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Added 10 days ago
L
Security Engineer, Infrastructure Security
LiveKit
Canada
- Full-time
Find the gaps that could lead to customer data loss or infrastructure compromise, agree a prioritized security debt backlog with engineering, and close the highest-risk items first.
Added 10 days ago
SS
DevOps III, FME Flow
Safe Software
Canada
- Full-time
You are familiar with scripting languages such as Python, Powershell and/or Bash
Added 10 days ago
T
Quality Engineer II
TD
Toronto, ON
- Full-time
· Exposure to AI-assisted engineering tools and coding agents.
Added 10 days ago
C
AI Data Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly motivated AI Data Engineer to design, develop, and deploy AI-powered applications and agentic solutions that enhance business processes and client delivery…
Added 10 days ago
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Senior Software Engineer
BCI
Victoria, BC · Vancouver, BC · CA Victoria
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 10 days ago
Senior Consultant - Capital Markets - Market Risk and Treasury
EY
Toronto, ON
Use Python and SQL to analyze data, develop practical solutions and prepare clear, client-ready findings.
Added 10 days ago
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Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 10 days ago
SE
Combustion IPTL
Siemens Energy
Montreal, QC
- Full-time
Software Tools: Experience with PLM/Teamcenter, SAP, and basic programming or data analysis (Python, Excel VBA, SQL) is a plus. Use of AI tools such as Co-Pilot to improve process,…
Added 10 days ago
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Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 10 days ago
OT
Investment Associate, Capital Markets - Quantitative Strategies & Research
Ontario Teachers' Pension Plan
Toronto, ON
- Full-time
…portfolio’s investment lifecycle. This includes but is not limited to data ingestion, portfolio construction and operations, trading and risk…
Added 10 days ago
T
AVP, AI & Innovation
TD
Toronto, ON
- Full-time
…business problems and works across business, quantitative, data, engineering, and control teams to deliver measurable…
Added 10 days ago
CE
Senior Advisor, Program Planning & Scheduling
Cenovus Energy
Calgary, AB
- Full-time
Experience with data modeling, Power Query, Power Automate, SQL, Python, or comparable data transformation and automation tools.
Added 10 days ago
SI
Senior Site Reliability Engineer
STACK IT Recruitment
Remote, Canada
- $140,000 to $180,000 CAD / year
- Remote
🔎 Senior Site Reliability Engineer wanted: take full ownership of the AWS infrastructure, CI/CD, and data systems behind an established consumer app
Added 10 days ago
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Applied Researcher 3
eBay
Toronto, ON
- Full-time
…understanding of marketplace inventory. Each problem brings different data, modeling, and system challenges, creating opportunities to explore new approaches and develop capabilities where…
Added 10 days ago
GI
Artificial Intelligence Engineer
G-FORCE IT SERVICES INC
ON · Ontario, Canada
- Full-time
Work with data preprocessing, feature engineering, and model evaluation.
Added 10 days ago
AC
DBT PySpark Developer
Avance Consulting
ON · Ontario, Canada
- Full-time
Demonstrated ability to work effectively in cross-functional, multi-stakeholder environments, collaborating with Business, Data Engineering, and Architecture teams.
Added 10 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 10 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
Design and maintain data pipelines and integrations using Azure Data Factory.
Added 10 days ago
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Senior Data Scientist
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You will research, design, and deploy machine learning and optimization models that support data-driven decisions, including personalized offers, pricing, and customer targeting. You will…
Added 10 days ago
VS
Senior Software Developer in Test (AI Portfolio)
Vena Solutions
Remote, Canada
- Full-time
- Remote
As a Senior Software Developer in Test, you will be responsible for the development, execution, and maintenance of automated tests to support the Software Test Life Cycle for Vena’s agentic…
Added 10 days ago
SI
Azure Data Engineer
Spait Infotech
Canada
- Full-time
Collaborate with Data Analysts, Data Scientists, BI Developers, and other engineering teams.
Added 10 days ago
SI
Data Engineer
Spait Infotech
Canada
- Full-time
Build data integration workflows using Python and relevant data engineering tools.
Added 10 days ago
PF
Data Analyst 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
This is a hands-on analytical role requiring strong SQL, practical Python experience, data exploration, statistical analysis, and an understanding of data modeling. The role is not…
Added 10 days ago
RG
Senior Optical Network Engineer
ROHL Global Networks Inc
Acheson, AB
- $130,000 to $155,000 CAD / year
Alberta is becoming one of Canada’s fastest-growing data center markets, and ROHL Global Networks is building the fiber that connects it. We own and operate a long-haul fiber optic network…
Added 10 days ago
TS
Full Stack Developer
Triunity Software
Ottawa, ON
- $100,000 to $110,000 CAD / year
- Full-time
Proven experience as a Full Stack Developer or similar software engineering role

