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Senior Software Engineer in Test (SDET)

Solink
CompanySolink
CategoryEngineering
LocationOttawa
RemoteHybrid
EmploymentNot stated
LevelSenior
SalaryUSD 115k
Posted15 Jul 2026
Last verified3 Aug 2026
SourceEmployer career page (ashby)
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Description
SENIOR SOFTWARE ENGINEER IN TEST (SDET) Location: Ottawa, ON | Hybrid Department: R&D- Infrastructure Reports To: Sean O'Hagan, [Director, Engineering] http://linkedin.com/in/sean-o-hagan-02b010152 Type: Permanent | Full-Time ABOUT SOLINK At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational insights. Our cloud-based platform integrates seamlessly with your existing cameras and systems, turning them into intelligent sensors that detect and interpret key moments. This empowers teams to make data-driven decisions, enhance security, and improve operational efficiency. Trusted by over 30,000 locations across 32+ countries - including brands like McDonald’s and JYSK - Solink delivers clarity when it counts. Our solutions help businesses reduce shrink, optimize performance, and respond proactively to potential threats. We're growing rapidly, earning industry recognition, and scaling with purpose. We’ve been recognized by Deloitte’s Fast 50™ and Fast 500™, Business Intelligence Group, and as one of Ottawa’s Best Places to Work. And we’re just getting started! THE ROLE We're looking for a Software Development Engineer in Test (SDET) to join our Device Management team. This is an engineering role first: you'll design and build test automation frameworks, tooling, and infrastructure that let the whole team ship confidently at speed. You'll write real code, against our Rust/Node.js APIs, our React front end, and our AWS serverless infrastructure, to make the system testable, simulate device behavior at scale, and catch problems before they reach customers. You'll work as a peer to developers, contributing to architecture discussions, code reviews, and design decisions, with quality and testability as your lens. You'll have significant latitude to shape how the team approaches testing, from framework design to CI/CD integration to how we simulate thousands of IoT devices and video streams in a repeatable, automated way. WHAT YOU’LL DO Automation Framework & Tooling Development - Design, build, and maintain automated test frameworks and libraries spanning REST APIs, UI (React), security, and end-to-end/integration layers. - Write production-quality code for test harnesses, device simulators, performance tools and mocks that emulate IoT device behavior and video streams at scale. - Build and maintain tooling that improves testability across the stack — including for distributed, event-driven components (Lambda, DynamoDB, SQS, Kinesis). - Integrate automated test suites into CI/CD pipelines, optimizing for fast, reliable feedback on every build and deployment. - Evaluate and introduce new tools, frameworks, and approaches to keep test infrastructure scalable as the platform and team grow. Engineering Collaboration & Architecture - Participate as a technical peer in design sessions, RFCs, and architecture discussions — advocating for testability, observability, and reliability from the start. - Review code and pull requests with an eye toward correctness, edge cases, performance, and long-term maintainability. - Work closely with backend and frontend engineers to understand system design and build automation that reflects real production behavior. - Contribute to system reliability by supporting monitoring, alerting, and troubleshooting efforts, including issues involving device connectivity. Test Strategy & Coverage - Design test plans and strategies for new and existing features, deciding where automation adds the most value versus targeted manual/exploratory testing. - Drive test coverage for IoT device configuration, monitoring, deployment, and connectivity workflows, as well as video playback, recording, and streaming features. - Validate distributed cloud systems for correctness, performance, and resilience under realistic and
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