Senior DevOps Engineer — AWS, Kubernetes, AI Infra

Credit Genie

New York (NY)

Presencial

USD 150.000 - 185.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Medical insurance
Dental insurance
Vision insurance
Fitness reimbursementLifeTime Fitness
401(k) with 3.5% match
Meal program
HSA match
Life and accidental insurance
Flexible PTO

Descripción de la vacante

Credit Genie is seeking a senior DevOps/SRE engineer responsible for reliability across AWS and Kubernetes, owning deployments, observability, and compliance. You will shape internal AI infrastructure and develop new greenfield foundations for upcoming products.

The role emphasizes hands-on ownership of SOC 2, PCI-DSS, and production-grade systems with a strong backend engineering background and AI tooling experience.

Formación

  • Requires deep DevOps/SRE expertise with a strong backend engineering background and production experience in AWS, Kubernetes, and Terraform.
  • Candidates must be willing to take hands-on ownership of compliance work and ideally have experience with AI/LLM tooling.

Responsabilidades

  • Own reliability, deployments, and observability across AWS and Kubernetes environments.
  • Manage SOC 2 and PCI-DSS compliance.
  • Build and extend internal AI infrastructure and develop greenfield infrastructure for new product foundations.

Conocimientos

DevOps
SRE
Observability
AI Infrastructure
Networking

Herramientas

AWS
Kubernetes
Terraform
OpenTofu
Datadog
CI/CD
AWS CDK
TypeScript
Python
Kotlin

Descripción del empleo

Credit Genie is seeking a senior DevOps/SRE engineer responsible for reliability across AWS and Kubernetes, owning deployments, observability, and compliance. You will shape internal AI infrastructure and develop new greenfield foundations for upcoming products.

The role emphasizes hands-on ownership of SOC 2, PCI-DSS, and production-grade systems with a strong backend engineering background and AI tooling experience.

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