Senior Cloud Security Automation Engineer

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

Business Initiative/Purpose: (Goal, Business Impact, Accomplishments from the work)

• We are seeking a Senior Cloud Security Automation Engineer to design, build, and operate AI-driven automation and agent-based systems for cloud and information security operations. This role focuses on developing production-grade services that ingest, analyze, and act on security data across cloud environments and security platforms. The ideal candidate combines strong Python engineering skills, deep cloud experience, and a practical understanding of security operations to deliver scalable, reliable automation. We are looking for someone that also has audit and remediation plan experience from a technical perspective..

Bachelor Degree: (Required, Preferred or Not Required)

• Required.

Role Responsibilities: (what they will be doing)

• Design and develop cloud security automation and AI agents using Python and Terraform.
• Build and maintain scalable data ingestion pipelines from security platforms, including:
• Cloud security posture and configuration tools (e.g., Wiz)
• Endpoint and threat detection platforms (e.g., CrowdStrike)
• SOC tools, alerting systems, and security event sources
• Implement agent workflows using Azure Foundry, AWS Bedrock, Claude Agent SDK, Claude Code, and Agent Core.
• Integrate automation and agents into an Agent365 control plane.
• Develop logic to support vulnerability detection, prioritization, and remediation workflows.
• Deploy, scale, and monitor automation services using AWS-native services.
• Integrate and process security data from Microsoft Azure environments as required.
• Write clean, testable, and maintainable Python code suitable for production environments.
• Use AI-assisted coding tools responsibly within established SDLC and security best practices.
• Collaborate with security, platform, and product teams to translate security requirements into automated solutions.
• Design, deploy, and integrate MCP (Model Context Protocol) servers to provide secure, structured access to external tools, APIs, and security systems.

Must Have Skills/Prior Experiences: (Vendor should not submit any candidate that does not have these skills/prior experience.)

• Bachelor’s or Master’s degree and five years of experience in computer science or equivalent.
• Strong experience building production systems.
• Hands-on experience with Azure/AWS, including deploying and operating backend services.
• Familiarity with cloud security concepts, such as:
• Vulnerability management
• Cloud security posture management (CSPM)
• Threat detection and incident response
• Experience integrating with third-party APIs and data collectors and MCP services.
• Solid understanding of software engineering best practices, including:
• Version control (Git)
• Code reviews
• Testing and CI/CD
• Secure coding practices .

Plus/Nice to Have Skills/Prior Experiences: (Hiring Manager DOES NOT require these skills/ prior experience. However, candidates with any of these will be looked at first.)

• 5+ years of cloud security experience.
• 1+ years of AWS security experience.
• 3+ year of Azure security experience.
• 1+ year of experience with modern agentic development tools (e.g., Claude Code).
• Experience with Test-Driven Development (TDD), Behavior-Driven Development (BDD), and spec-driven development.
• 3+ years of DevOps experience.

EEO:

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”