AI-Powered Cloud Security Automation Lead

Mindlance; Charlotte (NC); On-site; USD 140,000 - 190,000; Full time

Job summary

Mindlance seeks a Senior Cloud Security Automation Engineer to design, build, and operate AI-driven automation for cloud security operations. The role focuses on production-grade services that ingest, analyze, and act on security data across cloud environments and security platforms.

You will implement agent workflows, integrate with Azure Foundry, AWS Bedrock, Claude tools, and MCP services, and collaborate with security and product teams to automate remediation and threat responses.

Qualifications

• Bachelor’s or Master’s degree in CS or equivalent.
• Five years of experience in computer science or equivalent.
• Strong experience building production systems.
• Hands-on experience with Azure/AWS deployments and operations.
• Familiarity with vulnerability management, CSPM, threat detection, and incident response.

Responsibilities

• Design and develop cloud security automation and AI agents using Python and Terraform.
• Build scalable data ingestion pipelines from security platforms and tools.
• Implement agent workflows and integrate with an Agent365 control plane.
• Develop remediation workflows for vulnerability detection and prioritization.
• Deploy, scale, and monitor automation services using AWS native services.
• Collaborate with security, platform, and product teams to translate security requirements into automated solutions.

Skills

Python

Cloud security

Production systems

Git & CI/CD

Threat detection

Automation

Education

Bachelor’s or Master’s degree in CS

Tools

Terraform

Azure Foundry

AWS Bedrock

Claude Agent SDK

Claude Code

MCP services

Agent365

Job description

Mindlance seeks a Senior Cloud Security Automation Engineer to design, build, and operate AI-driven automation for cloud security operations. The role focuses on production-grade services that ingest, analyze, and act on security data across cloud environments and security platforms.

You will implement agent workflows, integrate with Azure Foundry, AWS Bedrock, Claude tools, and MCP services, and collaborate with security and product teams to automate remediation and threat responses.