Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Infrastructure Engineer (AI): Leading the end-to-end deployment of into diverse customer environments, including VPC and bare metal on-prem, with an accent on networking, security, and reliability constraints. Focus on designing tailored deployment strategies, building telemetry for customer-controlled environments, and codifying repeatable automation patterns.
Location: In person at the San Francisco office
Salary: $150,000 – $300,000 + Equity
Company
helps AI teams ingest real-world enterprise data by training vision models to parse unstructured documents like PDFs and spreadsheets with high accuracy.
What you will do
- Lead end-to-end deployment into customer environments (VPC to bare metal), managing planning, configuration, and rollout.
- Partner with enterprise IT, security, and platform teams to design tailored deployment strategies.
- Develop monitoring and telemetry patterns for visibility into customer-controlled environments without compromising security.
- Debug and resolve complex infrastructure issues, including K8s misconfigurations and cloud IAM edge cases.
- Establish repeatable deployment patterns, runbooks, and automation to scale customer onboarding.
- Own incident response for customer deployments with high operational excellence.
Requirements
- 5+ years of experience operating production infrastructure and deploying software into environments without full control.
- Proficiency in Python or similar languages.
- Strong expertise in Kubernetes, networking, and storage technologies.
- Ability to communicate technical solutions clearly and diagnose problems live with external platform teams.
- Must be based in or be able to work in person at the San Francisco office.
Nice to have
- Experience deploying into regulated industries such as financial services, healthcare, legal, or insurance.
- Familiarity with Replicated/KOTS, Helm, or similar enterprise distribution tooling.
- Experience with GPU infrastructure and AI/ML workload deployment on customer-controlled hardware.
- Prior experience as a founder or early hire at a high-growth startup.
Culture & Benefits
- Unlimited PTO and a dedicated health and wellness budget of $150/mo.
- Comprehensive health insurance covering medical, dental, and vision.
- Daily free lunch at the office and reimbursed transportation costs.
- Generous parental leave policies.
- Fast-paced, early-stage environment focused on technical excellence.
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