DevOps Engineer, Cloud Infrastructure & Live Games

Big Viking Games•Toronto, ON

3h•CA$95,000 - CA$115,000•Hybrid

About The Position

Big Viking Games is hiring a Senior DevOps Engineer to help design, maintain, secure, and modernize the infrastructure that supports our live-service games and internal development workflows. This is a hands-on role for someone who understands cloud infrastructure, automation, CI/CD, containers, monitoring, uptime, and production reliability — and who is comfortable working with legacy production systems alongside modern infrastructure patterns. Our games have been running for over a decade; the infrastructure reflects that history, and the right person sees that as an interesting challenge rather than a dealbreaker. You will work closely with engineering, product, QA, data, and live operations teams to improve how we build, deploy, monitor, and operate our systems. The right person is practical, security-aware, automation-minded, and able to balance speed with reliability. They can own infrastructure in a live production environment, improve DevOps processes, reduce manual work, and help development teams ship safely and efficiently. This is a hybrid role based in Toronto, with an expectation of working in office three days per week. Live-service games require operational awareness outside regular business hours, including periodic on-call and incident response availability.

Requirements

5+ years of experience in DevOps, infrastructure engineering, cloud engineering, site reliability engineering, or a similar role.
Strong hands-on experience with AWS or similar cloud platforms.
Experience designing, maintaining, and improving production infrastructure — including comfort with legacy systems that predate modern cloud-native patterns.
Proficiency with Infrastructure as Code tools such as Terraform, CloudFormation, CDK, Pulumi, or similar.
Experience with containerized applications, especially Docker.
Experience with CI/CD tools, version control, deployment automation, and modern release workflows.
Strong understanding of Linux systems, networking, cloud security, monitoring, logging, and operational troubleshooting.
Experience supporting production systems where uptime, reliability, and performance matter — especially systems that cannot tolerate extended downtime.
Experience with relational databases (MariaDB, MySQL, Postgres) and comfort working adjacent to data pipelines and ETL processes.
Security-aware mindset with practical experience in secrets management, credential rotation, access control, vulnerability reduction, and least-privilege practices.
Strong problem-solving skills and the ability to investigate complex infrastructure or production issues, including silent failures and data pipeline outages.
Ability to work closely with software engineers to improve build, deploy, and operational workflows.
Comfort creating documentation, runbooks, and repeatable operating processes.
Strong communication skills with both technical and non-technical stakeholders.
Practical ownership mindset with the ability to prioritize, execute, and close loops.

Nice To Haves

Experience in gaming, live-service products, SaaS, digital products, or other high-availability consumer platforms.
Experience supporting live games, virtual worlds, multiplayer systems, or real-time online products.
Experience with GitHub Actions, GitLab CI, Jenkins, CircleCI, Buildkite, or similar CI/CD tools.
Experience with Datadog, Grafana, Prometheus, CloudWatch, ELK, OpenTelemetry, or similar observability tools.
Experience with Redis, Memcached, queues, workers, or event-driven systems.
Experience with Snowflake, data warehouse connectivity, ETL monitoring, or data pipeline reliability.
Experience with serverless platforms (Netlify Functions, Vercel, AWS Lambda) and multi-platform hosting environments.
Experience with disaster recovery, backup strategies, incident management, load testing, and performance tuning.
Experience improving cloud cost management, tagging, resource optimization, or infrastructure governance.
Experience with container orchestration platforms such as Kubernetes, ECS, EKS, or Nomad.
Experience operating infrastructure that supports AI/ML workflows, API integrations, or automation platforms (Make.com, webhook-driven orchestration, MCP servers).
Experience using AI tools such as Claude, ChatGPT, Gemini, or similar platforms to improve DevOps workflows, documentation, troubleshooting, and automation.
Experience working in small, high-leverage engineering teams where infrastructure ownership is broad and hands-on.

Responsibilities

Monitor, maintain, and improve cloud infrastructure across AWS, Netlify, Vercel, and related platforms that support our live games, data systems, internal tools, and AI-powered operational workflows.
Drive infrastructure modernization while maintaining uptime for live games with active player communities — every improvement ships while the plane is flying.
Build, maintain, and improve automation for deployments, environment management, provisioning, secrets rotation, and operational workflows — reducing manual toil and human error.
Implement and maintain Infrastructure as Code using tools such as Terraform, CloudFormation, CDK, or similar technologies.
Maintain and monitor data pipelines between game source databases (MariaDB), the Snowflake data warehouse, and downstream analytics and reporting systems — ensuring pipeline health, freshness, and alerting when data stops flowing.
Improve CI/CD pipelines, release workflows, and deployment reliability so development teams can ship safely and frequently.
Own secrets and credential lifecycle management across platforms — including API key rotation, access controls, environment variable governance, and least-privilege practices.
Support and improve the infrastructure that powers AI and automation tooling, including API integrations, MCP servers, serverless functions, webhook reliability, and orchestration platforms.
Improve observability across the stack: logging, metrics, alerting, dashboards, and operational visibility — with particular attention to early detection of silent failures in data pipelines and production systems.
Support incident response, root cause analysis, remediation planning, and post-incident improvements.
Help manage cloud spend, infrastructure usage, resource tagging, and environment efficiency.
Create clear documentation, runbooks, SOPs, and repeatable processes for infrastructure and DevOps workflows.