10 часов назад
Infrastructure Engineer (AWS/Kubernetes)
160 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AWS/Kubernetes): Building and operating secure, scalable cloud infrastructure for a production AI platform with an accent on Kubernetes, Infrastructure-as-Code, CI/CD, and observability. Focus on designing reliable AWS systems, automating infrastructure delivery, defining SLI/SLOs, leading incident response, and preparing systems for SOC 2 and GDPR compliance.
Location: On-site in New York, NY, United States. The posting also lists the location type as remote.
Base salary: $160,000–$200,000 USD annually.
Company
Early-stage AI-native B2B SaaS company building a production AI platform for enterprise retail brands.
What you will do
- Architect, build, and maintain secure, scalable AWS infrastructure using Terraform and Terragrunt.
- Design and operate CI/CD pipelines and automate manual infrastructure workflows.
- Own production reliability through observability, SLI/SLO definition, and incident response.
- Implement GitOps workflows, strong IAM practices, secrets management, and compliance-ready infrastructure.
- Optimize cloud costs while maintaining performance and reliability at scale.
- Build developer tooling and documentation, mentor engineers, and help shape infrastructure strategy.
Requirements
- 5+ years of hands-on infrastructure engineering experience across compute, networking, storage, and observability.
- Expert-level, production-active Kubernetes experience, preferably with EKS, within the last 12 months.
- Production experience managing AWS infrastructure for B2B SaaS products.
- Deep hands-on expertise with Terraform and/or Terragrunt.
- Experience designing and maintaining CI/CD pipelines end to end.
- Experience with monitoring, logging, and observability platforms such as Prometheus, ELK, or Datadog.
Nice to have
- Experience working at VC-backed startups or mid-sized technology companies.
Culture & Benefits
- High-ownership infrastructure role with direct influence on platform stability and engineering speed.
- Close collaboration with backend and machine learning engineers.
- Full-time position in the Engineering department.
- Visa sponsorship is not available.
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