Before an autonomous vehicle navigates a busy intersection, before a robot learns to pick and place in a warehouse, before any Physical AI system is trusted in the real world, it has to prove itself in ours. Parallel Domain builds the platform that validates the next generation of autonomous systems in high-fidelity virtual environments, and the infrastructure underneath that platform is what makes simulation at scale possible.

We're hiring a Senior Site Reliability Engineer to help build and operate that infrastructure. This role sits at the core of how we run large-scale, distributed simulation workloads for autonomous-systems testing and validation. You'll work across multi-region AWS infrastructure, operate Kubernetes at scale, and contribute directly to reliability, security, and deployment systems that the rest of the engineering org depends on.

You'll partner closely with platform, simulation, and ML teams to keep the system running smoothly and evolving. We're growing the team—two of these roles are open—and the work is substantive: multi-region GPU scheduling, Windows workloads on Kubernetes, large-scale batch simulation, and an enterprise product direction that will require rethinking parts of how we deploy and operate.

Design, build, and maintain multi-region AWS infrastructure using Terraform. Manage networking across environments: Contribute to and improve GitOps-based deployment workflows using GitHub Actions, Helm, and Kustomize.

Reliability engineering and incident response.

Help build and run incident management processes: severity definitions, escalation paths, on-call practices. Lead incident response, debugging, and root-cause analysis. Own cloud IAM governance: roles, policies, and access boundaries across accounts and services. Lead compliance-adjacent work including audit-readiness,



partner certification requirements, and supporting responses to customer security questionnaires.

Platform tooling and developer experience.

Improve CI/CD pipelines and infrastructure validation. Support engineers with infrastructure debugging, setting setup, and performance issues. Contribute to tooling and automation in Python and Bash. 5+ years in SRE, DevOps, or infrastructure engineering roles, with a track record of operating production systems across multiple regions.

AWS depth.

Solid experience across VPC, IAM, EKS, S3, and CloudWatch.

Networking fundamentals.

Comfort with Python and Bash for tooling and automation.

Working knowledge of both Linux and Windows environments. Operational experience supporting Windows-based workloads is a meaningful advantage.

Windows on Kubernetes.

Experience with Windows node pools, Windows AMIs, and GPU-adjacent components on K8s.

Familiarity with GPU scheduling on Kubernetes, including NVIDIA device plugin configuration.

Experience supporting simulation, ML, or rendering workloads in cloud infrastructure.

AWS extras.

Exposure to AWS Storage Gateway, Active Directory integrations, or AWS Transfer Family.

Terraform · AWS · Kubernetes · Helm · Kustomize · ArgoCD · GitHub Actions · Prometheus · Grafana · Docker · Python · Bash

You hold a principled view on security and push back constructively when designs introduce unnecessary risk. You communicate clearly across engineering, product, and customer-facing teams, flagging issues with urgency proportional to customer impact. Base salary range of CAD $145,000–$185,000, depending on skills, qualifications, and experience, plus equity, full health/dental/vision coverage, learning stipend, and generous vacation. This role is remote-friendly across Canada and the US Pacific Northwest.

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📌 Senior Site Reliability Engineer-Remote (Montreal)
🏢 Parallel Domain
📍 Montreal