7 часов назад
Senior Software Engineer - Platform (Rust, AI)
170 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Platform (Rust, AI): Building foundational infrastructure, frameworks, and distributed systems for an enterprise Agentic AI platform with an accent on Rust, scalable data systems, and ML workflow execution. Focus on designing high-performance platform components, supporting AI workloads, and solving production scalability and reliability challenges with Kubernetes and Docker.
Location: Remote USA; US Citizenship or Greencard required
Salary: $170,000–$230,000 USD annually
Company
builds secure, reliable AI infrastructure for government and enterprise systems, with a focus on mission-critical platforms and human-centered workflows.
What you will do
- Design and develop foundational components and frameworks for an Agentic AI platform.
- Build platform solutions that support multiple products and engineering teams.
- Collaborate with machine learning engineers to develop infrastructure for enterprise ML workflows.
- Study and apply current design patterns, techniques, and technologies for platform and framework development.
- Provide production support, troubleshoot issues, and address performance, scalability, and reliability challenges.
Requirements
- US Citizenship or Greencard required due to US Government contract requirements.
- 5–8+ years of software and platform engineering experience with large-scale distributed systems.
- Strong experience with Rust and high-performance systems; performance-critical areas are developed in Rust.
- Experience building platform infrastructure and backend systems for multiple products and engineering teams.
- Expertise in database architecture, distributed databases, storage and indexing systems, data modeling, schema design, and high-throughput, low-latency data access.
- Experience designing systems for AI and machine learning workloads, plus familiarity with workflow engines, execution runtimes, and AI orchestration frameworks.
Nice to have
- Startup experience or comfort working in 0→1 product environments.
- Familiarity with Kubernetes.
- Understanding of DevOps practices and CI/CD pipelines.
Culture & Benefits
- Emphasis on collaboration, psychological safety, inclusion, and technical excellence.
- Growth-oriented environment focused on learning new tools and technologies.
- Work on secure AI systems supporting government and enterprise use cases.
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