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Parallel DomainPD

Principal Site Reliability Engineer

Parallel Domain is transforming the development of autonomous systems through its innovative synthetic data platform, enhancing safety and AI performance.

Parallel Domain

Employee count: 51-200

Canada only

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We are looking for a Principal Site Reliability Engineer to own the reliability, scalability, and security of our cloud infrastructure, working closely with a small platform engineering team and partnering with engineering leads across simulation and ML, and customer-facing teams.

Requirements

  • Infrastructure-as-code proficiency - Terraform modules, state management, and multi-environment patterns.
  • Deep AWS experience - EKS, EC2, IAM, S3, Storage Gateway, VPC networking, Transit Gateway, CloudFront, KMS, and IRSA.
  • Kubernetes expertise - cluster operations, node pools, probes, cordoning, pod scheduling, RBAC, Helm, node autoscaling (Karpenter experience a plus); solid understanding of containerization and AMI lifecycle management.
  • CI/CD - experience with GitOps workflows and pipeline tooling (ArgoCD, GitHub Actions, Jenkins)
  • Solid networking fundamentals - CIDR design, security groups, DNS, load balancing, VPN, cross-region connectivity.
  • Experience with monitoring and observability tooling - Prometheus, Grafana, Elasticsearch.
  • Comfort with Python and Bash for tooling and automation.
  • Familiarity working across Linux and Windows environments.
  • Operational familiarity with Windows Server is a meaningful advantage.

About the job

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Job type

Full Time

Experience level

Location requirements

Hiring timezones

Canada +/- 0 hours

About Parallel Domain

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Parallel Domain is at the forefront of revolutionizing machine perception through synthetic data generation. Established in 2017, our company is rooted in the San Francisco Bay Area. We have rapidly assembled a diverse team of experts from around the globe, specializing in autonomous systems, graphics, simulation, and software development. Our innovative platform offers high-fidelity sensor simulation, enabling our clients to test and train AI models across various environments and conditions effectively.

The core of our technology, PD Replica, enables users to create digital twins from real-world environments, offering fully annotated and simulation-ready settings. This capability not only closes the sim-to-real gap but allows for the exploration of machine learning ideas with unparalleled realism and scalability. By transforming the development of AI systems, we aim to contribute to safer autonomous solutions that enhance public safety.

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Parallel Domain

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