Senior Manager, Software Engineering

With $313.7 billion of gross assets under management, as of March 31, 2026, British Columbia Investment Management Corporation (BCI) is the provider of investment management services for British Columbia’s public sector and one of the largest asset managers in Canada. BCI seeks investment opportunities around the world and across a range of asset classes that convert savings into productive capital. Our investment returns play a significant role in helping our institutional clients build a financially secure future for their beneficiaries.

Headquartered in Victoria, British Columbia, and with teams spanning Vancouver, New York, London, and Mumbai. BCI integrates environmental, social, and governance (ESG) factors into all investment decisions to meet clients' risk and return requirements. Our people shape employee-focused initiatives, creating a strong culture. To learn more about our culture and values, visit our BCI Values in Action page.

POSTING CLOSE DATE:
October 15, 2026

You will lead a small, senior team extending the software and data platforms that BCI's Investment Operations department runs on, and you will be expected to stay in the codebase and the architecture yourself.

Reporting to Vice President, Investment Technology within the Technology department, you will lead a team of up to three software engineers. Your closest partner is the Senior Principal, Financial Engineering; much of the team's work is shaped and directed in concert with them, and your credibility rests on being someone they treat as a technical peer. Investment Operations are your clients, and you are Technology's single point of contact for them.

• Bachelor's degree in STEM (science, technology, engineering, mathematics)
• 8+ years in software engineering, including leading engineers while remaining an active technical contributor
• A proven history of personally writing and shipping production-grade code and analytical tooling, not solely in an oversight capacity
• Strong hands-on Python (R an asset); solid SQL, non-relational databases (for example MongoDB), and version control (Git / Bitbucket)
• Practical experience with CI/CD and release engineering, containerisation (Docker), and cloud platforms (AWS or equivalent)
• Experience with modern data platforms and with AI / Gen AI tooling; deploying AI agents or LLM-enabled tooling in an operational setting is preferred
• HELPFUL / PREFERRED Posit Connect, Jupyter Notebooks, MongoDB Atlas, or similar analytical publishing platforms
• Knowledge of the investment management industry or financial services Enterprise integration patterns, microservices, or iPaaS platforms (for example Mule Soft)
• Advanced degree (MSc, PhD) or designation (CFA, FRM, CQF, MBA)

• Hands-On Engineering & Delivery Writes production-quality code and participates in peer review, contributing directly to analytical platforms, data pipelines, and business-facing applications
• Prototypes emerging technology, including AI agent frameworks and LLM-enabled tooling, and champions clean code, automated testing, and documentation by example
• Partnership & Client Relationships Works in close partnership with the Financial Engineering team, taking direction on priorities while bringing forward engineering options and enterprise alignment
• Plans jointly with the branch on where its models and applications should be extended next, and keeps a workable line between what the branch owns and what this team owns
• Proactively proposes solutions to business problems, tracks delivery KPIs, and allocates a small team's capacity where it produces the most value
• Platform, Architecture & Risk Provides infrastructure and platform engineering support, including microservices deployment, data integration pipelines, and API/framework provisioning
• Coordinates infrastructure support and enterprise systems alignment with the wider Technology department
• Drives modernization, rationalization, automation, and self-service to remove friction; shapes vendor decisions and manages the allocated budget
• Maintains operational and data quality frameworks, and identifies, mitigates, and escalates technical and deployment risk with appropriate urgency
• Team Leadership Sets clear objectives, coaches performance, and manages workload across concurrent projects without compromising quality
• Builds capability through skill-gap analysis, stretch assignments, and individual development plans, developing domain fluency alongside…