10 дней назад
Senior Engineer - Production Security (AI)
100 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer - Production Security (AI): Building production-ready security services, automation, developer tooling, and safeguards for AI-enabled products with an accent on threat modeling, secure design, and application security. Focus on assessing agentic workflows and AI-generated code, designing authorization and data protection controls, and delivering reliable security solutions with engineering teams.
Location: Bethesda, MD, United States
Annual salary: $100,000–$215,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family of companies, serving millions of customers through technology and insurance products.
What you will do
- Provide technical leadership for AI security, product security, secure design, and security engineering initiatives.
- Design, build, test, deploy, and troubleshoot production-ready security services, integrations, automation, and developer tooling.
- Perform threat modeling and security architecture reviews for AI applications, APIs, data flows, agentic workflows, and supporting platforms.
- Review code and designs covering authentication, authorization, access control, input validation, data protection, logging, and database security.
- Build automated safeguards, evaluation workflows, security tests, and monitoring for AI and application security risks.
- Partner with engineering, product, platform, risk, and cybersecurity teams to resolve issues, document decisions, and deliver improvements.
Requirements
- Solid professional experience in software engineering, security engineering, product security, application security, or a related technical field.
- Hands-on coding, code review, testing, and troubleshooting experience with strong proficiency in Python or a comparable modern language.
- Experience with GitHub, Git, terminal and CLI workflows, APIs, relational databases such as PostgreSQL, and automated testing.
- Practical experience with threat modeling, secure design reviews, architecture reviews, secure code reviews, and secure SDLC practices.
- