About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
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 ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
- Architect, implement, and maintain resilient, self-healing platform infrastructure across Google Cloud Platform (GCP) and hybrid environments, establishing declarative Infrastructure as Code and git-driven deployment workflows.
- Develop orchestration layers and high-concurrency runtime environments capable of provisioning, scaling, and terminating dynamic AI agent swarms on demand, optimizing for rapid elasticity, GPU/compute utilization, and cost efficiency.
- Establish and advocate Service-Level Objectives/Indicators (SLOs/SLIs), and error budgets across all distributed services, implementing comprehensive distributed tracing, metrics, and automated alert systems to guarantee system availability and fault tolerance.
- Eliminate operational toil through software engineering by building custom internal tooling, operators, controllers, and self-remediating pipelines, while executing chaos experiments to proactively expose systemic bottlenecks.
- Adapt core platform modules to operate reliably across secondary cloud providers and restricted, air-gapped, or on-premises enterprise environments without sacrificing developer velocity or security boundaries.
- Bachelor's degree in...
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