Distributed Systems Architect
Há 3 dias
About Firstbatch
We are building a crowdsourced hyperscaler, a movement led by everyday people that unlocks faster, more affordable inference for everyone.
Our mission is to deliver accessible, cutting-edge performance anytime, anywhere.
We focus on delivering high-quality AI for diverse applications, with an emphasis on compilers, sharding, peer-to-peer networks, CPU/GPU inference, and data generation.
The Role
As a Distributed Systems Developer, you will play a critical role in building and optimizing SDKs that power large-scale, distributed AI workloads.
Main Responsibilities
- Distributed Systems & Service-Oriented Architecture
- Design and implement scalable, fault-tolerant distributed systems with a strong focus on performance and reliability.
- Develop Python SDKs to interface with distributed computing resources and improve developer experience.
- Build and optimize RPC communication patterns for efficient service interactions.
- Work with asynchronous frameworks to ensure efficient and responsive system behavior.
- Leverage workflow orchestration APIs to schedule, manage, and track distributed computation tasks.
Developer-Focused SDK & API Design
- Build intuitive, consistent, and user-friendly SDKs that streamline developer adoption.
- Design APIs that are elegant, well-documented, and scalable, ensuring a seamless developer experience.
- Collaborate with internal teams (engineering, product, DevRel) to shape API standards and best practices.
Infrastructure & Performance Optimization
- Work with microservice architectures to scale distributed AI workloads efficiently.
- Utilize MongoDB, Redis, and SQL databases to optimize storage and retrieval performance.
- Implement Dockerized services for scalable deployment in AWS cloud environments.
- Ensure security, observability, and maintainability of all distributed components.
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