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At NerdWallet, we're building tools and experiences that help people make smarter financial decisions. As a Security Software Engineer focused on AI and Automation, you'll help strengthen the security, reliability, and trust behind those experiences by designing AI-powered security systems that make secure software development more scalable and effective across our engineering organization. In this role, you'll partner closely with security engineering and infrastructure teams to build automation and AI-powered solutions that help identify vulnerabilities, improve security reviews, and reduce risk across our platforms. You'll take ownership of security engineering initiatives that combine software development, AI systems experience, and security-first thinking to solve meaningful problems at scale. You'll have room to bring new ideas, influence how AI and automation practices evolve at NerdWallet, and shape the future of security tooling within a team that values curiosity, informed risk-taking, and thoughtful problem-solving. This role reports to the AI Security Manager. PROJECTS YOU MAY BE WORKING ON IN THIS POSITION INCLUDE: - Designing and building multi-agent LLM systems and routing logic that automate threat modeling, security design review, policy Q&A, and vulnerability analysis at scale - Developing retrieval-augmented generation (RAG) pipelines and semantic search systems across large code and documentation repositories - Creating automated code review capabilities that help identify insecure patterns and improve software quality earlier in the development lifecycle - Designing integrations with tools such as GitHub, Slack, Jira, Confluence, and cloud platforms to embed security guidance into everyday engineering workflows - Developing REST APIs and platform services with authentication, authorization, rate limiting, observability, and secure handling of sensitive data - Designing and maintaining scalable data processing pipelines for large codebases and document repositories, including extraction, indexing, stream processing, batch jobs, and parallel execution - Improving AI application security through controls such as prompt injection prevention, sensitive data filtering, supply chain security, and secure handling of model inputs and outputs - Enhancing NerdWallet's secure software development lifecycle (SSDLC) through automation, tooling, and developer-friendly security practices - Partnering with engineering teams to prioritize and remediate application and infrastructure security risks - Supporting incident response and on-call needs by contributing security engineering expertise, tooling, automation, and analysis when security issues arise - Identifying new opportunities for automation and AI augmentation across the security team, bringing fresh eyes and independent thinking to a growing backlog of high-impact work WHERE YOU CAN MAKE AN IMPACT: - Serve as technical lead on high-priority initiatives, taking ownership of technically complex work and collaborating across teams to deliver practical, measurable security outcomes - Help shape how AI and automation are securely adopted across NerdWallet's engineering ecosystem - Build tools and platforms that make security more accessible, scalable, and actionable for development teams - Improve the speed and quality of security reviews through thoughtful automation and security-first design - Strengthen customer trust by helping protect NerdWallet's products, systems, and sensitive data - Serve as an internal subject matter expert on AI and automation, advising on appropriate use cases, limitations, and risks to both technical and non-technical stakeholders YOUR EXPERIENCE: - 3+ years of software engineering or security engineering experience - Strong proficiency in Python or Go for building production-grade backend services, APIs, and data pipelines; comfort moving between languages is expected - Experience building