обновлено 18 часов назад
Senior Infrastructure Engineer (AI)
190 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Infrastructure Engineer (GCP/Kubernetes): Building and scaling secure, highly available cloud infrastructure and DevOps systems for an AI-powered manufacturing quality platform with an accent on GCP, Kubernetes, Terraform, and CI/CD automation. Focus on designing observability and reliability practices, defining SLOs and SLIs, hardening cloud security, and supporting incident response for production systems.
Location: Remote within the United States; listed locations are New York, Chicago, San Francisco, and Seattle
Salary: $190,000–$210,000 per year, plus equity
Company
develops an AI-powered quality intelligence platform that helps industrial, aerospace, consumer, and medtech manufacturers identify and resolve quality issues and improve customer outcomes.
What you will do
- Design, build, and maintain highly available, scalable, and secure cloud infrastructure on GCP.
- Own the Kubernetes container orchestration platform and Terraform infrastructure-as-code practices.
- Build and improve CI/CD pipelines, developer tooling, and deployment automation.
- Establish observability through logging, metrics, alerting, and tracing, and lead incident response.
- Define and track SLOs and SLIs while driving reliability and continuous improvement.
- Contribute to security hardening, compliance, and cloud cost optimization.
Requirements
- 4+ years of experience in DevOps, SRE, or infrastructure engineering.
- Hands-on experience with GCP services such as Cloud Run, GKE, Cloud SQL, and Pub/Sub.
- Strong Kubernetes skills, including cluster management, networking, scaling, and troubleshooting.
- Solid experience writing modular, reusable, production-grade Terraform infrastructure.
- Experience building CI/CD pipelines, developer tooling, and observability systems using tools such as Datadog, Prometheus, or Grafana.
- Ability to participate in a shared on-call rotation for production systems.
Nice to have
- Experience using agents to accelerate delivery.
- Experience managing infrastructure for FedRAMP environments.
- Experience at a venture-backed startup.
Culture & Benefits
- Collaborative, feedback-oriented, ownership-driven environment with direct communication.
- Fast-paced work focused on meaningful manufacturing and AI applications.
- Respect for time off and personal boundaries while supporting occasional intense work on difficult problems.
- Generous time off, competitive benefits, equity, and a lunch stipend.
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