23 часа назад
Infrastructure Engineer (AWS)
160 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AWS): Architecting and maintaining secure, scalable cloud infrastructure for an AI-powered consumer intelligence platform with an accent on Kubernetes, Infrastructure-as-Code, CI/CD, and production reliability. Focus on designing AWS systems, building observability and compliance-ready infrastructure, optimizing cloud costs, and leading incident response.
Location: On-site in New York, NY; the posting also lists the location type as remote.
Salary: $160,000–$200,000 USD annually.
Company
is a fast-growing AI-powered consumer intelligence platform serving enterprise retail brands.
What you will do
- Architect and build secure, scalable AWS cloud infrastructure with Terraform and Terragrunt.
- Design and maintain automated, repeatable CI/CD pipelines and champion GitOps deployment workflows.
- Own production reliability by implementing observability, defining SLI/SLOs, and leading incident response.
- Build compliance-ready infrastructure for SOC 2 and GDPR, including strong IAM and secrets management.
- Optimize cloud costs while maintaining performance and reliability at scale.
- Create developer tooling and documentation, mentor engineers, and help shape infrastructure strategy.
Requirements
- 5+ years of hands-on infrastructure engineering experience with end-to-end ownership.
- Expert-level, production-active Kubernetes experience, with EKS strongly preferred, within the last 12 months.
- Experience building and managing AWS infrastructure for B2B SaaS products.
- Deep hands-on expertise with Terraform and/or Terragrunt, plus end-to-end CI/CD experience.
- Broad experience across compute, networking, storage, monitoring, logging, and observability platforms such as Prometheus, ELK, or Datadog.
- Must be independently authorized to work in the United States; visa sponsorship is not available.
Nice to have
- Background at VC-backed startups or mid-sized companies rather than exclusively large enterprises.
Culture & Benefits
- High-ownership infrastructure role with direct influence on platform strategy.
- Close collaboration with backend and machine learning engineers.
- Work focused on secure, scalable, and highly reliable systems for enterprise retail products.
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