2 часа назад
Security Software Engineer (AI and Automation)
127 000 - 207 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Security Software Engineer (AI and Automation) (Python/Go, LLM, RAG): Building AI-powered security systems, backend services, and data pipelines that automate threat modeling, security reviews, vulnerability analysis, and secure software development across NerdWallet. with an accent on multi-agent LLM systems, semantic search, application security, and scalable cloud platforms. Focus on designing secure AI controls, integrating security tooling into engineering workflows, and leading technically complex initiatives that reduce risk at scale.
Location: Remote, based in the United States
Salary: US$127,000–US$207,000 per year, plus equity
Company
builds tools and experiences that help people make smarter financial decisions.
What you will do
- Design and build multi-agent LLM systems that automate threat modeling, security design reviews, policy Q&A, and vulnerability analysis.
- Develop RAG pipelines, semantic search systems, and scalable data-processing pipelines for code and documentation repositories.
- Create automated code-review capabilities and improve the secure software development lifecycle through developer-friendly tooling.
- Build REST APIs and platform services with authentication, authorization, rate limiting, observability, and secure data handling.
- Integrate security guidance with GitHub, Slack, Jira, Confluence, and cloud platforms.
- Lead high-priority initiatives, support incident response and on-call needs, and advise stakeholders on secure AI adoption.
Requirements
- 3+ years of software engineering or security engineering experience.
- Strong proficiency in Python or Go for production backend services, APIs, and data pipelines.
- Experience with REST APIs, authentication, authorization, rate limiting, streaming, observability, distributed systems, and cloud environments.
- Knowledge of application security, vulnerability classes, threat modeling, and SSDLC practices.
- Hands-on experience with LLM APIs, RAG pipelines, multi-agent architectures, semantic search, and AI-specific security risks such as prompt injection and sensitive data exposure.
- Experience with AWS, message queues, NoSQL databases, containers, Kubernetes or ECS, serverless systems, infrastructure as code, Redis, caching, and performance patterns.
Culture & Benefits
- Medical, dental, and vision coverage for employees and dependents.
- Flexible vacation time, company holidays, shutdown periods, parental leave, mental health support, and a paid sabbatical after five years.
- Health and dependent care FSA and HSA contributions, wellness, phone, Wi-Fi, home-office equipment, and coworking stipends.
- 401(k) with a 4% company match, disability and life insurance, and financial wellness support.
- Employee resource groups, hackathons, team events, quarterly volunteer time, and charitable donation matching.
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