Staff Software Engineer - Full-Stack, Solution Architecture

BLAZESOFT

Vaughan

On-site

CAD 110,000 - 160,000

Full time

32 hours ago
Be an early applicant
Application generator

Get a reply from this employer — a resume and cover letter tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

On-site facilities
Parking on-site
Company events
Health benefits

Job summary

Blazesoft in Vaughan, Canada, is seeking a senior software engineer to own product features end-to-end on a AI-centric platform. You will design, build, verify against acceptance criteria, and ship to production on a full-stack stack (.NET/C#, Next.js/React) with real-time streaming.

You will lead 3rd-party and B2B integrations, apply AI coding agents to speed delivery, and set scalable patterns in a fast-moving environment while maintaining high quality and reliability.

Qualifications

  • Full-stack, production-grade experience with .NET/C# REST APIs and Next.js/React front-ends.
  • Proven design of highly available, high-throughput systems.
  • Hands-on with MongoDB, Redis, PostgreSQL.
  • Experience with Kafka, event-driven architectures.
  • OAuth-based auth, HMAC, idempotency, auditing.
  • Experience with Docker and Kubernetes.
  • Experience with Azure cloud services.
  • Experience with CDN/edge platforms (Cloudflare).
  • Observability tooling (Grafana, Sentry) and incident analysis.

Responsibilities

  • Own delivery of product features end-to-end from design to production.
  • Build and operate 3rd-party and B2B integrations on the platform.
  • Use AI coding agents and automated verification to accelerate delivery.
  • Set technical patterns across a fast-moving, multi-workstream environment.

Skills

C#/.NET
Next.js/React
MongoDB
Redis
PostgreSQL
Kafka
OAuth
Docker
Kubernetes
Azure
Grafana
Sentry

Tools

Grafana Grafana
Sentry
Loki
Cloudflare
Terraform

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
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Staff Software Engineer – AI-Driven, Full-Stack Platform
Staff Software Engineer – AI-Driven, Full-Stack Platform

BLAZESOFT • Vaughan

On-site
CAD 110,000 - 160,000
On-site facilities
Parking on-site
Company events
+1
Senior Product Manager
Senior Product Manager

Zohorecruit • Vaughan

On-site
CAD 90,000 - 140,000
Extended healthcare
Dental care
Vision care insurance
Senior Full Stack Engineer, AI
Senior Full Stack Engineer, AI

Big Viking Games • Toronto

On-site
CAD 100,000 - 150,000
Group Retirement Savings Plan
Health, dental, and vision coverage
Wellness spending account
+4
Staff Full-Stack Engineer – C#, React, Distributed Systems
Staff Full-Stack Engineer – C#, React, Distributed Systems

Finlink Group • Aurora

On-site
CAD 150,000 - 190,000
Senior Product Manager
Senior Product Manager

BLAZESOFT • Vaughan

On-site
CAD 120,000 - 180,000
On-site parking
Leisure facilities
Healthcare coverage
+2
Senior Full Stack Engineer, AI
Senior Full Stack Engineer, AI

Big Viking • Toronto

Hybrid
CAD 100,000 - 150,000
Senior Staff Software Developer, Developer Productivity & AI Tooling
Senior Staff Software Developer, Developer Productivity & AI Tooling

United States Digital Space LLC • Toronto

On-site
CAD 130,000 - 170,000
Performance driven compensation
Supplemental health insurance
Mental health support programs
+1
Staff Software Engineer – AI & Platform
Staff Software Engineer – AI & Platform

Alygra • Quebec

On-site
CAD 120,000 - 180,000
AI Engineer (Gameplay)
AI Engineer (Gameplay)

Canadian Inclusion • Toronto

On-site
CAD 119,000 - 158,000
Extended health plan
Relocation assistance
Engineering
Engineering

Ignition • Toronto

Hybrid
CAD 160,000 - 190,000
Hybrid work environment
Office access in Toronto