Urgently Hiring

Distributed Systems Engineer

19 hours agoLead New York, NY and San Francisco, CA Onsite Full Time Engineering Jobs by Birdai Labs Inc.

Skills

Applied Cryptography Fault Tolerance Real-Time System Performance Data Ingestion Architecture Latency Low-Latency Systems Rust Distributed System Auction Mechanism System Reliability State Reconstruction Low-Latency Execution Blockchain Consensus Ai Tools Systems Programming

About the Role

You will design and build the core system from first principles, turning ambiguous problems into working, production-grade distributed systems. You will work across the full stack—data ingestion and state reconstruction, low-latency execution pathways, auction and coordination mechanisms, and system reliability and failure handling. You will make critical technical decisions, ship infrastructure into production, and establish engineering standards and code quality expectations.

Requirements

Experience leveraging AI tools and agent-based workflows to accelerate development
Strong systems programming experience in Rust
Deep experience building or operating distributed systems with real-world constraints such as latency, scale, and fault tolerance
Proven ability to design systems, not just implement them
Demonstrated ownership of complex systems or products from end-to-end
Strong intuition for tradeoffs among performance, complexity, and reliability
Comfortable operating in ambiguous environments with minimal structure
Experience with blockchain consensus internals, validator client architecture, or low-level protocol development (valued)
Experience with virtual machines or low-level execution environments (valued)
Background in systems where correctness and latency both matter (valued)

Responsibilities

Design and implement core system architecture for a real-time distributed platform
Own systems end-to-end from concept through design, implementation, and production
Translate ambiguous, high-level problems into concrete technical solutions
Identify and resolve performance bottlenecks, latency constraints, and system failures
Drive technical direction across multiple components and services
Collaborate with product and business to align technical decisions with economic outcomes
Establish engineering best practices, code quality standards, and reliability expectations
Build data ingestion and state reconstruction systems
Implement low-latency execution pathways
Design auction and coordination mechanisms
Ensure system reliability and failure handling