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Senior Engineering Manager, Media Platform

solink

Ottawa Office · manager
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Ottawa Office
Location
Hybrid
Work arrangement
Manager
Seniority
solink
Employer
Ai Engineer jobs
Category

Senior Engineering Manager, Media Platform Level: M3 | Proficient Location: Ottawa, ON | Hybrid Reports To: Martin Soukup, CTO 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 36,000 locations across 60+ 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 Senior Engineering Manager to build and lead our Media Platform team. This team owns the services that support media ingestion, processing, storage, retrieval, and playback across Solink’s platform. You’ll combine technical leadership with people management, setting the direction for a high-volume distributed platform while building a strong, collaborative engineering team.

You’ll work closely with Product, Architecture, and other Engineering teams to deliver scalable, reliable, and cost-effective services used across our products. What You’ll Do Set the technical strategy and roadmap for the Media Platform. Lead the design and evolution of high-volume, event-driven services using AWS technologies such as SQS, EKS, Redis, CloudFront, S3, and Lambda. Guide architectural decisions related to service boundaries, data models, APIs, and integration contracts.

Oversee the modernization of existing services while maintaining platform stability and supporting ongoing product development. Establish strong practices for observability, testing, deployment, performance, reliability, and incident response. Ensure services are instrumented with meaningful logs, metrics, and traces using OpenTelemetry concepts. Guide cloud resource optimization across networking, storage, and processing to balance performance, reliability, and cost; managing tradeoffs between edge and cloud infrastructure.

Lead the response to complex production issues affecting multiple services or teams. Partner with stakeholders to translate requirements into practical delivery plans. Hire, coach, and develop engineers and technical leads, providing clear feedback and growth opportunities. Improve team tooling, documentation, runbooks, and development processes. Support the rapid adoption of AI-assisted engineering workflows to improve quality and productivity.

What You Bring Must-Have: At least three years of experience managing technical teams, with a strong interest in coaching and developing engineers. At least five years of experience working with video in large scale production pipelines with both cloud and edge/endpoint software including WebRTC, HLS, RTSP, FFmpeg, and gstreamer. At least five years of software engineering experience, including backend/infrastructure and embedded/IoT roles.

Hands-on experience navigating the ever-changing landscape of tooling for AIDLC and how best to enable incredible people with these tools. Experience owning production services end-to-end in high-volume, low-latency environments. Hands-on AWS experience, including services such as SQS, EKS, Redis, CloudFront, S3, or Lambda. Strong understanding of distributed systems, including asynchronous processing, eventual consistency, idempotency, and stateless scaling.

Strong knowledge of observability practices across logs, metrics, and traces, includi

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