Senior Staff Software Engineer, Cloud AI, Agent Governance

• Architect, build, and operate large-scale environments that allow developers to test complex agent behaviors, tool calling, multi-turn workflows, and end-to-end workflows in isolated, reproducible sandboxes.
• Deliver reproducible evaluation infrastructure and automated test harnesses capable of validating against enteprise visibility, security, compliance requirements.
• Design and scale the platform infrastructure that enables agentic systems to validate online and audit offline and alert based on behavioral patterns.
• Build the metrics engines and dashboards to track evaluation coverage, semantic correctness, quality metrics, and regression signals over time. Standardize the use of metrics for production health.
• Integrate evaluation runs into deployment pipelines, creating release gates to prevent semantic and structural regressions before agent deployments reach production.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 5 years of experience with design and architecture, and testing, launching software products.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• 10 years of experience leading the design and implementation of scalable distributed systems, ML platforms, or observability infrastructure, ideally in the context of large-scale agent platforms.
• Experience leading engineering teams and collaborating with product managers and researchers to translate scientific concepts into reliable developer tools.
• Strong understanding of LLM execution mechanics, tool-calling APIs, and model-level failure analysis.
• Fluency in distributed tracing, semantic monitoring, and telemetry collection at scale.
• Proven track record of shipping complex enterprise-grade developer platforms, virtualization/sandbox environments, or production-grade test harnesses.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  
• 5 years of experience with design and architecture, and testing, launching software products.
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).