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Senior Cloud Security Automation Engineer

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Mindlance · Charlotte, NC · Contract

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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

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