QA Automation Engineer

• Implement and scale our Model Context Protocol (MCP) to support secure, composable AI workflows across Slack, Jira, Salesforce, and internal APIs.
• Design agentic systems that enable AI tooling to integrate seamlessly with operational data and user identity services.
• Author requests for comments (RFCs), technical requirements documents (TRDs), and internal documentation to align multi-channel platform (MCP) features with enterprise use cases.
• Build and maintain scalable automations and secure APIs to reduce operational overhead in onboarding, provisioning, and data lifecycle management.
• Own development and maintenance of reusable modules for identity sync, data uploads (e.g., CSV bulk importers), and AI-to-API orchestration.
• Drive continuous improvement across automation platforms by collaborating with stakeholder teams across the business.
• Work with InfoSec and IT teams to enforce role-based access controls and SAML/SSO integrations
• Harden identity workflows across US and EU regions, ensuring compliance with internal and external standards.
• Support audit readiness through traceable change management and data integrity practices.
• Attend Business Systems standups, Architecture Roundtables, and AI working groups to ensure engineering solutions align with company goals.
• Partner closely with stakeholders to balance speed and safety in fast-moving pilot initiatives.
• Advocate for test-driven development (TDD), documentation, and open source-inspired code reusability.

AI Automation Engineer

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Senior Security Automation Engineer – SOAR

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