100% onsite position in Burnaby.
Key Responsibilities
1. Software Design Defect Analysis & Resolution
- Identify architectural anti-patterns in existing codebases and perform root-cause analysis
- Trace root causes of hard-to-reproduce defects such as performance degradation, memory leaks, and concurrency bugs (race conditions, deadlocks)
- Quantify technical debt in legacy systems and build a risk-prioritized improvement roadmap
- Propose actionable redesign solutions — including backward-compatibility and migration strategy — rather than purely theoretical proposal
2. Design & Management of Software Stability Assurance System
- Develop in-house static-analysis diagnostic rules and integrate them into the CI pipeline
- Design tiered severity quality gates and enforce them in the build process
- Design suppression/waiver governance policy — format validation, deadline management, and automatic severity escalation upon deadline expiration
- Establish system-level quality standards for memory safety, exception-handling consistency, and resource-disposal pattern
- Establish post-mortem processes based on log/dump analysis following incident
3. Technical Problem Analysis, Design & Management
- Break down cross-team technical challenges, define design direction, and manage assigned engineers' progress
- Operate code/design review processes and give final approval on technical decision
- Maintain technical documentation systems such as Architecture Decision Records (ADRs)
- Report technical risks and progress status to executives and other department
Required Qualification
Education
- Bachelor's degree (BS) or higher in Computer Science, Software Engineering, or a related field - require
- Master's degree (MS), Ph.D. — preferred
Experience
- 15+ years of hands-on software development experience, including 5+ years in an architecture/technical-lead role
- 3+ years managing an engineering team (team size of 5 or more
- Experience leading technical evaluation
Programming Languages & Technology Stack
- C#: Expert-level with .NET (Framework/Core/5+), asynchronous programming (async/await, Task), LINQ, and memory management (including GC tuning
- C++: Hands-on experience with modern C++ (11 and later), RAII, smart pointers, and template metaprogramming
- Interoperability experience between the two languages (P/Invoke, C++/CLI, etc.) — preferred
System-Level Understanding
- File I/O: File-system structure, buffering/caching strategies, performance characteristics of large-file processing, file locking and concurrent-access control
- Database (covering RDB / NoSQL / File-based DB): Understanding of internal behavior, consistency models, and integration with query engine
- OS: Process/thread models, memory management, kernel/user-mode transitions, and platform differences between Windows and Linux
Quality & Design Competence
- Experience developing or customizing static-analysis tool
- Deep understanding and practical application of design and architecture patterns (Layered, Hexagonal, Event-Driven, etc.)
- Experience designing CI/CD pipelines and building quality gate
- Experience automating test design/structuring — distinct from test-execution automation — including identifying test targets, generating test scaffolding, and managing coverage
- Experience identifying technical debt through code review and formulating refactoring strategy
Communication
- Business-level English (capable of documentation, video conference, and technical discussion
- Ability to explain technical content to non-technical stakeholder
Preferred Qualification
- Domain experience in industrial automation, Manufacturing Execution Systems (MES), semiconductor/electronics equipment, or robotic
- Experience leading gradual migration/modernization projects for large-scale legacy system
- Experience using and driving team adoption of AI coding assistants (Claude Code, GitHub Copilot, etc.)
- Contributions to open-source static-analysis tools, or experience distributing internally developed tooling
- Experience working with multinational team
- Experience designing large-scale data pipelines (ETL/ELT, hybrid batch + streaming)