Senior Software Developer, Bank & Brokerage Linking

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