Platform/DevOps Engineer

About the role

What you will do

• Own infrastructure, security, observability, and monitoring standards and maintain platform blueprints and guardrails.
• Manage GCP infrastructure and Kubernetes as code with Terraform.
• Improve CI/CD, self-service tools, and the delivery harness for fast, safe, reliable shipping, including AI-written code.
• Instrument production signals, reduce monitoring noise, own incident processes, inform stakeholders, and drive fixes.
• Set targets and reduce cloud, vendor, and LLM costs while keeping trends visible.
• Own security and access for customer revenue data, including IAM, secrets, network controls, Cloudflare, Aikido, and model-inference security.
• Support infrastructure for data pipelines and the warehouse alongside data engineers.

What we are looking for

• 6+ years of relevant experience as the primary owner of production cloud infrastructure, on GCP or a close equivalent.
• Production Terraform experience, with infrastructure changes made through code.
• Experience building or improving daily-use CI/CD and self-service tooling for product teams.
• AI coding tool fluency, including verifying generated code and safely managing high volumes of AI-written changes.
• Experience with monitoring, alerting, incident ownership, and postmortems that changed team practices.
• Experience implementing least-privilege IAM, secrets management, and network controls for sensitive customer data.
• Experience reducing cloud spend without harming reliability and keeping costs visible to the team.

Standout experience

• Experience with GCP, Kubernetes, BigQuery, Pub/Sub, Cloud Tasks, Terraform, Atlantis, CircleCI, Datadog, Incident.io, Cloudflare, Aikido, Node.js, TypeScript, or close equivalents is a plus.
• Data platform experience with Airbyte, Dataform, or BigQuery is a plus.
• Infrastructure for LLM or agent workloads and usage or cost controls is a plus.
• Experience helping a team through SOC 2 or a similar framework is a plus.

Benefits and team

• Vasco describes a small, experienced team, early-stage pace, meaningful ownership, autonomy, and an AI-forward working environment.
• Compensation is described as top of the national market, with stock options, uncapped paid time off, parental leave, and employer-paid health coverage for employees and dependents.

Where you will work

• Hybrid in Montreal, with three in-person days per week—Monday, Tuesday, and Thursday—at WeWork Place Ville-Marie.

Hiring process

• The process includes a discovery call, hiring manager interview, technical challenge and interview, and final CEO interview.
• A background check is required before starting.