AI Infra Lead: Scalable FinTech DevOps

PLP Group; New York, Northern (NY, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Domyn is seeking a Senior DevOps Engineer in the United States to lead deployment and scaling of AI solutions for financial workflows. You will drive infrastructure across cloud and on‑prem environments, ensuring secure, reliable, and high‑performing systems that power enterprise AI.

You will collaborate with engineering, product, and customer teams to streamline continuous delivery of software and AI models using Argo CD, GitHub Actions, and robust monitoring.

Qualifications

• 6+ years of DevOps or SRE experience in distributed systems.
• Expert-level Kubernetes (EKS, GKE, AKS) and cloud experience (AWS/GCP/Azure).
• Proficiency with Terraform or Ansible for reproducible infra.
• Experience building complex pipelines with Jenkins, Argo CD, or GitLab CI.
• Scripting in Bash and Python; strong communication skills.

Responsibilities

• Infrastructure leadership across cloud and on‑prem environments.
• Build and support HPC clusters for model training and inference.
• Design and implement robust CI/CD pipelines (Argo CD, GitHub Actions).
• Define SLOs/SLIs and implement monitoring (Datadog, Prometheus, Grafana).
• Enforce DevSecOps practices, IAM, network security, and compliance automation.
• Oversee production databases (Postgres, Vector/Graph DB).

Skills

Kubernetes

Docker

Cloud platforms

Terraform/Ansible

CI/CD tooling

Monitoring/Observability

Networking/IAM

Scripting (Bash/Python)

Security/DevSecOps

Tools

Argo CD

GitHub Actions

Jenkins

GitLab CI

Datadog

Prometheus

Grafana

ELK

Job description

Domyn is seeking a Senior DevOps Engineer in the United States to lead deployment and scaling of AI solutions for financial workflows. You will drive infrastructure across cloud and on‑prem environments, ensuring secure, reliable, and high‑performing systems that power enterprise AI.

You will collaborate with engineering, product, and customer teams to streamline continuous delivery of software and AI models using Argo CD, GitHub Actions, and robust monitoring.