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.
About the job
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
Go, Kubernetes, AWS, GCP, Azure, Iac, Stream Processing, Observability, Resilience Engineering
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