Senior Cloud Infrastructure Engineer, Google Public Sector
Share Senior Cloud Infrastructure Engineer, Google Public Sector
corporate_fare Google place Reston, VA, USA ; Washington D.C., DC, USA
info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.
- Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical engineering experience.
- 5 years of experience with software engineering and infrastructure, architecting and operating secure cloud platforms, and programming in Go, Python, or Rust.
- Experience with Site Reliability Engineering (SRE) practices, including SLIs/SLOs, distributed tracing, observability systems (e.g., Prometheus, Grafana, OpenTelemetry), and incident response.
- Experience with Infrastructure as Code (IaC) and configuration management using declarative tools such as Terraform, OpenTofu, or Pulumi.
- Experience orchestrating containerized workloads using Kubernetes, and experience with zero-trust architecture, identity and access management (IAM), public key infrastructure (PKI), secrets management, and encryption.
- Must possess an 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, and maintaining platform stacks across multi-cloud environments (e.g., GCP) and disconnected, air-gapped, or classified SCIF environments.
- Experience authoring custom Kubernetes Operators, Custom Resource Definitions (CRDs), or platform APIs to automate cluster lifecycle management.
- Experience with distributed messaging, streaming, or caching layers leveraged 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).
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh