Staff Engineer, Foundations Platform

Reflection AI Ltd; New York (NY); Presencial; USD 120.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Top-tier compensation

Stock options

Health insurance

Meals provided

Parental leave

Unlimited PTO

Visa sponsorship

Team events

Descripción de la vacante

Reflection AI Ltd in New York is seeking a highly skilled software engineer to help build and operate the core shared services that power our research, training, and production environments. You will design APIs, SDKs, and internal platforms while upholding reliability targets and scalable architectures.

You will collaborate across research and infra teams to ensure high-velocity experimentation, low tail latency, and robust production systems, with opportunities to influence the future of open

Formación

• Strong software engineering background with production-grade systems experience.
• Experience designing APIs, services, or developer platforms for large-scale data or compute.
• Comfortable debugging complex codebases and optimizing for reliability and speed.

Responsabilidades

• Build and operate the core shared services powering our research, training, and production environments.
• Define and uphold reliability targets with SLIs, SLOs, and runbooks.
• Develop APIs, SDKs, and internal platforms enabling high-velocity experimentation.
• Ensure performance and correctness under load across the stack.

Conocimientos

Strong software engineering

Production-grade systems

API design

Debugging complex codebases

Collaborative communication

Open-weight AI familiarity

Go

Rust

C++

gRPC

Protobuf

Herramientas

Go

Rust

C++

gRPC

Protobuf

Descripción del empleo

Reflection AI Ltd in New York is seeking a highly skilled software engineer to help build and operate the core shared services that power our research, training, and production environments. You will design APIs, SDKs, and internal platforms while upholding reliability targets and scalable architectures.

You will collaborate across research and infra teams to ensure high-velocity experimentation, low tail latency, and robust production systems, with opportunities to influence the future of open