BCI

Senior Software Engineer

Vancouver, BC, Canada

$106,000 to $128,000 CAD / year · Full-time

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Job details

Pay: $106,000 to $128,000 CAD / year
Job type: Full-time
Apply by: Nov 21, 2026
Experience: Minimum 6 years of related experience, including hands-on delivery of production applications
Posting language: English
Posted: Oct 22, 2026

Original job description

About Us

British Columbia Investment Management Corporation (BCI) offers an exceptional opportunity to work at a world-class organization while living in a west coast setting. 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.

This isn't a traditional IT role, and it isn't a traditional Software Engineer, Data Engineer, or Business Intelligence role either. You'll learn the business, build relationships, and partner with Private Equity SMEs to solve problems instead of taking orders. You'll build applications, automated workflows, and AI agents that change how the PE team works day to day, along with the data pipelines, models, and dashboards that sit underneath them.

The role can be based in either our Vancouver or Victoria, BC offices, we will not consider candidates only looking to work remotely.

WHO YOU WILL WORK WITH

Modern tools, pushing boundaries: We run Databricks (Unity Catalog, Apps, Lakebase, Genie, Vector Search), Azure, Power BI, and enterprise Claude across the full product suite (Claude Code, Artifacts, Cowork, Skills), already connected to our data platform through an MCP server we built and operate. We are actively replacing manual processes with agentic workflows and internal apps built with AI-assisted development
High-impact work: 75% of the organization uses our analytics; we work with smart, ambitious business users on high-ROI use cases where the results show up in real investment decisions
Embedded, not ticketed: The team sits with the PE department. You'll be in the room when problems are defined, not handed a spec afterwards
Great culture: Fast-paced with world-class expectations, but supportive and genuinely fun

THE OPPORTUNITY

Reporting to the Senior Manager, Technology Solutions (Private Equity), the Senior Software Engineer designs and delivers end-to-end, full stack solutions for the business, from production applications and AI agents through to the data pipelines and analytical models that power them, working with minimal technical direction.

You'll partner closely with Private Equity (PE) teams across PE Finance, PE Operations, Deal teams, and PE directors and executives, where data accuracy has real business and regulatory consequences. You'll own your work from the first conversation with a stakeholder to the production release and beyond.

WHAT YOU BRING

Bachelor's degree in Computer Science, Engineering, or a related field
Minimum 6 years of related experience, including hands-on delivery of production applications
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React), including back-end architecture, REST API design, and front ends with good UI/UX
Advanced proficiency in SQL and Python
Experience building agentic workflows and LLM-powered applications, including RAG, using AI to process unstructured data (documents, emails, PDFs), and working with MCP servers and tool-calling architectures
Hands-on experience with Databricks and the Azure stack
Daily fluency with AI-assisted development tools, ideally the Claude ecosystem (Claude Code, Artifacts, Cowork, Skills) or equivalents
Experience with both transactional databases (e.g. PostgreSQL, MariaDB) and analytical warehouses (e.g. Databricks SQL), and knowing when to use which
Solid data engineering foundation: ETL/ELT pipeline development, data modelling, and data architecture
Comfortable in modern engineering practice: Git-based version control, CI/CD pipelines, automated testing, and infrastructure-as-code deployment (e.g. Databricks Asset Bundles, Terraform, Azure DevOps)
Experience implementing authentication and authorization mechanisms (e.g. SSO, OAuth 2.0, OIDC, role-based access control) in enterprise applications
Demonstrated experience leading complex projects end-to-end at high pace and quality, with minimal direction required
Strong project planning and communication skills: you scope work, set expectations, surface risks early, and give stakeholders regular updates without being asked
Evidence of being a top performer, self-starter, curious and capable of learning new skills, behaviours, and tools quickly
Experience mentoring other engineers, including code and design review, and raising team standards

