Senior Cloud Security Automation Engineer

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. The ideal candidate combines strong Python engineering skills, deep cloud experience, and a practical understanding of security operations to deliver scalable, reliable automation.

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.”