Member of Technical Staff
Build and operate the connector runtime and semantic layer that enables Perplexity agents to securely integrate with hundreds of external systems and enterprise data sources.
Staff Software Engineer, AI Platform
Staff-level engineer to architect and operate the Agentic Data Plane (ADP) and cloud services across AWS/GCP/Azure. Lead large projects, enforce 99.99% SLA, and raise engineering standards. Requires deep Go, Kubernetes, and public-cloud experience.
220k – 260kSan Francisco, CABackend EngineeringHybrid7+ YOE
About the role
You Will
- 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
You Have
- Significant 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
GoKubernetesAWSGCPAzureIacStream ProcessingObservabilityResilience Engineering
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