Senior DevOps Engineer: AI Deployments & FinTech scale

Domyn; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

Domyn is hiring a Senior DevOps Engineer to lead deployment and scaling of AI solutions for financial workflows in the US. You will ensure secure, reliable, high-performing infrastructure across cloud and on‑prem environments, with leadership across CI/CD, monitoring, and security for AI/ML workloads.

You will collaborate with engineering, product, and customer teams to streamline continuous delivery of software and AI applications, spanning AWS, GCP, Azure, and on‑prem environments.

Qualifications

• 6+ years of DevOps or SRE experience with distributed systems at scale.
• Expert-level Kubernetes (EKS, GKE, AKS) and Docker; strong cloud experience (AWS, GCP, or Azure).
• Terraform or Ansible for reproducible infrastructure.
• Experience building pipelines with Jenkins, Argo CD, GitLab CI; scripting in Bash+Python.
• Monitoring stacks and distributed tracing (Datadog, ELK, Prometheus/Grafana).
• Networking, IAM, VPC, encryption, and security best practices.

Responsibilities

• Infrastructure Leadership: architect and maintain scalable, secure infra across cloud and on‑prem environments.
• AI Operations: support HPC clusters for model training and inference.
• Continuous Delivery: implement CI/CD pipelines (Argo CD, GitHub Actions).
• Reliability Engineering: define SLOs/SLIs; ensure high availability with monitoring.
• Security & Compliance: enforce DevSecOps, IAM, network security, compliance automation.
• Database Management: manage production databases (Postgres, vector/graph DB).

Skills

Kubernetes

Docker

CI/CD pipelines

Scripting (Bash, Python)

Monitoring & observability

Cloud platforms (AWS/GCP/Azure)

DevSecOps

Distributed systems

Networking & security

Tools

Terraform

Ansible

Jenkins

Argo CD

GitHub Actions

GitLab CI

Datadog

ELK

Prometheus

Grafana

Postgres

Vector Stores

Graph Databases

Job description

Domyn is hiring a Senior DevOps Engineer to lead deployment and scaling of AI solutions for financial workflows in the US. You will ensure secure, reliable, high-performing infrastructure across cloud and on‑prem environments, with leadership across CI/CD, monitoring, and security for AI/ML workloads.

You will collaborate with engineering, product, and customer teams to streamline continuous delivery of software and AI applications, spanning AWS, GCP, Azure, and on‑prem environments.