Software Developer building high - performance distributed server applications and communication protocols. Fortinet secures enterprise, service provider, and government networks worldwide.
About the role
- Senior Software Engineer building AI agents, applications, and data platforms for BCI’s private equity investment teams. Delivering full-stack solutions across Databricks and Azure.
Responsibilities
- Partner with Private Equity stakeholders to define problems, gather requirements, and shape solutions
- Design and deliver end-to-end applications, including architecture, back-end and front-end development, REST APIs, integrations, and DevOps
- Build applications hosted on Databricks Apps and Azure
- Build agentic workflows and AI agents for investment-material document intelligence, fund-administration file processing, natural-language PE data access, and Claude Skills
- Own delivery from scoping through testing, deployment, production release, and ongoing support
- Prioritize work, manage stakeholders, and communicate progress and risks regularly
- Develop data pipelines and analytical solutions with lineage, reconciliation, and validation for PE reporting, valuations, and audit review
- Identify risks, streamline operations, develop application roadmaps, and maintain technical documentation
- Share expertise and mentor engineers and co-ops through design reviews, code reviews, and pairing
- Stay current on the AI and Databricks ecosystem and introduce valuable capabilities
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field
- Minimum 6 years of related experience, including hands-on delivery of production applications
- Experience designing and building full stack applications in Python and/or JavaScript/TypeScript
- Back-end architecture and REST API design experience
- Front-end development with good UI/UX
- Advanced proficiency in SQL and Python
- Experience building agentic workflows and LLM-powered applications, including RAG
- Experience processing unstructured data using AI, including documents, emails, and PDFs
- Experience with MCP servers and tool-calling architectures
- Hands-on experience with Databricks and the Azure stack
- Daily fluency with AI-assisted development tools
- Experience with transactional databases and analytical warehouses
- ETL/ELT pipeline development, data modelling, and data architecture
- Git-based version control, CI/CD pipelines, automated testing, and infrastructure-as-code deployment
- Experience implementing SSO, OAuth 2.0, OIDC, or role-based access control
- Experience leading complex projects end-to-end with minimal direction
- Strong project planning and communication skills
- Experience mentoring other engineers, including code and design review
- Legally authorized to work in the country where the job is located
- Knowledge of Private Markets, investment management, regulated domains, Databricks Apps, Lakebase, Genie, Vector Search, graph databases, or knowledge graphs are nice to have
Benefits
- Performance-based incentive plan
- Comprehensive health and dental benefits
- Defined benefit pension plan
- Paid time off
- Relocation support within Canada
- Flexible remote work one day per week
- Recruitment process accommodations
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