---
title: 'Senior Site Reliability Engineer at Parallel Domain'
canonical: 'https://feeny.ai/job/senior-site-reliability-engineer-parallel-domain-canada-h6yp2tqv28nn'
type: 'job'
last_seen: '2026-10-18'
---

# Senior Site Reliability Engineer at Parallel Domain

- **Company:** Parallel Domain
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-04-28
- **Last confirmed live:** 2026-10-18
- **Apply:** https://jobs.lever.co/paralleldomain/9d94e07a-4aae-44dd-856c-930cc6f39246

## Job description

## About the Role

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. This is a hands-on role with the broad ownership typical of a startup. 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.

## Responsibilities

- Infrastructure ownership and cloud operations. Design, build, and maintain multi-region AWS infrastructure using Terraform. Operate and scale EKS clusters across production regions: autoscaling, node lifecycle, workload health. Manage networking across environments: VPC design, DNS, load balancing, and cross-region connectivity. Support infrastructure changes, migrations, and expansions into new regions. 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. Write postmortems and drive systemic reliability improvements from what they surface. Improve observability across metrics, logging, tracing, and dashboards. Support GPU and batch workloads running on Kubernetes.

- Security and access management. Provide security-conscious feedback on platform architecture decisions. 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, environment setup, and performance issues. Contribute to tooling and automation in Python and Bash. Take on adjacent responsibilities as needed in a startup environment.

Required Qualifications

- Experience. 5+ years in SRE, DevOps, or infrastructure engineering roles, with a track record of operating production systems across multiple regions.

- Terraform. Modules, state management, and multi-environment patterns.

- AWS depth. Solid experience across VPC, IAM, EKS, S3, and CloudWatch.

- Kubernetes expertise. Cluster operations, autoscaling, RBAC, and Helm.

- CI/CD and GitOps. Experience with GitHub Actions, ArgoCD, or similar workflows.

- Networking fundamentals. CIDR, DNS, load balancing, VPN, and cross-region connectivity.

- Observability. Experience with tooling such as Prometheus and Grafana.

- Scripting. Comfort with Python and Bash for tooling and automation.

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

- Pragmatism and ownership. Comfortable in a fast-moving startup with evolving priorities. You take ownership of systems while collaborating closely with other teams, and you're pragmatic about tradeoffs between speed, reliability, and complexity.

## Preferred Qualifications

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

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

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

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

- Service mesh. Familiarity with service proxy or service mesh patterns.

- Container OS. Experience with container-optimized OS images (e.g., Bottlerocket, Packer).

- Cost optimization. Cloud cost optimization at scale.

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

What Makes a Great Candidate You think in failure modes and proactively surface issues. 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. You take end-to-end ownership of complex efforts and know when to push for the clean solution versus the pragmatic one.

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.

## About Parallel Domain

## Company Overview
- **One-liner**: Parallel Domain provides production-grade sensor simulation and reconstruction software that enables autonomous systems to test and validate perception stacks at scale using high-fidelity digital twins.
- **Entity Type**: Private (Series B, total funding $43.9M)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2017
- **Founders**: Kevin McNamara (Founder, Chief Product Officer)

## Core Business
- **Primary industry/industries**: Autonomous driving, drone delivery, eVTOL, robotics – simulation software for perception testing.
- **Target customers**: Enterprise autonomy teams at OEMs, mobility companies, and robotics firms (B2B, Enterprise).
- **Mission or purpose**: “Bridging the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most.”

## Products & Services
- **PD Replica**: Generates near pixel-perfect neural reconstructions from real-world drive or flight logs (camera, lidar, GPS). Output includes world physics, HD maps, scene segmentation, dynamic agent reconstruction, and object insertion. Used for deterministic, closed-loop and open-loop testing.
- **Sensor Simulation API**: Software-in-the-loop simulation for camera, lidar, and radar. Fully controllable, deterministic, and integrable with CI/CD pipelines. Supports multi-sensor configurations across geographies, weather, and lighting.
- **Data Lab** (launched 2023): Self-serve API for synthetic data generation, allowing teams to create variations of scenes and test edge cases that real-world collection cannot reliably produce.

