• Architect and operate multi-region, multi-cloud deployments across AWS, GCP, or Azure • Design and maintain high-throughput telemetry ingestion pipelines • Build event-driven architectures supporting real-time observability • Implement autoscaling, failover strategies, and fault-tolerant system design • Own production observability using Prometheus, Grafana, distributed tracing, and alerting frameworks • Define and manage Production SLOs, incident response, and reliability engineering practices • Develop and maintain CI/CD pipelines, GitOps workflows, and deployment automation • Collaborate with backend engineering on API performance and infrastructure reliability • Harden infrastructure for security, compliance, and tenant isolation • Drive the long-term infrastructure roadmap and architectural direction • Manage Infrastructure-as-Code (Terraform or similar) and full environment lifecycle

We are seeking a Principal AI Operations Engineer to define the technical direction for the AI Operations group. In this role, you will: Design and architect operational systems Establish standards for branch health, CI/CD pipelines, production deployments, and on-call processes Drive reliability initiatives and maintain production health and uptime Ensure the platform meets its SLOs Be the escalation point for complex incidents Work closely with the Platform team to ensure services are operationally ready

The Senior Systems Administrator is responsible for ensuring the secure, reliable, and efficient operation of enterprise IT systems, networks, and infrastructure. This role proactively solves complex technical issues, implements and maintains security controls, and supports agency operations through system administration, network management, and customer-focused technical support. Own day-to-day technical decision making, escalated incident response, and enforcement of technical standards across systems and infrastructure. Collaborate closely with business partners to protect data, mitigate security risks, and support ongoing technology improvements. Work with minimal supervision, contribute to IT planning and resource management, and help drive operational efficiency through automation, documentation, and continuous improvement initiatives. Configure, monitor, and troubleshoot servers, workstations, networks, cloud platforms, and enterprise applications. Administer user access and security controls. Respond to incidents and suspicious activity. Support IT projects, upgrades, and migrations.

• Work collaboratively with software and systems engineering to deploy and manage systems within AWS Cloud. • Lead the automation and streamlining operations and processes. • Design, build, setup, and maintain tools for deployment, monitoring, and infrastructure provisioning. • Administer all systems related to R&D projects, including user creation, systems provision troubleshooting, monitoring, etc. • Create the vision and designs the automation strategy across the platform. • Troubleshoot site down issues and respond to emergency outages. • Scale infrastructure to meet demand and continuously monitor/improve the quality of infrastructure. • Participate in on-call rotation as needed.