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.
What You'll Do
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.
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.
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.
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.
Improve CI/CD pipelines and automated infrastructure validation.
Support engineering teams with infra-side debugging, log analysis, and environment configuration.
Infrastructure Ownership & Cloud Operations
Reliability Engineering & Incident Response
Security & Access Management
Cross-Functional Collaboration
Platform Tooling & Developer Experience
What We're Looking For
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.
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.
Technical Depth
Communication & Ownership
Nice to Have
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.
Core Tools
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