• You'll own reliability across our Azure-based cloud platform — but how you get there is changing. • We expect our SREs to actively use AI tools to work smarter: faster root cause analysis, intelligent alerting, automated runbooks, predictive scaling. • You'll deep-dive production issues, build automation that sticks, and partner closely with engineering teams to ship and run resilient services at scale — for regulated, compliance-heavy clients who can't afford surprises. • You'll also join our on-call rotation.

• Maintain and support core infrastructure systems with deep knowledge of Linux (Debian/Ubuntu preferred). • Work close to the metal: BIOS, IPMI, RAID setups, and hardware-level diagnostics are part of your comfort zone. • Design and maintain scalable networks using VLANs, L2/L3 routing, VPNs, and especially UniFi equipment. • Automate infrastructure provisioning and operations with Ansible, Bash/Python, and Git-based workflows. • Set up and manage observability stacks, including Prometheus/Grafana for metrics and Graylog, ELK, or Loki for log centralization. • Build tooling for server discovery, config auto-generation, automated OS deployments, PXE/Preseed/Cloud-init, and strong MAAS-based provisioning. • Integrate and/or develop internal APIs for tracking compute and GPU resource allocation, as well as external APIs (billing, monitoring, OpenStack, etc.). • Deploy and maintain virtualization and orchestration systems such as OpenStack (preferably with Kolla-Ansible), Proxmox VE, or VMware ESXi. • Support container-based workloads and isolate services efficiently.

• Maintain and support core infrastructure systems with deep knowledge of Linux (Debian/Ubuntu preferred) • Work close to the metal: BIOS, IPMI, RAID setups, and hardware-level diagnostics • Design and maintain scalable networks using VLANs, L2/L3 routing, VPNs, and especially UniFi equipment • Automate infrastructure provisioning and operations with Ansible, Bash/Python, and Git-based workflows • Set up and manage observability stacks, including Prometheus/Grafana for metrics and Graylog, ELK, or Loki for log centralization • Build tooling for server discovery, config auto-generation, automated OS deployments, PXE/Preseed/Cloud-init, and strong MAAS-based provisioning • Integrate and/or develop internal APIs for tracking compute and GPU resource allocation, as well as external APIs (billing, monitoring, OpenStack, etc.) • Deploy and maintain virtualization and orchestration systems such as OpenStack (preferably with Kolla-Ansible), Proxmox VE, or VMware ESXi • Support container-based workloads and isolate services efficiently

• Redefine how public funds reach the people who need them. • Play a key role within our platform team, helping to optimize our cloud infrastructure, deployment pipelines, and system visibility. • Help drive the continuous evolution of our AWS environments. • Optimize our GitHub-centric deployment lifecycles. • Build a proactive observability culture. • Work as a high-impact peer to our Engineering and Security teams. • Ensure our platform remains highly available, performant, and reliable for our government partners while adhering to federal and state compliance standards.