Senior Software Developer (Canada, EST, Remote)
Key Skills for This Role
Full Job Posting
⚠️ Recruitment Fraud Notice
We’ve recently become aware of individuals impersonating MindBridge team members and contacting candidates about fraudulent job opportunities. Please note that legitimate recruitment communications from MindBridge will always come from an @mindbridge.ai email address. MindBridge will never ask candidates to send money, make purchases, provide banking credentials, or share sensitive personal information through unofficial channels as part of our recruitment process. Please be cautious of unsolicited outreach or communications from other domains. If you are ever unsure whether a job posting, recruiter, or message is legitimately from MindBridge, please contact us through our official channels so we can verify it for you.
Requirements
- Experience in fintech, audit, accounting, risk, compliance, or other regulated/high-trust enterprise environments
- Proficiency with Java/Spring Boot, Python, or comparable backend/data engineering frameworks
- Experience with Azure or Microsoft data-platform ecosystems, including Azure Data Factory, Microsoft Fabric, or Power BI integrations
- Experience with Databricks, Snowflake, lakehouse architectures, Apache Iceberg, Delta Lake, or similar analytical storage and processing patterns
- Experience building systems that support AI/ML workloads, LLM-assisted workflows, RAG systems, or agent applications where explainability, auditability, and governance matter
- Experience with Infrastructure as Code, Kubernetes, observability platforms, SRE practices, and incident management
- Familiarity with frontend architecture concerns such as React, design systems, and shared product capabilities
- Experience designing customer-facing APIs, SDKs, developer tooling, or enterprise integration platforms
- Fulfill requirements necessary to obtain and clear a full background check
About Mindbridge
Canadian AI financial risk intelligence company helping finance, audit, and accounting professionals detect errors, fraud, and anomalies.
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