Principal Site Reliability Engineer

About the Role

Parallel Domain is looking for a Principal Site Reliability Engineer to own the reliability, scalability, and security of our cloud infrastructure - the backbone that runs simulation workloads for some of the most demanding customers in autonomous vehicle development.

This is a hands-on, high-ownership role. You'll be the primary infrastructure owner across our multi-region AWS/EKS platform, working closely with a small platform engineering team, partnering with engineering leads across simulation and ML, and our customer-facing teams.

Infrastructure Ownership & Cloud Operations

• Own and evolve our AWS-based infrastructure, improving platform performance and availability today, and building toward deployable configurations that support enterprise customer environments tomorrow.

• Own EKS cluster operations across production regions: node pool strategy, AMI lifecycle, autoscaling, and Kubernetes workload health.

• Support the GitOps deployment pipeline - define, deploy, and manage applications across clusters using infrastructure-as-code.

• Manage complex networking: VPC design, cross-region connectivity, DNS, and load balancing.

• Lead infrastructure deprecation and migration efforts with minimal disruption.

Reliability Engineering & Incident Response

• Own SLO measurement infrastructure; enable proactive triage of emerging issues before they impact customers.

• Lead incident investigation, root cause analysis and postmortems, driving systemic fixes rather than one-off patches.

• Design and improve automated remediation systems to reduce MTTR.

Security & Access Management

• Review and 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.

Cross-Functional Collaboration

• Partner with application development teams to build an inherently secure platform and drive next-generation deployment architecture.

• Partner with customer teams to ensure availability for expected utilization.

• Partner with Finance on cloud cost optimization - lifecycle policies, right-sizing, and spend visibility.

• Support GPU and batch workloads in collaboration with simulation and ML engineering teams.

Platform Tooling & Developer Experience

• Improve CI/CD pipelines and automated infrastructure validation.

• Support engineering teams with infra-side debugging, log analysis, and environment configuration.

Technical Depth

• 5+ years in SRE, DevOps, or infrastructure engineering roles.

• 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.

Communication & Ownership

• You communicate clearly across engineering, product, and customer-facing teams, flagging issues with urgency proportional to customer impact.

• You advocate for SRE best practices and can effectively operationalize an informed and principled view on security.

• You take end-to-end ownership of complex, multi-team efforts - from planning through execution and post-change verification.

• You know when to push for a clean solution vs. when to accept a pragmatic one, and you communicate that tradeoff clearly.

• Experience with Windows-based workloads on EKS.

• Experience supporting simulation, ML, or rendering workloads in cloud infrastructure; running GPU workloads on Kubernetes, including NVIDIA and DirectX device plugin configuration.

• Experience with AWS Storage Gateway or Transfer Family integrations.

• Familiarity with Envoy Gateway or similar.

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

• Experience with cloud cost optimization at scale.