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Senior Software Engineer, Cloud

205k – 240kSan Francisco, CABackend EngineeringHybrid5+ YOE
Summary

Senior engineer to design, build, and operate the Agentic Data Plane (ADP) and cloud services on AWS, GCP, and Azure with Kubernetes. Lead architecture, ensure 99.99% SLA, and drive reliability and operational excellence.

About the role

Responsibilities

  • Design, build and operate ADP and cloud services across AWS, GCP, and Azure, including control plane and data plane components
  • Convert ambiguous product requirements into clear technical designs and executable workstreams
  • Lead the technical direction of large projects within ADP, and contribute to architecture discussions that span ADP and adjacent Cloud teams
  • Anticipate technical risks and proactively mitigate them to ensure timely, high quality delivery
  • Set and uphold high standards for reliability, scalability, performance, and security
  • Identify and champion new features, process improvements, and strategic initiatives that enhance engineering culture and operational excellence
  • Participate in the on-call escalation chain; helping reduce escalations and improve operational health
  • Build tools and services for automated infrastructure provisioning, deployment, and self-healing
  • Make resilience and observability integral to the systems you own, enabling us to run enterprise-grade agentic systems and service in the cloud

Requirements

  • 5+ years of experience designing and operating large-scale, reliable systems in public cloud environments
  • A track record of leading large technical projects end-to-end, from design and planning, to execution and production operations
  • Strong proficiency in Go (or comparable systems language with willingness to ramp)
  • Experience with AI-assisted software development workflows including tools like Claude Code
  • Production experience with Kubernetes, including running and operating workloads
  • Working knowledge of at least one of AWS / Azure / GCP, including IaC for system and network infrastructure
  • Familiarity with stream processing concepts
  • Excellent written and verbal communication skills; comfortable working in a globally distributed, async environment (e.g., GitHub)
  • Ability to collaborate effectively with engineering, product, and customer-facing stakeholders

Nice to Have

  • Experience building Kubernetes operators for stateful / storage workloads
  • Experience building or operating SaaS platforms
  • Experience with streaming platforms as a user or provider
  • Exposure to production agentic systems and building agentic workflows
Skills
GoKubernetesAWSGCPAzureInfrastructure as CodeCloud ArchitectureStream ProcessingObservabilityResilience Engineering
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