Senior Full Stack Developer

Senior Full-Stack Engineer – Data Team

Location: Canada | Remote
Department: Engineering
Reports To: Sean Yang, Director of Engineering

Type: Permanent | Full-Time

Vacancy Status: This is an active role and we are currently hiring for this position.

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!

As a Senior Full-Stack Engineer on the Data Team
, you will play a key role in building and evolving the systems that power Solink’s data applications—from ingestion and real-time processing to customer-facing experiences and internal tooling.

This role is ideal for a senior engineer who is comfortable working across the stack, brings strong backend and data-centric expertise, and can influence technical direction beyond individual tickets. You will help shape architecture, mentor teammates, and ensure our data systems scale reliably as Solink grows.

• Design, build, and maintain full-stack features across data applications, with a strong emphasis on backend and data infrastructure (roughly 60–70% backend).
• Develop and evolve data pipelines, event-driven services, and APIs that support real-time and analytical use cases.
• Contribute to system design decisions, balancing scalability, performance, reliability, and developer experience.
• Collaborate closely with Product, Data, and R&D partners to translate requirements into pragmatic technical solutions.
• Mentor and influence other engineers through code reviews, design discussions, and informal knowledge sharing.
• Continuously improve the team’s tooling, processes, and architecture, including thoughtful adoption of AI-assisted workflows where appropriate.

Must-Have Qualifications

• Strong experience as a senior-level full-stack or backend-leaning engineer, with the ability to contribute across frontend, backend, and infrastructure layers.
• Familiarity with React or similar frontend frameworks.
• Deep proficiency with JavaScript/Type Script and modern backend development (Node.js or similar).
• Experience designing and operating data-heavy or event-driven systems (e.g., data pipelines, integrations, real-time services).
• Hands-on experience with cloud platforms (AWS preferred) and modern deployment patterns (serverless, infrastructure as code, or equivalent).
• Strong problem-solving skills, ownership mindset, and ability to influence technical decisions beyond your own code.
• Experience building data visualization, dashboards, or reporting applications
  , with a strong focus on usability, performance, and clarity of insights.
• Strong understanding of analytics and reporting concepts (metrics, dimensions, aggregations, filtering, drill-downs).
• Ability to collaborate closely with Product and Data partners to translate business questions into effective visualizations
  .

Nice-to-Have

• Experience with data warehousing or analytics platforms (e.g., Snowflake) and streaming technologies.
• Exposure to scaling systems in high-growth or “next-stage” environments.
• Interest in applying AI/ML or AI-assisted development techniques to improve product capabilities and team productivity.
• Experience integrating or embedding BI / analytics tools into customer-facing or internal applications.
• Familiarity or hands-on experience with Thought Spot is a strong plus.