Build production-matched simulation environments to test and validate AI agents before launch. Catch failures early and deploy with confidence. Backed by Y Combinator.
About the role
We are looking for a Senior Platform Engineer with deep Rust experience to help design, build, and operate the systems at the core of Chronicle's platform. You will work across application architecture, data infrastructure, developer experience, and production operations. The ideal candidate is comfortable moving between designing a reliable service, debugging a concurrency issue, improving a deployment process, and evaluating a new storage architecture.
What they're looking for
- Five or more years of professional software engineering experience, or equivalent depth of experience building production systems
- Strong expertise in Rust, including ownership, lifetimes, traits, generics, error handling, and performance analysis
- Production experience with asynchronous Rust, concurrency, cancellation, resource management, and backpressure
- Experience designing and operating backend services, HTTP APIs, streaming systems, webhooks, or background processing systems
- Strong understanding of relational databases, including schema design, migrations, transactions, query performance, and connection management
- Experience building modular systems with well-defined interfaces, reusable components, and comprehensive tests
More about this role
Chronicle Labs is building infrastructure for testing, evaluating, and operating AI agents.
Our platform captures activity across systems, reconstructs realistic operating environments, and enables teams to replay workflows and validate agent behavior before deployment.
The platform spans event ingestion, data storage and querying, isolated execution environments, backend APIs, developer tooling, and customer-facing applications.
We are looking for a Senior Platform Engineer with deep Rust experience to help design, build, and operate the systems at the core of Chronicle's platform.
You will work across application architecture, data infrastructure, developer experience, and production operations. The ideal candidate is comfortable moving between designing a reliable service, debugging a concurrency issue, improving a deployment process, and evaluating a new storage architecture.
This is primarily a software engineering role with meaningful production ownership — not a traditional DevOps or infrastructure-only position. You will spend most of your time building backend and distributed systems while also taking responsibility for how those systems are deployed, observed, scaled,...
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