2 дня назад
Staff Software Engineer (AI)
236 000 - 339 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI): Owning the backend infrastructure for coding agents that work with data, ensuring reliability and security at enterprise scale with an accent on AI security, containerized execution, and distributed data systems. Focus on platform architecture, AI security, and container infrastructure.
Location: US-CA-Menlo Park
Salary: $236K - $339.2K
Company
is the AI Data Cloud trusted by the world's most innovative companies.
What you will do
- Platform architecture & delivery: Design and build scalable services, APIs, and core primitives for orchestration, session lifecycle, tool execution boundaries, and ecosystem integration.
- AI security & safe execution: Threat-model agent workflows; enforce least-privilege access to customer context, safe secret/credential handling, and controls that reduce injection, tool misuse, and exfiltration risk without blocking velocity.
- Container infrastructure: Operate secure, cost-aware container execution for agents—images, isolation, limits/scheduling, networking, and production operability (warm pools, cold starts, rollouts).
- Distributed data systems: Build and evolve data-intensive platform components with strong observability and capacity discipline.
- Leadership & production excellence: Drive cross-team execution through design docs and mentorship; define SLOs, incident patterns, and rollout practices; stay hands-on in code.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 8+ years shipping distributed systems / backend platform software in production, with Staff-level scope.
- Production experience with container orchestration and distributed data systems.
- Strong security fundamentals for cloud services plus practical judgment for AI/agent risks.
- Proficiency in Go and/or comparable backend languages; ability to contribute in TypeScript and/or Python as needed.
- Strong communication skills and ability to collaborate effectively in a team environment.
Nice to have
- Multi-tenant SaaS, workflow orchestration, or high-throughput async systems at scale.
- Sandboxed execution, LLM serving/streaming patterns, or deep platform integration experience.
Culture & Benefits
- Culture that’s all in on impact, innovation, and collaboration.
- Building big, moving fast, and taking technology — and careers — to the next level.
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