Senior AI Ops / DevOps Engineer

Intone Inc; Atlanta, Northern (GA, KY); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Intone Inc. is hiring a Senior AI Ops / DevOps Engineer for a 6+ month contract based in Atlanta, GA.

The role focuses on designing, deploying, and managing scalable cloud infrastructure with emphasis on AI/LLM integration, CI/CD automation, and DevSecOps best practices. Responsibilities include building CI/CD pipelines, managing AWS/Azure/GCP environments, operating Kubernetes clusters (EKS/AKS/GKE), and implementing IaC across Terraform/OpenTofu/Pulumi.

Qualifications

• Minimum 7+ years in DevOps/Cloud/SRE/Platform Engineering or related fields.
• At least 4+ years designing and managing CI/CD pipelines with GitHub Actions, GitLab CI, CircleCI, Jenkins, or ArgoCD.
• Minimum 3+ years managing scalable cloud environments in AWS, Azure, or GCP.
• Strong Kubernetes, Docker experience and production container orchestration (EKS/AKS/GKE).
• Proficient with Infrastructure as Code tools (Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, Crossplane).
• Programming/scripting in Python, TypeScript, JavaScript, Bash, or Go.
• Hands-on with LLM APIs (OpenAI, Anthropic) and AI orchestration frameworks.
• Experience with MCP clients/servers and Model Context Protocol ecosystem.
• DevSecOps controls: SAST, DAST, dependency scanning, container scanning, secrets scanning, vulnerability mgmt.
• Secret management expertise (Vault, AWS Secrets Manager, Azure Key Vault).
• Observability stack: Datadog/Prometheus/Grafana/CloudWatch/ELK; strong debugging skills.

Responsibilities

• Design and manage CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, or ArgoCD.
• Deploy and manage scalable cloud environments on AWS, Azure, or GCP with reliability and cost focus.
• Build and manage Kubernetes clusters and container orchestration platforms (EKS/AKS/GKE).
• Implement Infrastructure as Code with Terraform/OpenTofu/Terragrunt/Pulumi/CloudFormation/Crossplane.
• Integrate LLM APIs and AI orchestration into DevOps workflows and platform infra.
• Design and integrate MCP clients and servers for AI-driven automation.
• Implement DevSecOps controls including SAST, DAST, scanning, secrets management, and vulnerability mgmt.
• Manage secrets using Vault, AWS Secrets Manager, or Azure Key Vault.
• Configure observability and alerting with Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
• Troubleshoot complex issues across CI/CD, infrastructure, deployments, and production environments.
• Ensure compliance with security and audit frameworks (SOC2, ISO27001, enterprise controls).

Skills

CI/CD

Kubernetes

Docker

Python

TypeScript

JavaScript

Bash

Go

LLM APIs

AI orchestration

MCP

Observability

Security tooling

Tools

GitHub Actions

GitLab CI

CircleCI

Jenkins

ArgoCD

AWS

Azure

GCP

Terraform

OpenTofu

Terragrunt

Pulumi

CloudFormation

Crossplane

HashiCorp Vault

Datadog

Prometheus

Grafana

CloudWatch

ELK

OpenAI

Anthropic

LangChain

Job description

We are hiring a Senior AI Ops / DevOps Engineer for a contract position based in Atlanta, Georgia. This is a 6+ month engagement focused on designing, deploying, and managing scalable cloud infrastructure with a strong emphasis on AI/LLM integration, CI/CD automation, and DevSecOps best practices.

Responsibilities

• Design and manage CI/CD pipelines using modern tools such as GitHub Actions, GitLab CI, CircleCI, Jenkins, or ArgoCD
• Deploy and manage scalable cloud environments on AWS, Azure, or GCP, with focus on production-grade reliability and cost optimization
• Build and manage Kubernetes clusters and container orchestration platforms including EKS, AKS, or GKE
• Implement and maintain Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane
• Integrate LLM APIs and AI orchestration frameworks into DevOps workflows and platform infrastructure
• Design and integrate Model Context Protocol (MCP) clients and servers to support AI-driven automation
• Implement DevSecOps controls including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management
• Manage and secure secrets using HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or equivalent platforms
• Configure observability, monitoring, logging, and alerting using platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK
• Troubleshoot and resolve complex issues across CI/CD pipelines, infrastructure, deployments, and production environments
• Ensure compliance with security and audit frameworks such as SOC2, ISO27001, and enterprise control environments

Qualifications

• Required
  • Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation
  • Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms
  • Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or GCP
  • Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE
  • Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane
  • Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go
  • Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms
  • Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools
  • Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers
  • Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management
  • Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms
  • Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK
  • Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments
• Preferred
  • Strong preference for AWS experience
  • Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit