Sr Principal / Architect Engineer, Software - Backend, AI Observability/Evaluations (Chronosphere)
Core
Design and build backend systems for AI observability and evaluation to help developers test, measure, and benchmark AI models, agents, and RAG applications.
Role type
Sr Principal / Architect Engineer, Software - Backend, AI Observability/Evaluations
Builds
Scalable APIs, data processing systems, and testing/benchmarking frameworks for AI agents and applications
Domain
Cybersecurity / AI Observability / Cloud Infrastructure
Deliverable
production ML models
Required skills
Backend engineering (Go, Java, Python, Rust), Cloud infrastructure (AWS, GCP, Azure), API design (REST, gRPC, GraphQL), Distributed systems, System observability, Technical roadmap & architecture, Cross-functional collaboration, Project ownership
Preferred skills
LLM-powered product features, AI coding assistants (Cursor, Codex, Claude)
Technologies
Go, Java, Python, Rust, AWS, GCP, Azure, REST, gRPC, GraphQL
Responsibilities
Build backend capabilities for observing and evaluating AI models/agents/RAG; Design systems for systematic testing and benchmarking of AI applications; Build scalable APIs and data processing systems for AI telemetry; Shape technical roadmap and architecture for AI Observability; Collaborate with PMs, engineers, and customers to deliver features; Improve system performance, reliability, and cost efficiency; Mentor engineers and maintain engineering standards
Seniority
Sr Principal, hands-on IC with mentorship
