Technical Manager II
Location: Ottawa, ON | Hybrid
Department: R&D Infrastructure
Reports To: Sean O'Hagan, Director of Engineering
Type: Permanent | Full-Time
At Solink, our mission is 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 RoleWe're looking for an Engineering Manager to lead the technical teams within our Device Management group. This team is responsible for building performant, scalable, and user‑friendly solutions at the heart of Solink's platform. This team owns the edge platform software and cloud systems that interact with hundreds of thousands of IoT devices in the field, spanning APIs built in Rust, interfaces built in React, and cloud‑native infrastructure that scales globally.
This is a leadership role for someone who can balance hands‑on technical direction with people management and people leader development. You'll set technical strategy, translate business requirements into actionable plans, and build a high‑performing team while partnering with the Product Management team and the Architecture team to guide major decisions, unblock your engineers, and hold a high technical bar. You'll partner closely with Product, Design, and other Engineering teams to ship features and scale them across a rapidly growing customer base.
Hiring is a major focus for this role given our rate of growth and is a key responsibility.
Technical Leadership & Strategy
- Lead the technical strategy and execution for the Device Management team, spanning IoT device platform, configuration, monitoring, and deployment tools.
- Guide the design, delivery, and quality of embedded components and cloud services using Rust, Type Script, and Node.js in a k8s/serverless AWS/GCP environment (Lambda, DynamoDB, SQS, Kinesis).
- Translate business requirements into technical strategies, planning, sizing, and estimating solutions in partnership with product and cross‑functional R&D teams.
- Drive planning, design sessions, and code reviews, and hold the team to strong engineering practices around system architecture, clean code, observability, and performance optimization.
- Support monitoring, alerting, and production troubleshooting to ensure system reliability, and operation.
- Use agile methodologies (Jira, Kanban) to drive projects from concept to production, balancing research, production support, long term improvements, and feature development.
- Lead your team in designing workflows that connect cleanly across teams, tools, and operating layers, reducing fragmentation with cross‑functional partners.
- Coach your team to design solutions that prevent recurring issues rather than just fixing them after the fact and requiring manual intervention.
- Actively contribute to cross‑functional system improvements across the department.
- Partner on cross‑functional projects, own parts of or entire initiatives, and provide clear, timely updates on key milestones.
- Develop repeatable AI‑native workflows and support their adoption within your team and with cross‑functional partners, including the impact of these levers in performance feedback and assessment.
- Evaluate which AI tools are appropriate for different use cases and understand their limitations.
- Continuously integrate AI into shared processes where it…
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