About the role
We are looking for a Software Engineer to help build BlazerOps, our AI platform for working with data.
You will work across backend services, AI agents, and developer tools, taking features from design through deployment and production support.
About Hyades
Hyades builds AI software for working with complex data.
BlazerOps turns your data and a goal into a working pipeline. Its AI agents plan the work, write the code, and run it.
Customers can use our managed services or connect their own compute, storage, and AI providers.
What you will do
- Build backend services for creating and running data pipelines.
- Develop AI agents and the tools they use to work with data.
- Build testing and evaluation tools to improve the code our agents produce.
- Run workloads reliably on our infrastructure and in customer cloud environments.
- Build secure integrations with customer storage and AI providers.
- Improve the web application, CLI, and APIs so users can understand and debug their work.
- Own performance, monitoring, and production support for the systems you build.
Our stack
TypeScript, React, and Next.js on the frontend; Rust, Python, and Go on the backend; PostgreSQL, Redis, and Neo4j. We host the application and orchestration services on AWS/EKS. Customer workloads can run on their own compute or our managed CPU/GPU compute.
Our agents support Claude, OpenAI, and Gemini models. We also use Claude Code, Codex, and Hermes in our engineering workflow.
Requirements
- Experience building and operating production software.
- Strong programming skills in Python and at least one of Go, Rust, or another compiled language.
- An understanding of distributed systems, including queues, state management, retries, and failure recovery.
- Experience with cloud infrastructure and service APIs.
- Comfortable working across backend services and user-facing features.
- Able to review, test, and debug code produced by AI tools.
Nice to have
- Experience with agent tool use, evaluation, or sandboxed code execution.
- Background in data processing, workflow orchestration, or ML infrastructure.
- Experience with Kubernetes, GPU workloads, or multi-tenant systems.
- Experience building developer-facing APIs or CLI tools.
You do not need experience with every technology in our stack. We care about your ability to learn and build reliable software.