Senior DevOps Engineer AWS/Kubernetes, AI Infra, Compliance

Credit Genie; Philadelphia (Philadelphia County); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Fitness reimbursement

LifeTime Fitness or Equinox membership

401k with 3.5% match

Meal program

HSA match

Life and accidental insurance

Flexible PTO

Job summary

Credit Genie is seeking an experienced DevOps/SRE professional to own reliability, deployments, and observability across AWS and Kubernetes while ensuring SOC 2 and PCI-DSS compliance. You will build and extend internal AI infrastructure and create greenfield infrastructure for new product foundations.

The role requires deep DevOps/SRE expertise with a strong backend engineering background and production experience with AWS, Kubernetes, and Terraform, preferably in early-stage startups.

Qualifications

• Requires deep DevOps/SRE expertise with a strong backend engineering background and production experience with AWS, Kubernetes, and Terraform.
• Experience in early-stage startups and a willingness to own compliance work are essential.

Responsibilities

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

Skills

AI Infrastructure

Observability

CI/CD

OpenTelemetry

Infrastructure as Code

Python

TypeScript

Kotlin

Node.js

Datadog

Tools

AWS

Kubernetes

Terraform

OpenTofu

AWS CDK

Job description

Credit Genie is seeking an experienced DevOps/SRE professional to own reliability, deployments, and observability across AWS and Kubernetes while ensuring SOC 2 and PCI-DSS compliance. You will build and extend internal AI infrastructure and create greenfield infrastructure for new product foundations.

The role requires deep DevOps/SRE expertise with a strong backend engineering background and production experience with AWS, Kubernetes, and Terraform, preferably in early-stage startups.