## Market Standing
- **Valuation/Market Cap**: $16.2M (most recent disclosed valuation per GetLatka, 2025/2026).
- **Key Metric**: Annual Revenue ~$5M – $5.4M (2025); Total Funding $43.9M.
- **Notable Investors/Partners**: March Capital (led Series B), Foundry Group (led Series A), Costanoa Ventures, Ubiquity Ventures (seed).
- **Growth Signals**: +2% headcount growth YoY (41 employees as of 2026); active job postings increasing +25% YoY; expanding into new verticals (aviation, warehouse robotics); launch of PD Replica (2024) and Data Lab (2023) showing product innovation.

## Competitive Advantages
- **Production-ready fidelity**: Measurable sim-to-real gap reports that quantify how closely a replica matches the original scene – not just visual but auditable for regulatory readiness.
- **Deterministic multi-sensor simulation**: Camera, lidar, and radar in a single platform, with full control over trajectories, lighting, and weather.
- **Works with messy fleet data**: Ingests imperfect, real-world capture logs and converts them into reusable simulation assets.
- **Integration-first**: API-driven, compatible with existing autonomy stacks and CI/CD pipelines.

## Strategic Focus
- Scaling reconstruction capabilities to turn every mile driven into a reusable simulation asset.
- Expanding industry reach beyond automotive into drone delivery, eVTOL, and warehouse robotics.
- Deepening partnerships with OEMs and enterprise customers to embed simulation into their development lifecycle.
- Continuing to invest in R&D for neural reconstruction and deterministic sensor modeling.

## Why Work Here
- **Culture**: Mission-driven team working on critical safety technology for autonomous systems. Emphasis on “production-grade” quality and measurable trust.
- **Work model**: Remote-first with offices in San Francisco (HQ), Vancouver, Karlsruhe, and Palo Alto. Many roles are remote-friendly (e.g., Senior Linux Graphics Engineer, Senior SRE).
- **Engineering focus**: Strong engineering team (48% technical staff), with talent from EA, Shopify, Scale AI, Amazon, and Meta. Open roles include Director of Engineering (Simulation & Rendering), Senior SRE, Principal Technical Artist, and Product Manager.
- **Growth opportunities**: Company is still relatively small (~41-49 people) with increasing headcount, offering ownership and impact. Recent funding and product launches signal momentum.
- **Perks**: Not explicitly listed, but distributed team across 5 countries suggests flexibility, and the technical stack (C++, graphics, ML, sensor simulation) is cutting-edge.

## Sources
1. [paralleldomain.com](https://paralleldomain.com)
2. [jobs.lever.co/paralleldomain](https://jobs.lever.co/paralleldomain)
3. [linkedin.com/company/parallel-domain](https://www.linkedin.com/company/parallel-domain)
4. [getlatka.com/companies/paralleldomain.com](https://getlatka.com/companies/paralleldomain.com)
5. [venturebeat.com](https://venturebeat.com) (2024-06-19: PD Replica launch)
6. [techcrunch.com](https://techcrunch.com) (2022-11-16: Series B announcement)
7. [prnewswire.com](https://prnewswire.com) (2023-06-19: Data Lab launch)

## Other roles at Parallel Domain

- [Product Engineer](https://feeny.ai/job/product-engineer-parallel-domain-remote-xkbkzm0c78fk)
- [Director, Sales Engineering](https://feeny.ai/job/director-sales-engineering-parallel-domain-remote-dgsdee2tbqvj)
- [Product Manager](https://feeny.ai/job/product-manager-parallel-domain-vancouver-zhj9b17p8k1q) — Vancouver, Canada
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-parallel-domain-vancouver-48japfkvhev8) — Vancouver, Canada
- [Technical Account Director, Automotive](https://feeny.ai/job/technical-account-director-automotive-parallel-domain-remote-99arqmy7gqs4)
- [OEM Enterprise Sales Director](https://feeny.ai/job/oem-enterprise-sales-director-parallel-domain-remote-f2qkdvzcx9cr)
- [Enterprise Sales Director](https://feeny.ai/job/enterprise-sales-director-parallel-domain-remote-jk2faf0wth6p)
- [Principal Technical Artist](https://feeny.ai/job/principal-technical-artist-parallel-domain-vancouver-0zbwm7sxfcn0) — Vancouver, Canada
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-zocdoc-new-york-9zvygw8wjqn9) — New York, NY / United States
- [Senior Site Reliability Engineer](https://feeny.ai/job/senior-site-reliability-engineer-hinge-health-san-francisco-pdbm3k0cjykj) — San Francisco, CA