обновлено 5 дней назад
Cloud Platform Architect (AI)
245 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Cloud Platform Architect (AI): Architecting and operating a next-generation internal developer platform for production AI inferencing across multi-cloud and on-premise environments with an accent on Kubernetes, Terraform, networking, and platform reliability. Focus on building highly available infrastructure for advanced AI workloads, connecting hybrid environments, and creating golden paths that accelerate engineering delivery.
Location: Austin, Texas, United States, or San Jose, California, United States
Salary: $245,000–$325,000 USD base salary per year
Company
develops a full-stack generative AI platform combining specialized AI hardware, open-source models, and cloud or on-premise deployment.
What you will do
- Architect, build, and maintain an internal developer platform for cloud and on-premise infrastructure.
- Design and manage Terraform modules across AWS, GCP, and Azure.
- Build and operate highly available, secure Kubernetes clusters for AI workloads.
- Design networking solutions including VPCs, load balancers, firewalls, and service meshes across multi-cloud and hybrid environments.
- Collaborate with AI and software engineering teams to create golden paths, internal tools, and production workflows.
- Implement monitoring, logging, and tracing practices and participate in the on-call rotation.
Requirements
- 7+ years of experience in DevOps, SRE, or cloud infrastructure roles.
- Proficiency in at least one programming language such as Python, Go, or Rust.
- Production expertise with Kubernetes, including pods, operators, CRDs, and CNIs.
- Strong Infrastructure as Code skills and experience managing complex multi-cloud environments.
- Strong proficiency with AWS, GCP, or Azure and understanding of compute, storage, networking, and IAM services.
- Knowledge of TCP/IP, DNS, HTTP, load balancing, and cloud security best practices.
Nice to have
- Experience bridging cloud and on-premise or data center infrastructure.
- Experience managing infrastructure for data-intensive or ML/AI workloads.
- Knowledge of CI/CD tools such as GitLab CI, Jenkins, or ArgoCD.
- Experience with Istio, Linkerd, or other service mesh technologies.
- Open-source contributions or a public code portfolio.
Culture & Benefits
- Work on a production inferencing platform serving AI models across the United States, Asia, Europe, and Latin America.
- Full-time US benefits include medical, dental, vision, disability, life, AD&D, HSA, and FSA options.
- Medical insurance premiums are covered at 95% for employees and 77% for dependents.
- Additional well-being benefits include Headspace, Gympass+, One Medical, and counseling services.
- Total rewards include base salary, equity, and benefits.
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