Senior Cloud Infrastructure Engineer, Google Public Sector

NextGig; Washington (District of Columbia); Vor Ort; USD 174.000 - 252.000; Vollzeit

Benefits dieser Stelle

Health, dental, vision, life, disabled

401(k) with company match

20 days vacation/yr

Zusammenfassung

Google in Washington, DC, is seeking a Senior Cloud Infrastructure Engineer to design, automate, and scale mission-critical platform infrastructure across Google Cloud Platform, multi-cloud, and secure air-gapped environments. The role supports high-resilience systems for AI agent swarms and may require travel up to 25%.

Based in Reston, VA or Washington, DC, USA, you will architect, implement, and operate secure cloud platforms with Kubernetes, IaC, and advanced observability.

Qualifikationen

• You must have a Bachelor's in CS, Computer Engineering, or related field.
• 5 years software engineering & infrastructure, architecting/operating secure cloud platforms.
• Experience with Kubernetes and cloud security architectures.
• Active Top Secret/SCI clearance is required.
• Experience with IaC tools: Terraform, OpenTofu, or Pulumi.

Aufgaben

• Architect resilient GCP and hybrid platform infrastructure with IaC.
• Develop orchestration layers for 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 & self-healing pipelines.
• Execute chaos experiments to expose systemic bottlenecks.
• Adapt platform modules across secondary clouds and air-gapped/on-prem environments.

Kenntnisse

Go

Python

Rust

SRE practices

Observability

Incident response

Distributed tracing

Git workflow

Ausbildung

Bachelor's

Tools

Kubernetes

Terraform

OpenTofu

Pulumi

OpenTelemetry

Prometheus

Grafana

Kafka

Git

Jobbeschreibung

Senior Cloud Infrastructure Engineer, Google 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

Job Description

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.

Requirements

Education

Bachelor's

Experience Level

Senior

Years of Experience

5 years

Minimum Qualifications

• 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, OpenTelemetry), incident response
• Experience with IaC & config mgmt using declarative tools: Terraform, OpenTofu, 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

Preferred Qualifications

• 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)

Responsibilities

• 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

Skills Required

Additional Qualifications

Languages

• 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)