Staff Software Engineer - Full-Stack, Solution Architecture

BLAZESOFT; Vaughan; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

AI/automation tech

Modern tooling projects

Collaborative culture

Career progression

Competitive salary + bonus

Health benefits

On-site leisure

Company events

Parking

Job summary

Blazesoft in Vaughan, Ontario is seeking a senior software engineer to own product features end-to-end on an AI-centric platform. You will design, build, verify against acceptance criteria, and ship production-ready features across the full stack.

Ideal candidates have senior-level experience with .NET/C#, Next.js/React, and scalable systems, plus proficiency with Docker, Kubernetes, and cloud services. This is an in-office role offering competitive compensation and opportunities to shape

Qualifications

• Must have full-stack production-grade experience: .NET/C# REST APIs and Next.js/React front-ends with SSR and real-time streaming.
• Design and operate highly available, high-throughput systems.
• Hands-on with MongoDB, Redis, PostgreSQL; select stores by workload.
• Experience with Kafka, event-driven architectures, and real-time aggregations.
• Experience integrating 3rd-party/B2B APIs on a stable platform.
• API security expertise: OAuth, HMAC, idempotency, audit logging.
• Experience using AI coding agents to accelerate delivery and automated verification.
• Hands-on production monitoring with Sentry; observability and CI/CD integrated.
• Docker and Kubernetes for deploying containerized workloads.

Responsibilities

• 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.
• Use AI coding agents and automated verification to speed delivery within quality gates.
• Set technical patterns and unblock multi-workstream development.

Skills

Full-stack development

C# REST APIs

React/Next.js

Server-Side Rendering

MongoDB

Redis

PostgreSQL

Kafka

OAuth / Security

AI-assisted delivery

Sentry monitoring

Grafana / Loki

Docker

Kubernetes

Azure

CDN edge platforms

Tools

Git

CI/CD tools

Sentry

Grafana

Cloud tooling

Job 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).
• 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