DevOps & Cloud Infrastructure in Toronto.
AWS/GCP infrastructure and Kubernetes-orchestrated deployments. Mojo Studio delivers devops & cloud for founders and businesses in Toronto, senior engineers only, weekly demos, full IP ownership.
Built right,
shipped fast.
We architect infrastructure that survives real traffic — multi-region failover, CDN-edge distribution, containerized deployments on Kubernetes with zero-downtime rolling updates, and automated database backups. Most projects don't need enterprise-scale infrastructure on day one, so we scope this to what a growth-stage product actually needs, not a resume-driven architecture.
Built for Toronto's market.
Toronto's fintech scene (anchored by Canada's major banks and a dense insurtech/wealthtech startup layer) and its status as a leading AI research hub — the Vector Institute, University of Toronto's ML programs — produce technically demanding clients, but Canadian engineering salaries, while lower than Silicon Valley's, are still high enough relative to Canadian startup funding sizes that cost efficiency matters more here than founders often admit publicly. Toronto companies are also unusually comfortable with distributed and international teams already, given Canada's own multi-timezone reality, which lowers the cultural friction of adding an India-based team relative to more insular markets. The city's health-tech and enterprise-SaaS layers add steady demand for compliance-aware, longer-cycle builds beyond consumer apps.
Toronto's fintech & banking tech and ai/ml research & applied ai businesses have specific needs when it comes to devops & cloud — this is the local context that shapes how we scope every Toronto engagement, not a generic playbook applied everywhere.
From brief to launch.
Infrastructure audit & scaling plan
CI/CD pipeline setup
Containerization & orchestration (as needed)
Monitoring, alerting, and on-call runbooks
DevOps & Cloud FAQ.
Usually not yet. We scope infrastructure to your actual traffic and team size — a lot of products run fine on managed containers or serverless well past their first thousand users. We add orchestration complexity when it's actually justified.