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Senior Cloud Security Automation Engineer
Mindlance
🇨🇦 Canada | 🇺🇸 United States
Remote
Senior
4 weeks ago
- AI
- Python
- Terraform
- Wiz
- CrowdStrike
- Azure
- Foundry
- AWS Bedrock
- Claude
- Claude Code
- AWS
- MCP
- Model Context Protocol
- Vulnerability Management
- Incident Response
- Git
- CI/CD
- Test-Driven Development
- TDD
- BDD
- Devops
4 weeks ago
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.”
Senior Cloud Security Automation Engineer · Mindlance