Senior Software Architect

This is a hybrid strategic and hands-on role. You'll set technical direction and evaluate new technologies while also doing code reviews, proof-of-concepts, and debugging production issues. You'll report directly to the Senior Director of Engineering and work closely with product, security, and engineering leadership across our division.

The right person has built large-scale systems in production, has experience integrating AI services into real-world applications, and knows when to advocate for doing things right versus shipping something that works. You should be comfortable both at a whiteboard and in an IDE.

This position is based in Vancouver, BC, and the candidate must reside in the Greater Vancouver area, as you will be required to go into the office on a hybrid work schedule. Join a close-knit community where you can explore your curiosities, shape your career, and maximize your impact.

What You'll Do:

Define technical direction

Own the architectural roadmap for our VMS platform as we integrate AI capabilities

Translate business requirements into scalable system designs

Evaluate technical trade-offs and long-term risks with product, security, and engineering leadership

Build and maintain systems

Design and implement solutions for large-scale codebases across backend and client

Own non-functional requirements: scalability, high availability, low-latency video delivery

Establish observability frameworks (metrics, logs, distributed tracing) to turn telemetry into actionable data

Lead and mentor

Provide technical guidance and mentorship to engineers across the division

Drive engineering standards and quality through code reviews and architectural decisions

Build collaborative relationships with developers and technical leadership

Requirements:

Bachelor's degree in Computer Science or equivalent experience

Extensive experience building distributed systems in C++ or C#

Experience architecting modern client applications (React, TypeScript, or similar frameworks)

Track record of shipping large-scale systems to production

Experience integrating AI services or APIs into production applications

Strong understanding of microservices, real-time data streaming, and database design

Excellent written and verbal communication skills

Nice to have:

Experience with DevOps practices, CI/CD pipelines, and test automation

Familiarity with Postgres or other relational databases

Experience with modern languages like Rust or .NET frameworks

Background in video streaming, media processing, or security/surveillance systems

Target Base Salary Range: 200,000 - 250,000 CAD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

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