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Staff Software Engineer Full-Stack, Solution Architecture

Blazesoft

Job Location:

Bon Accord - Canada

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 26 September 2026 (Yesterday)

Application Deadline: 24 December 2026

Vacancies: 1 Vacancy

Job Summary

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 / 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).
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.

Must-haves delivery & ownership

Proven track record of delivering robust solutions within tight fixed timeframes quality and speed together not one at the expense of the other.
Handles competing priorities across multiple workstreams without dropping commitments.
End-to-end ownership of deliverables from an ambiguous problem statement through to production.
A can-do operator who embraces uncertainty and figures things out as they go self-sufficient decisive with incomplete information and escalates judiciously rather than by default.

Benefits

Exposure to cutting-edge AI and automation technology that is actively transforming how marketing and operations are run at scale
Genuinely interesting projects with modern tooling and the freedom to bring your own ideas to the table
A collaborative high-performance culture where ambition accountability and innovation are valued and rewarded
Clear paths for development progression and advancement as the business scales
A competitive salary plus discretionary bonus
Comprehensive health benefits including extended healthcare dental and vision coverage.
On-site leisure facilities to switch off and recharge during the day.
Fantastic company events
On-site leisure facilities and on-site parking