Blazesoft
Staff Software Engineer - Full-Stack, Solution Architecture
- Compensation
- Not disclosed
- Location
- Concord, Canada
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Full time
- Experience
- Not specified
- Category
- Fullstack
- Posted
Skills
Must have
- 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 E
- Architecture at scale. Proven design and operation of highly-available, high-throughput systems.
- Data. Hands-on with MongoDB, Redis (sessions, caching, sorted-set/leaderboard 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 case
- 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.
Full description
**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.
**About the role
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.
What you will do
- 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.
Requirements
**Must-haves — technical
- 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 at scale. Proven design and operation of highly-available, high-throughput systems.
- Data. Hands-on with MongoDB, Redis (sessions, caching, sorted-set/leaderboard 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).