CanadaSenior Full-Stack Engineer (Media Team)
1 мес. назад
120k–145k USD / yearCanadaWorldwideSeniorHybrid
cloudmedia processingbackendfrontend
Senior Full-Stack Engineer responsible for cloud services powering media pipeline processing and serving media data at scale.
Обязанности
- As a Senior Full-Stack Engineer on the Media Team, you will be responsible for the cloud services that power 's media pipeline: ingesting, processing, storing, and serving media data at scale for over 36,000 customer locations. You'll work deep in AWS-native infrastructure, building services that are cost-efficient, observable, and resilient under real-world load.
- This role is ideal for a senior backend or full-stack engineer who thinks in terms of throughput, latency, and cost per gigabyte as much as they think in code; someone who is comfortable owning a service from design through production operation, and who treats reliability and resource efficiency as first-class design constraints rather than afterthoughts.
- Design, build, and operate backend services that handle media ingestion, processing, storage, and retrieval at scale.
- Work extensively with core AWS services (SQS, S3, Lambda, and related managed services) to build event-driven, loosely coupled pipelines.
- Leverage AI tools effectively throughout the development lifecycle, from planning, design, implementation to operation, debugging and observability.
- Design and evolve media platform APIs and contracts for multiple internal, as well as external consumers with contract and end-to-end tests.
- Instrument services with meaningful observability: structured logging, metrics, and traces built on OpenTelemetry concepts, so behaviour in production is understandable regardless of the underlying vendor (Datadog, Grafana, Honeycomb, or otherwise).
- Own the full deployment lifecycle for your services: staging and production environments, gradual roll-outs, canary releases, and A/B testing of infrastructure and feature changes.
- Continuously monitor and tune and optimize cloud resource usage (networking, storage tiering, and compute/processing), balancing cost, performance, and reliability trade-offs.
- Diagnose and resolve complex, cross-service production issues, including intermittent and load-dependent failures in media pipelines.
- Partner closely with Product, QA, and cross-functional engineering teams to translate media and storage requirements into pragmatic, production-ready services.
- Contribute to architectural decisions for the media platform, including service boundaries, data models, and integration contracts with other teams.
- Mentor other engineers through code reviews, design discussions, and informal knowledge sharing.
- Continuously improve team tooling, run books, and processes, including thoughtful adoption of AI-assisted workflows where appropriate.
Требования
- Strong experience as a senior-level backend or backend-leaning full-stack engineer, with a track record of owning production services end-to-end for low-latency massive volume data.
- Hands-on cloud and AWS experience, with proficiency in core services such as SQS, EKS, Redis, and CloudFront alongside S3/Lambda and a solid grasp of designing around their operational characteristics and limits.
- Strong AI tool usage to increase quality and velocity, and a learning mindset that helps evolve development workflow as AI tooling and capabilities change.
- Observability experience, not tied to any specific vendor, but a strong conceptual understanding of OpenTelemetry (traces, metrics, logs) and how to use it to make distributed systems debuggable.
- Practical experience with cloud deployment practices: managing staging and production environments, running gradual/canary roll-outs, and conducting A/B tests on infrastructure or service changes.
- A resource-aware, optimization-oriented mindset: comfortable fine-tuning cloud networking, storage configuration, and processing pipelines to balance cost, performance, and reliability.
- Strong distributed systems fundamentals: asynchronous processing, eventual consistency, idempotency, and failure handling in multi-service pipelines.
- Experience with modern backend development, including API design and production reliability practices.
- Comfortable diagnosing complex, cross-service, and intermittent production issues independently and under pressure.
- Strong problem-solving skills, an ownership mindset, and the ability to influence technical decisions beyond your own code.
- Comfortable improving and extending legacy, brownfield services.
- Candidates must undergo a criminal records check upon hire;
- Be a Canadian Citizen (dual citizens included), or eligible to work in Canada;
- Be willing to comply with ’s own security policies and standards.
Будет плюсом
- Experience with media, video, or other high-throughput binary data pipelines and technologies (e.g. WebRTC, HLS, RTSP, ffmpeg).
- Experience with Kubernetes and cloud-native operations (observability, metrics/tracing, incident response, SLOs).
- Experience with GCP and Azure
- Experience with TypeScript and Rust
- Experience scaling systems in high-growth or "next-stage" environments.
- Interest in applying AI/ML to improve product capabilities and team productivity.
Как откликнуться
- We respect your time and value transparency. Here’s a general idea of what to expect:
- Intro call with our Talent Team
- Interview with the Hiring Manager
- Role-relevant task or case (if applicable)
- Final interviews with cross-functional team members
- Reference Checks
- Offer & onboarding 🎉
- Submit your resume and a short cover letter via our Careers Page . Let us know what excites you about this role, and how you’d help move forward.
Другое
- Location: Ottawa, ON or Toronto, ON | Hybrid Department: R&D | Video Reports To: Mojtaba Hosseini | Video Architect Type: Permanent | Full-Time Vacancy Status: This is an active, approved role and we are currently hiring for this position.
- At , 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 - 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!
- We do things the way:
- Act with URGENCY – Our customers move fast, so we do too.
- Deliver with QUALITY – We sweat the details and hold a high bar.
- Win with TEAM – No egos. Just outcomes, built together.
- Lead with TRUST – We earn it through clarity, consistency, and care.
- These aren’t just words—they shape how we hire, lead, and grow.
- We’re not just building tech - we’re building a place where great people do great work.
- Clarity and trust : Where the role allows, we support flexibility in how and where work gets done - and we’re upfront about what’s required.
- Meaningful equity : Every full-time, permanent employee has a stake in our growth.
- Comprehensive benefits : Fully paid health & dental (no waiting period) + $500 health spending account.
- Wellness support : Monthly reimbursement for fitness, wellness, or mental health programs.
- Growth through merit : Advancement is based on contribution, initiative, and the ability to raise the bar - together.
- Candid culture : Clear expectations, honest feedback, and no politics.
- Social connection : From So-learns to -o and So-lunches, we stay connected in ways that actually feel fun.