AI & Automation Engineer

The Cyber Security Engineering team is seeking a dynamic AI & Automation Engineer to build and support the critical technologies that enable our Information Security and Incident Response teams. Operating in a highly collaborative, hybrid Agile/Scrum environment, you will leverage Python and Golang to develop robust scripting, orchestrate tasks within Cortex XSOAR, and streamline complex security operations. Beyond traditional SOAR engineering, you will play a pivotal role in our AI enablement journey by exploring, securing, and implementing cutting-edge technologies like Retrieval-Augmented Generation (RAG), Agent-to-Agent communications, and the Model Context Protocol (MCP). We are looking for a strong software engineer with a passion for learning emerging AI concepts who can effectively partner with cross-functional teams to automate our defenses and accelerate incident response.  Responsibilities: • Automation Script Development:  Write, maintain, and optimize efficient scripts using Python and Golang to automate routine security and incident response tasks. • SOAR Platform Orchestration:  Develop and manage playbooks, workflows, and integrations within the Cortex XSOAR platform to accelerate incident resolution. • Cross-Functional Collaboration:  Partner closely with security analysts and cross-functional stakeholders to gather requirements and deliver impactful solutions. • Agile Sprint Participation:  Actively engage in daily stand-ups, sprint planning, and retrospectives to ensure continuous delivery within our Agile framework. • AI Implementation Support:  Assist in designing and implementing emerging AI technologies, including RAG architectures, to enhance security team capabilities. • Agent Communication Design:  Build and test reliable Agent-to-Agent communication workflows that support intelligent, automated decision-making processes. • MCP Integration Support:  Assist in the development, integration, and security of the Model Context Protocol (MCP) to standardize our AI interactions. • API Integration Management : Connect disparate internal systems and third-party security tools using robust RESTful API integrations. • Continuous Technology Learning:  Dedicate time to researching and experimenting with the latest advancements in AI and automation to identify new operational efficiencies. • Code Testing Review:  Conduct peer code reviews and implement automated testing to maintain a high-quality, secure, and reliable codebase. • Technical Documentation Creation:  Create and maintain comprehensive documentation for developed scripts, playbooks, and AI integrations to ensure team-wide knowledge sharing. Required: • Bachelor's degree in Computer Science, Software Engineering, or a closely related field plus 5 years’ experience; Or Master’s Degree plus 4 years’ experience. • Respective years of related work experience in software engineering, automation, or integration development. • Strong proficiency in programming and scripting languages, specifically Python and Golang. • Proven experience developing and consuming RESTful APIs for complex system integrations. • Demonstrated capability and enthusiastic interest in learning new technologies, specifically in the AI space (e.g., LLMs, RAG, MCP). • Experience working effectively within an Agile/Scrum development methodology. • Excellent cross-functional collaboration and communication skills, with the ability to translate operational needs into technical solutions. • Solid understanding of software development lifecycles, version control (e.g., Git), and code testing principles. • Ability to work successfully in a hybrid work environment. Preferred: • Hands-on experience with Cortex XSOAR or similar SOAR platforms (e.g., Splunk SOAR, Tines). • Prior