Senior Site Reliability Engineer, Parallel Domain

• 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
• 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

Desirable

• 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
• 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
• Core Tools: Terraform, AWS, Kubernetes, Helm, Kustomize, ArgoCD, GitHub Actions, Prometheus, Grafana, Docker, Python, Bash