Security Software Engineer – AI & Automation

🕒 May 22

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

NerdWallet

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

💸 Finance

💳 Fintech

💰 Secondary Market on 2021-05

Finance • Fintech

NerdWallet is on a mission to help provide clarity for consumers and SMBs so they can make financial decisions with confidence. The company prides itself on cultivating an award-winning culture that fosters equity and inclusivity, allowing its employees, known as 'Nerds', to thrive. It invests heavily in its workforce through professional development and community engagement, focusing on helping the underserved and unbanked populations through its Corporate Social Responsibility programs. NerdWallet has been recognized for its positive workplace culture and commitment to making a tangible difference in the lives of consumers.

📋 Description

• 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 • 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.

🎯 Requirements

• 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 and maintaining backend services including REST APIs, authentication, authorization, rate limiting, streaming, and observability • Working knowledge of application security concepts including common vulnerability classes such as injection, broken authentication, cross-site scripting, insecure authorization, and secrets exposure; experience with threat modeling and SSDLC practices • Hands-on experience building AI-powered systems using LLM APIs, including retrieval-augmented generation (RAG) pipelines, multi-agent architectures, and semantic search; working understanding of AI-specific security risks such as prompt injection, sensitive data exposure, and secure handling of model inputs and outputs • Genuine interest in AI and how it applies to security, not just as a tool to use, but as a domain to understand deeply, including its limitations and risks • Experience developing and operating distributed systems and cloud-based environments, including message queues, NoSQL databases, AWS, containers, Kubernetes or ECS, serverless, and infrastructure as code • Understanding of caching and performance patterns including Redis, semantic caching, TTLs, and cache invalidation • Strong communication skills, able to explain complex AI and security concepts clearly to both technical and non-technical audiences, and confident advising stakeholders on tradeoffs and limitations.

🏖️ Benefits

• Monthly Healthcare Stipend • Rejuvenation Policy – Vacation Time Off + You will receive the official public holidays in your province • Paid sabbatical for Nerds to recharge, gain knowledge and pursue their interests • Monthly Wellness Stipend, Wifi Stipend, and Cell Phone Stipend • Work from home equipment stipend