5 часов назад
Infrastructure Engineer (AI)
158 000 - 235 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI): Building and operating multi-cluster, multi-region infrastructure for an AI-powered contract intelligence platform with an accent on Kubernetes, cloud reliability, workload isolation, and enterprise security. Focus on designing failover and disaster recovery, automating infrastructure delivery with Pulumi and GitHub Actions, and debugging distributed systems across the stack.
Location: San Francisco, United States; on-site. Relocation assistance and visa and green card support are available for successful applicants moving to San Francisco.
Salary: $158K–$235K annually, with the final offer based on experience, expertise, and overall fit.
Company
builds an AI-powered contract intelligence platform used by enterprise customers to review, search, extract information from, and analyze legal contracts.
What you will do
- Operate multi-cluster, multi-region Kubernetes deployments across AWS, GCP, and Azure, including failover and disaster recovery.
- Build internal tooling for cluster provisioning and environment management with Pulumi, Docker, and GitHub Actions.
- Design workload isolation strategies for ML and API traffic while balancing cost, performance, and reliability.
- Implement enterprise security controls, including RBAC, workload identity, secrets management, data residency, and audit trails.
- Define SLOs, improve observability and uptime, automate repetitive work, and lead incident response and postmortems.
- Debug issues across APIs, workers, jobs, frontend builds, and performance to resolve end-to-end failures.
Requirements
- 2+ years of experience in infrastructure or DevOps engineering.
- Hands-on Kubernetes experience, including cluster architecture, scheduling, networking, storage, and distributed-system failure modes.
- Experience with infrastructure as code and CI/CD using Pulumi or Terraform, Docker, and GitHub Actions in multi-cluster or multi-region environments.
- Ability to translate compliance and legal requirements into infrastructure constraints.
- Strong debugging, automation, systems thinking, and incident-response skills, with enough backend and frontend range to investigate cross-stack issues.
- Ability or willingness to work on-site in San Francisco, or relocate there.
Nice to have
- Experience working in a startup environment.
- Interest in LLMs and AI infrastructure.
Culture & Benefits
- Meaningful equity in a rapidly scaling company.
- Medical, dental, and vision plans, plus HSA, FSA, and life insurance.
- 401(k) program and commuter benefits.
- Unlimited PTO.
- Downtown San Francisco office with catered lunch, snacks, coffee, an in-building gym, and a dog-friendly environment.
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