Senior Cloud Infrastructure Engineer, Public Sector

Google

Washington D.C., District of Columbia, United States

Full-time

$174,000 - $252,000 / year

Last Seen:
November 10, 2026

Added:
Nov 6, 2026

You will design, automate, and scale mission-critical platform infrastructure across Google Cloud Platform, multi-cloud, and secure air-gapped environments while architecting high-resilience systems for dynamic AI agent swarms. The position is based in Reston, VA, USA or Washington D.C., DC, USA and may require travel up to 25% of the time.

Bachelor's

Senior

5 years

• Bachelor's in CS, Computer Engineering, related technical field, or equivalent practical engineering exp
• 5 yrs software engineering & infrastructure, architecting/operating secure cloud platforms, programming in Go, Python, or Rust
• Experience with SRE practices: SLIs/SLOs, distributed tracing, observability (Prometheus, Grafana, Open Telemetry), incident response
• Experience with IaC & config mgmt using declarative tools:
  Terraform, Open Tofu, or Pulumi
• Experience orchestrating containerized workloads using Kubernetes
• Experience with zero-trust architecture, IAM, PKI, secrets mgmt, encryption
• Must possess active Top Secret/SCI security clearance

• Experience architecting distributed runtime environments or message-driven orchestrations to scale dynamic AI agent swarms, distributed LLM pipelines, or parallelized autonomous compute nodes.
• Experience running, patching, maintaining platform stacks across multi-cloud (e.g., GCP) & disconnected, air-gapped, or classified SCIF environments
• Experience authoring custom Kubernetes Operators, CRDs, or platform APIs to automate cluster lifecycle management
• Experience with distributed messaging, streaming, or caching layers in multi-agent systems (e.g., Kafka, NATS, Redis, RabbitMQ)
• Experience engineering solutions within high-assurance compliance frameworks (e.g., DoD IL5/IL6, FedRAMP High, NIST SP 800-53, or ICD 503)

• Architect resilient GCP & hybrid platform infrastructure with IaC & git-driven workflows
• Develop orchestration layers for dynamic AI agent swarms, optimizing GPU/compute & cost
• Establish SLOs/SLIs & error budgets across distributed services with tracing & alerts
• Eliminate operational toil via custom tooling, operators, controllers & self-remediating pipelines
• Execute chaos experiments to proactively expose systemic bottlenecks
• Adapt platform modules across secondary clouds & air-gapped/on-prem enterprise environments

• Health, dental, vision, life, disability insurance
• 401(k) with company match
• 20 days vacation/yr, accruing 6.15 hrs/pay period first 5 yrs
• 40 hrs sick time/yr (69 hrs/yr Seattle) + 5 discretionary sick days/instance
• 28-30 weeks maternity leave (Short-Term Disability + Baby Bonding)