Act as the technical lead for large parts of the scanner platform: system architecture, codebase structure, and long-term maintainability.
Own core runtime foundations: distributed control, state management, fault handling, and reliability.
Drive engineering rigor: testability, code quality, review standards, performance regression prevention, and release processes.
Build robust observability: logs, metrics, traces, and replayable diagnostics (with privacy constraints).
Collaborate with hardware and recon/ML teams to define interfaces, data contracts, timing/synchronization, and failure modes.
Lead complex refactors (e.g., message passing / RPC boundaries, modularization, concurrency model) without halting forward progress.
Deep software architecture experience for real-world systems: robotics, instrumentation, medical devices, or other complex distributed products.
Strong Python and concurrency background (asyncio, multiprocessing, profiling, performance engineering).
Track record of shipping systems that are observable, debuggable, and resilient.
Strong technical leadership: clarity, pragmatic trade-offs, and mentoring.
Building but rock-solid systems: clear interfaces (gRPC/protobuf or equivalent), strong state modeling, and failure handling.
High-leverage engineering habits on a lean team: good tests, CI, reproducible dev environments, and fast code review.
Practical performance + concurrency work in Python (asyncio, profiling, multiprocessing) and comfort debugging distributed behavior.
Security-minded device software: safe defaults, encrypted data paths, and disciplined handling of PII/PHI.
Operational thinking: remote updates/management, excellent logging, and diagnostics that make real hardware debuggable.
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
