Senior RUST Developer / Senior Software Engineer - Platform (Remote US)

yurtsai; United States; Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Fully remote

US-based role

Competitive pay

Job summary

yurtsai seeks a senior software engineer to build and maintain the core infrastructure powering an AI platform for government and enterprise clients. You will design high-performance Rust components supporting agentic AI and ML workflows across large-scale distributed systems.

Responsibilities include architecting foundational components, collaborating with cross-functional teams, and ensuring platform stability and scalability in a remote US-based role with eligibility restricted to U.S.

Qualifications

• 5–8+ years of software/platform engineering experience.
• Hands-on Rust backend/infrastructure development experience.
• Strong knowledge of distributed databases and low-latency access patterns.
• U.S. citizenship or permanent residency required for federal contracting.

Responsibilities

• Architect and develop foundational components, frameworks, and libraries for the AI platform.
• Collaborate with cross-functional teams to deliver platform services for developers.
• Work with ML engineers to run ML workloads efficiently in enterprise environments.
• Provide production support and troubleshooting to ensure platform stability and scalability.
• Stay current with design patterns, technologies, and developer-experience best practices.
• Contribute to an engineering culture focused on psychological safety, inclusion, and technical excellence.

Skills

Rust

Distributed systems

Backend engineering

Performance optimization

Education

Bachelor’s degree or equivalent

Tools

Kubernetes

Job description

Role overview

A senior software engineer position focused on building and maintaining the core infrastructure that powers an AI platform designed for government and enterprise customers. The role centers on designing high-performance, foundational components in Rust that support agentic AI and machine learning workflows across large-scale distributed systems. This is a remote opportunity based in the United States, with eligibility restricted to U.S. citizens or green card holders because of federal contract requirements.

Responsibilities

• Architect and develop the foundational components, frameworks, and libraries that underpin the AI platform's core capabilities.
• Partner with cross-functional engineering teams to gather requirements and deliver platform services that let other developers build applications on top of the system.
• Collaborate with machine learning engineers to design and operate the infrastructure that runs ML workloads efficiently inside enterprise environments.
• Provide production support and hands-on troubleshooting to maintain platform stability, performance, and scalability.
• Stay current with evolving design patterns, technologies, and developer-experience practices that strengthen internal platform adoption.
• Contribute to a collaborative engineering culture grounded in psychological safety, inclusion, and technical excellence.

Requirements

• U.S. citizenship or permanent residency, required by federal contracting obligations.
• Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent practical experience.
• 5–8+ years of software and platform engineering experience, including design and operation of large-scale distributed systems.
• Deep, hands-on expertise building backend and platform infrastructure in Rust, particularly for performance‑critical services.
• Strong knowledge of database architecture and scalable data systems, covering distributed databases, storage, indexing, data modeling, and high‑throughput, low‑latency access patterns.
• Experience designing systems that support AI and machine learning workloads, with familiarity in workflow engines, execution runtimes, or AI orchestration frameworks.

Nice to have

• Prior experience in early‑stage startup or 0-to-1 product environments.
• Working familiarity with Kubernetes and container orchestration.
• Understanding of DevOps practices and CI/CD pipelines for platform deployment.

Benefits and work setup

• Fully remote position open to candidates located in the United States.
• Compensation range of $160,000–$200,000 USD, depending on experience.
• Equal opportunity employer committed to a workplace free from discrimination and harassment.