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Senior Cloud Ops Engineer

Google X· Engineering
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Mountain View, CA$174k - $261kfull-timePosted 4d ago

About the role

Senior Cloud Operations Engineer to lead technical vision and implementation of internal and multi-customer cloud infrastructure at Bellwether, focusing on scalable, secure, observability-driven cloud platform, CI/CD optimization, and cost management within a startup-like, high-risk research environment.

Responsibilities

  • Architect, deploy, and manage scalable, high-throughput, low-latency, and multi-region cloud infrastructure using Infrastructure as Code (IaC) principles.
  • Lead structural initiatives across cloud providers, focusing on microservices, serverless patterns, and zero-trust security controls.
  • Build and maintain self-service Internal Developer Platform (IDP) that allow software engineering teams to provision, test, and ship code securely and autonomously.
  • Streamline CI/CD pipeline capabilities, reducing build-to-deploy cycle times while enforcing compliance, guardrails, and security scanning.
  • Eliminate team friction through advanced orchestration, custom cloud operators, and robust automation tooling.
  • Champion end-to-end system visibility by designing unified observability frameworks incorporating metrics, logs, distributed tracing, and continuous profiling.
  • Define and implement robust Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets across core microservices.
  • Serve as an escalation authority for critical production incidents, driving root-cause analysis (RCA) and blameless post-mortem actions to eliminate repeat failure modes.
  • Establish continuously monitored FinOps practices—driving visibility into cloud spending, workload unit economics, capacity planning, right-sizing, and committed use reservation strategies.
  • Design and enforce automated right-sizing, lifecycle policies, committed use/reservation strategies, and continuous cost optimization patterns.
  • Partner with engineering leaders to establish resource allocation models and cost attribution tags without compromising performance or speed.

Qualifications

  • Master’s degree or higher in Computer Science or equivalent practical experience
  • Industry experience in core cloud providers (AWS, GCP, or Azure) and container orchestrators (Kubernetes)
  • Industry experience with infrastructure as Code tooling (Terraform) across multiple environments
  • Experience with networking fundamentals (VPCs, BGP, Service Mesh, DNS, CDN) and modern cloud security
  • Direct experience managing high-throughput, low-latency infrastructure architectures handling millions of daily requests or petabytes of data
  • Expertise in distributed systems concepts, load balancing strategies, disaster recovery design, and fault isolation patterns
  • Strong proficiency in Python and Typescript (bonus: Rust) to build APIs, automation tools, CLI, internal products, and system utilities
  • Experience with cloud-native telemetry toolsets, such as OpenTelemetry, Prometheus, Grafana, and Datadog
  • Demonstrated ability to navigate ambiguity and rapidly pivot in a startup-like, high-risk research environment

Skills

Required:AWS, GCP, or AzureKubernetesTerraformNetworkingPythonTypescript
Nice to have:OpenTelemetry, Prometheus, Grafana, Datadog

Benefits

  • bonus
  • equity
  • benefits
Last updated Oct 22, 2026. Interested? Apply on the company site.
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Welcome to X, Alphabet's Moonshot Factory. We create radical technologies to help solve some of the world’s hardest problems.

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