DevOps Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
DevOps Engineer (AI): Scaling, securing, and hardening the infrastructure powering Gen AI-driven code reviewers with an accent on CI/CD pipelines, infrastructure as code, and system reliability. Focus on optimizing distributed systems architecture and supporting AI/ML workloads in production.
Location: Hybrid (San Francisco) - Collaborate in person in the Bay Area weekly
Salary: $160k – $215k + Equity
Company
is an innovative R&D company building Gen AI-driven code reviewers to create a symbiotic partnership between humans and advanced algorithms.
What you will do
- Design, implement, and maintain scalable CI/CD pipelines and deployment workflows.
- Develop and manage infrastructure as code using Terraform and Pulumi.
- Improve system reliability through monitoring, alerting, logging, and failover strategies.
- Collaborate with backend and ML teams to identify and resolve performance bottlenecks.
- Ensure robust infrastructure security and compliance practices.
Requirements
- 3-5 years of experience in DevOps, Infrastructure, or SRE roles at a fast-paced tech company or startup.
- Expert-level proficiency with Kubernetes, Docker, and CI/CD systems like GitHub Actions and ArgoCD.
- Expertise with AWS/GCP, distributed systems, and secrets management (Vault, SSM).
- Strong understanding of observability tools such as Grafana, Prometheus, ELK, or Datadog.
- Must be based in the Bay Area for weekly in-person collaboration.
Nice to have
- Experience supporting AI or ML workloads in production.
- Experience with ephemeral environments and preview deployments.
- Contributions to internal platform tools or DevOps open-source projects.
Culture & Benefits
- Direct ownership of projects from proposal to production.
- Competitive compensation package including salary and equity.
- Hybrid work culture with flexibility for focused remote work.
- Professional growth through mentorship and high-impact responsibilities.
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