> Markdown version of [/jobs/ext/2585422-full-stack-engineer-agentic-security-platform](https://www.wearedevelopers.com/jobs/ext/2585422-full-stack-engineer-agentic-security-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - Agentic Security Platform - **Company:** American CyberSystems - **Location:** Charlotte, NC, United States - **Salary:** $187,200.0 - $197,600.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Cloud Engineering, Software Quality, Code Review, Data Governance, Distributed Systems, Issue Tracking Systems, Intrusion Detection and Prevention, Service-Oriented Architecture, Security Information and Event Management, Software Construction, Software Engineering, Systems Integration, TypeScript, Web Applications, Enterprise Data Management, Data Logging, ReactJS, Large Language Models, Snowflake, Multi-Agent Systems, Generative AI, Backend, Rate Limiting, Event Driven Architecture, Cortex XSOAR Platform, Data Management, Front End Software Development, Asynchronous Programming, Api Design, Splunk, Databricks, Web Api, Microservices - **Published:** August 21, 2026 - **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1022401&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted ## About the Role * Strong full-stack software engineering experience with expertise across both frontend and backend development. * Advanced Python development skills with experience in API design, service architecture, data modeling, and distributed systems. * Hands-on experience developing modern web applications using JavaScript/TypeScript frameworks such as React or equivalent technologies. * Experience building or integrating applications leveraging LLMs, Generative AI, AI Agents, prompt-driven services, and structured output validation. * Strong understanding of agent orchestration, AI workflow management, and enterprise AI application development. * Experience integrating third-party APIs, enterprise platforms, security tools, ticketing systems, or identity management solutions. * Knowledge of asynchronous programming, event-driven architectures, microservices, and cloud-native application development. * Ability to work effectively in environments with evolving priorities and ambiguous requirements. * Experience within cybersecurity domains such as SOC Operations, SIEM, DLP, Detection Engineering, or Threat Investigation is highly preferred. * Exposure to MCP (Model Context Protocol), tool-calling frameworks, or related AI integration patterns is a plus. * Experience building evaluation frameworks, replay systems, testing infrastructure, or observability solutions for AI/LLM applications is preferred. * Familiarity with Databricks, Snowflake, lakehouse architectures, or large-scale enterprise data platforms is a plus. * Strong commitment to software engineering best practices, code reviews, testing, documentation, and secure software development. ## Description As a Full Stack Engineer - Agentic Security Platform, you will: Day-to-Day Responsibilities: * Design and develop an enterprise-scale Agentic Security Operations Center (SOC) platform supporting AI-driven security investigations and response workflows. * Build backend services for agent orchestration, workflow execution, state management, and multi-agent collaboration. * Develop integrations with enterprise security tools including Splunk, XSOAR, DLP, EDR, identity management systems, and data platforms. * Create secure APIs, data contracts, evidence models, and recommendation frameworks that enable auditable AI-driven decision making. * Implement evaluation, replay, testing, and monitoring capabilities to measure agent performance, accuracy, and operational effectiveness. * Build analyst-facing applications, case review interfaces, dashboards, and reporting solutions using modern frontend technologies. * Develop platform features including tool gateways, query validation, data governance controls, rate limiting, and activity logging. * Collaborate closely with architects, security leaders, AI engineers, and product teams to transform platform designs into production-ready solutions. * Ensure applications meet enterprise standards for scalability, security, compliance, reliability, and maintainability. * Leverage AI-assisted development tools while maintaining ownership of architecture, code quality, testing, and engineering best practices. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Watch Tests Go Brrrr! 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