Note: The job is a remote job and is open to candidates in USA. NowSecure is the mobile app security software company trusted by the world’s most demanding organizations and most advanced security teams. They are seeking a Senior Agentic Security Automation Engineer who will design workflows and build automation frameworks to enhance security testing capabilities through technology. The role involves developing systems for autonomous analysis of applications and collaborating with teams to improve security methodologies.
Responsibilities
- Architect, build, and deploy advanced AI agents capable of autonomous reasoning, decision-making, and security analysis
- Design and implement multi-step agentic workflows that replicate and scale expert security testing methodologies
- Develop systems capable of analyzing applications on desktop software, IoT devices, APIs, and emerging technology platforms, building off the expertise of our best-of-breed mobile security testing
- Create autonomous and human-in-the-loop workflows that balance scale, accuracy, and trust
- Develop reusable tools, skills, prompts, workflows, MCP servers, and agent orchestration infrastructure
- Integrate static and dynamic analysis, reverse engineering and decompilation, network analysis, vulnerability intelligence, and custom security tooling into agent workflows, including the kind of instrumentation that powers Frida-style runtime analysis
- Design systems that allow security expertise to be reused and continuously improved over time
- Stay current on advancements in agentic AI, offensive security, software assurance, and autonomous systems
- Prototype and evaluate new approaches for increasing the scale and depth of security testing
- Collaborate with security analysts and researchers to convert offensive security methodologies into scalable automation
Skills
- Coding experience in Python, JavaScript, or TypeScript. You don't need to be an expert. You do need to write clean, production-quality code and reliably pick up what you don't already know
- A security background. An offensive security background (penetration testing, application security, security consulting, or research) is ideal, but a solid security background of any kind will serve you well here
- Curiosity and aptitude for AI. Hands-on experience building with LLMs (Claude, GPT, Gemini, or similar), agentic frameworks, or Retrieval-Augmented Generation (RAG) is a real advantage, but the ability and drive to learn it fast matters just as much
- U.S. citizenship. This role supports U.S. government work and requires U.S. citizenship
- Demonstrable experience building agentic workflows with LangGraph, Semantic Kernel, AutoGen, the OpenAI Agents SDK, or similar, including multi-agent systems and autonomous execution pipelines
- Experience integrating telemetry from multiple security tools (e.g., Zscaler, iVerify, Omnissa) into a unified analysis engine or detection pipeline, and correlating those signals to proactively surface attempted or successful attacks
- Production experience with tool/function calling, structured outputs, prompt engineering, context management, and evaluation frameworks
- Experience with Java, Go, or additional languages
- Production engineering and MLOps: scalable APIs and services, Docker/Kubernetes, CI/CD, observability, and one of AWS, Azure, or GCP
- Mobile or desktop application security testing experience
- Reverse engineering experience
- Experience building MCP servers
- Experience training or fine-tuning machine learning models
- A track record of building custom security tools
- Contributions to open-source security or AI projects
- Experience supporting both commercial and U.S. government customers (a real plus)
- Published security research, presentations, or conference talks
Benefits
- Eligibility for bonuses
- Equity grants
- Comprehensive benefits package that includes health insurance
- 401k with company match
- Paid parental leave
- Home Office Stipend
- Flexible PTO
- Remote-first work environment
Company Overview