power Transfers, Net Worth, Switch-your-Bank, and other core Wealthsimple experiences.
We’re looking for developers who enjoy the challenges of large-scale data acquisition. Developers that look forward to Open Banking in Canada. The work includes scraping, API integrations, resilient pipeline design, and the automation of these systems so we enhance reliability, and move faster with each new institution.

In this role, you'll have the opportunity to:
Build and maintain connections to banks and brokerages in Canada through scraping, custom flows, and direct APIs.
Develop tools that make data acquisition more reliable and easier to scale.
Use AI-assisted systems to reduce manual scraping work and help the team react faster to interface changes.
Design systems that recover quickly when institutions change their login flows or layouts.
Work with product, security, infrastructure, and SRE teams to deliver accurate balances, holdings, and transactions to clients.
Improve our internal automation so adding and repairing institutions becomes faster over time.
Our technologies:
Node.js and MongoDB services for scraping and acquisition
Headless browsers, proxy systems, and session-management tools
Ruby, Java/Kotlin, and Python across the broader platform
AWS Infra
Strong encryption and security practices for sensitive data
Early AI-assisted automation that helps generate, maintain, and repair extraction logic
What you bring:
Experience with data acquisition or financial connectivity platforms (e.g., Plaid-style APIs, Flinks-style screen scraping, SnapTrade-style brokerage linking).
Strong Node.js skills, including asynchronous programming.
Experience building or maintaining scraping systems using headless browsers.
Comfort working in environments where third-party interfaces change often.
Understanding of authentication flows, MFA challenges, cookies, sessions, and rate limits.
Experience parsing complex financial data such as balances, transactions, holdings, and corporate-action adjustments.
Interest in building automation that reduces manual scraping and repair work.
Clear, steady communication with technical and non-technical teams.
Not afraid of support work investigating and debugging broken integrations
Comfort with on-call duties for critical data pipelines.
Nice-to-have's:
Experience designing AI-assisted extraction tools or automated repair systems
Experience working on financial data models, reconciliation, or ledger-like systems
Experience building systems that operate at scale with high variability
Familiarity with institution-level onboarding and connectivity testing