NICE TO HAVES

Knowledge of Private Markets (fund structures, capital calls and distributions, valuations, portfolio monitoring)
Experience working in investment management or other regulated, data-intensive domains
Experience with Databricks Apps, Lakebase, Genie, or Vector Search
Familiarity with graph databases and knowledge graphs (e.g. Neo4j) and where they fit alongside relational and analytical stores

WHAT YOU WILL DO

You'll lead, build, and maintain end-to-end solutions across the full delivery lifecycle including:

Partnering with PE stakeholders to define problems, gather requirements, and shape solutions together
Designing and delivering end-to-end applications, including tech stack selection, architecture, back-end and front-end development, REST APIs, integration with existing systems, and DevOps, hosted on Databricks Apps and Azure
Building agentic workflows and AI agents: document intelligence over investment materials, automated processing and routing of files from fund administration feeds, natural-language access to PE data through MCP, and Claude Skills that package team knowledge
Owning delivery from scoping through testing, deployment, production release, and ongoing support, including prioritization, stakeholder management, and communicating progress and risks on a regular cadence
Developing data pipelines and analytical solutions with clear lineage, reconciliation, and validation suitable for PE fund and portfolio reporting, valuations, and audit review
Proactively identifying risks, streamlining operations, developing application roadmaps, and maintaining accurate technical documentation
Sharing expertise across teams and mentoring team members and co-ops through design reviews, code reviews, and pairing, and contributing to team standards
Staying current on the AI and Databricks ecosystem and bringing new capabilities to the team where they create real value

WHERE YOU WILL WORK

This role can be based in either our Victoria or Vancouver office. Relocation support within Canada is available if needed. We are an in-person, collaborative organization with the flexibility to work remotely one day per week.

SALARY RANGE

The annualized salary range for this role is CAD $106,000 to $128,000.

Our recruitment process requires that the successful candidate agrees to undergo a criminal record search, education and designation verification; to provide a declaration of no previous or current criminal status; and to comply with our corporate Code of Ethics & Professional Conduct.

Interested in joining our team and want to learn of other career opportunities with BCI? Create a profile and sign up for job alerts at: https://bci.wd10.myworkdayjobs.com/BCI_Careers.

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More about this job

Responsibilities

Partner with Private Equity stakeholders to design, build, deploy, and support full-stack applications, AI agents, automated workflows, and data solutions. Lead delivery end to end, ensure data quality and auditability, manage stakeholder communication, and mentor engineers.

Requirements

Requires a bachelor's degree in Computer Science, Engineering, or a related field and at least six years of relevant experience delivering production applications. Candidates should have strong full-stack, Python, SQL, Databricks, Azure, AI/LLM, data engineering, and modern software delivery skills, along with project leadership, communication, and mentoring experience.

Skills

Full-Stack Software Development
Python
JavaScript
TypeScript
SQL
REST API Design
Agentic Workflows
Retrieval-Augmented Generation
Databricks
Microsoft Azure
Data Engineering
ETL/ELT Pipelines
Data Modeling
CI/CD
Authentication and Authorization

Benefits

Relocation Support Within Canada

Visa sponsorship

Not detected in the job text

Keywords

Python
JavaScript
TypeScript
FastAPI
Flask
Node.js
Next.js
React
REST APIs
Databricks
Unity Catalog
Databricks Apps
Lakebase
Genie
Vector Search
Microsoft Azure
Power BI
Claude
Model Context Protocol
Agentic Workflows
Large Language Models
Retrieval-Augmented Generation
SQL
PostgreSQL
ETL/ELT
Data Modeling
CI/CD
Terraform
OAuth 2.0
Private Equity

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