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Senior Cloud Security Automation Engineer

MindlanceUnited States🇺🇸United StatesPosted 2 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
Yesterday
AWSTDDAzureBDDGitPythonTerraform

Job Description

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          .     

                                    

PlNice 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.”

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