QA Automation Engineer

• Develop, test, deploy, monitor, and maintain Python-based security automation solutions.
• Partner with cybersecurity teams to understand operational challenges, clarify ambiguous requirements, document solution designs, align with stakeholders, and validate functionality.
• Build Python applications, services, APIs, workflows, internal tools, integrations, and reusable libraries.
• Develop API-driven integrations across security tools, cloud platforms, authentication systems, source code platforms, third-party services, and internal technologies.
• Build security and compliance automation that collects, compares, validates, and acts on data.
• Develop and support AI-enabled security automation using large language models and Model Context Protocol (MCP), including secure integrations, AI governance controls, and usage guardrails.
• Contribute to agentic security capabilities, including automated source-code analysis for vulnerabilities, exposed secrets, and infrastructure-standard compliance.
• Use AI-assisted development tools for coding, debugging, automated testing, documentation, and refactoring while validating generated output.
• Troubleshoot application code, APIs, identity and authentication, cloud infrastructure, data flows, and automation runtime environments.
• Collaborate through code reviews, operational support, shared tooling, reusable modules, engineering documentation, and development practices that improve security, reliability, maintainability, compliance, and governance.

Explore Security Automation Engineer at Empower. Review requirements and application details.