
AI & Automation Engineer
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in Illinois.
• Develop, maintain, and enhance Python and Golang scripts to automate security and incident response activities.
• Create and oversee playbooks, workflows, and integrations within Cortex XSOAR.
• Collaborate with security analysts and cross-functional teams to gather requirements and deliver effective solutions.
• Engage in daily stand-ups, sprint planning sessions, and retrospectives.
• Contribute to the design and implementation of AI technologies, including RAG architectures.
• Construct and evaluate Agent-to-Agent communication workflows.
• Aid in the development, integration, and security of the Model Context Protocol (MCP).
• Connect internal systems and third-party security tools through RESTful APIs.
• Investigate and experiment with advancements in AI and automation.
• Perform peer code reviews and establish automated testing protocols.
• Generate and keep up-to-date documentation for scripts, playbooks, and AI integrations.
• Bachelor's degree in Computer Science, Software Engineering, or a related discipline with 5 years of experience; or a Master's degree with 4 years of experience.
• Relevant experience in software engineering, automation, or integration development.
• Strong expertise in Python and Golang.
• Proven experience in developing and utilizing RESTful APIs for intricate system integrations.
• A keen interest and capacity to learn AI technologies, such as LLMs, RAG, and MCP.
• Familiarity with Agile/Scrum development methodologies.
• Excellent cross-functional collaboration and communication skills.
• Understanding of software development lifecycles, Git/version control, and principles of code testing.
• Ability to thrive in a hybrid work setting.
• Preferred: experience with Cortex XSOAR or comparable SOAR platforms.
• Preferred: knowledge of AI frameworks, RAG implementations, or Agent-to-Agent communications.
• Preferred: basic understanding of cybersecurity principles or incident response workflows.
• Preferred: familiarity with CI/CD pipelines and infrastructure-as-code deployments.
• Preferred: experience with Docker or Kubernetes.
• Paid time off (including vacation, holidays, and sick leave).
• Medical, dental, and vision insurance.
• 401(k) retirement plan.
• Short-term incentive programs.
• A hybrid work environment.
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