Software Engineer - Full-Stack, Solution Architecture

About Blazesoft

Join our dynamic and innovative gaming company, passionate about creating immersive and cutting-edge gaming experiences. We pride ourselves on a culture of creativity, collaboration, and a commitment to pushing the boundaries of gaming. If you are a highly motivated and skilled specialist passionate about the gaming industry, we want you to join our team.

We are building an AI-centric engineering platform where brands operate as self-reliant, B2B-style customers. You will own product features end-to-end across the full stack - leveraging AI agents to multiply delivery throughput - while architecting robust, highly-available systems on a stable, brand-agnostic platform.

This is a full-time IN-OFFICE position in Vaughan.

• Own delivery of product features end-to-end: design, build, verify against acceptance criteria, and ship to production.
• Build and operate 3rd-party and B2B integrations on the platform, delivering brand- and customer-specific features on top of a shared core.
• Use AI coding agents and automated verification to accelerate delivery, working within engineering quality gates and independent review.
• Set technical patterns and unblock yourself and others across a fast-moving, multi-workstream environment.

• Full-stack, production-grade. Senior/staff experience building software end-to-end: .NET / C# REST APIs and Next.js / React front-ends with server-side rendering and real-time streaming (Server-Sent Events).
• Architecture ven design and operation of highly-available, high-throughput systems.
• Data. Hands-on with MongoDB, Redis (sessions, caching, sorted-set/leader board patterns) and PostgreSQL; chooses the right store per workload.
• Event-driven systems. Building producers/consumers on an event hub / Apache Kafka; event-schema design and real-time aggregations.
• 3rd-party and B2B integrations. Designing and delivering integrations against external and game-provider APIs, and building brand-/customer-specific capabilities on a stable, brand-agnostic platform.
• API security. OAuth-based auth, request signing (HMAC), idempotency, replay protection, and audit logging.
• AI-assisted delivery. Demonstrated use of AI coding agents/tooling to multiply throughput, and fluency working within automated verification (testing against acceptance criteria, regression, edge cases).
• Hands-on production monitoring. Operating production monitoring and issue triage (Sentry or equivalent); treats observability and CI/CD as part of "done.".
• Experience with containerization using Docker, including writing Dockerfiles, building images, and working with a container registry.
• Experience deploying and operating containerized workloads on Kubernetes, including deployments, services, config and secrets, health probes, and resource limits.
• Experience with networking fundamentals - DNS, TLS, HTTP, load balancing, and reverse proxies - and troubleshooting requests end-to-end across distributed systems.
• Experience with a public cloud platform (Azure preferred), including compute, identity and access management, and CI/CD pipelines.
• Experience owning features end-to-end, from ambiguous requirements through deployment and production support.
• Experience with a CDN or edge platform (Cloudflare preferred) and diagnosing edge-versus-origin failures.
• Experience with observability tooling (Grafana, Loki, Sentry) and production incident analysis.
• Demonstrated ability to learn unfamiliar technologies quickly, with strong ownership and attention to detail.

• Proven track record of delivering robust solutions within tight, fixed time frames - quality and speed together, not one at the expense of the other.
• Handles competing priorities…