6 часов назад
DevOps Engineer (AI)
183 000 - 248 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (AI): Improving the reliability and operational health of the production systems powering Flux’s AI hardware engineering platform with an accent on observability, SLOs/SLIs, and resilient cloud infrastructure. Focus on managing Pulumi infrastructure across GCP, AWS, and Firebase, building internal tooling, and solving complex production incidents across distributed services.
Location: San Francisco office; on-site
Salary: $183K–$248K annually plus equity
Company
is building an AI hardware engineering platform that turns natural-language prompts into manufacturable circuit boards.
What you will do
- Improve the reliability, availability, and operational health of production systems supporting billing, authentication, onboarding, and integrations.
- Define observability standards for metrics, logs, and errors across services.
- Set SLOs and SLIs, design alerting strategies, and improve on-call readiness and signal quality.
- Partner with engineers to design resilient systems and reduce operational risk.
- Build internal tooling for safer systems, faster debugging, and improved developer velocity.
- Manage infrastructure with Pulumi across GCP, AWS, and Firebase.
Requirements
- 5+ years of experience in SRE, DevOps, or production operations.
- Experience operating and scaling production systems against uptime and latency goals.
- Hands-on experience with observability tools such as Datadog and Sentry.
- Experience defining SLOs/SLIs, building alerting strategies, and responding to incidents.
- Proficiency with CI/CD, infrastructure as code, and cloud-native or serverless platforms including GCP and AWS.
- Strong cross-system debugging skills.
Nice to have
- Experience with distributed cloud tracing across Datadog, Sentry, and GCP tracing.
- Familiarity with Cloud Run, Firebase, Lambda, and other containerized or serverless workloads.
- Experience with TypeScript, Node, and React, or willingness to learn them.
- Experience supporting AI-powered systems, high-variance workloads, or startups during rapid growth.
Culture & Benefits
- Impact-oriented environment focused on delivering real value to users.
- Collaborative culture that encourages early discussion, debate, and creative problem-solving.
- AI-first approach with ongoing experimentation in tools, techniques, and processes.
- Ownership-oriented environment that values initiative and bias toward action.
- Equity is included in the compensation package.
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