Infrastructure Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Who we are
For decades, insurance software has been built around rigid forms, portals and call centers that create friction for customers and drag for teams. Even as AI has advanced, most insurance work is still manual, slow and spread across disconnected systems.
General Magic builds AI agents that handle quoting, follow-ups, document collection, verification, claims intake and broker communication, connected directly to carrier, MGA and broker systems. We've raised $7.2M USD from Radical Ventures, a16z and several AI luminaries. We reward people who thrive with high autonomy, love shipping quickly and want real ownership. We work onsite in Toronto five days a week.
The role
You'll own the cloud platform General Magic runs on: reliable, secure, observable infrastructure that lets our engineers ship fast and meets the bar carriers and regulators expect when handling sensitive insurance data.
In this role, you will
Run our infrastructure on GCP and Cloud Run as code, with Terraform and solid CI/CD
Instrument services with metrics, logs and traces using OpenTelemetry, and set alerts and SLOs
Lead incident response, drive down latency and recovery time, and run postmortems
Design and tune databases, APIs and data pipelines for scale and reliability
Own IAM, secrets and encryption, and drive SOC 2 and PIPEDA readiness
Keep cloud costs in check without slowing the team down
For this role, you should have
Deep experience running cloud infrastructure as code, ideally on GCP
A strong reliability and observability mindset
Solid backend and database fundamentals
Practical security instincts and familiarity with SOC 2 or PIPEDA
A pragmatic, enabling approach: you automate everything and help other engineers move faster
$120-200k, equity, new MacBook Pro and more.
More about this job
Responsibilities
You will own the cloud platform, ensuring reliable, secure, and observable infrastructure for AI agent services. Responsibilities include managing GCP infrastructure as code, driving incident response, and ensuring compliance with SOC 2 and PIPEDA standards.
Requirements
Candidates should have deep experience with cloud infrastructure as code, preferably on GCP, and a strong background in reliability and observability. Practical security knowledge and a pragmatic approach to automation are essential for this role.
Skills
- GCP
- Cloud Run
- Terraform
- CI/CD
- OpenTelemetry
- Infrastructure as code
- Observability
- Incident response
- Database management
- API design
- Data pipelines
- IAM
- Encryption
- SOC 2
- PIPEDA
- Automation
Benefits
- Equity
- New MacBook Pro
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- Infrastructure Engineer
- GCP
- Cloud Run
- Terraform
- CI/CD
- OpenTelemetry
- Metrics
- Logs
- Traces
- SLOs
- Incident Response
- Databases
- APIs
- Data Pipelines
- IAM
- Encryption
- SOC 2
- PIPEDA
- Cloud Infrastructure
- Automation
- Insurance Software
- AI Agents
- Reliability
- Observability
- Backend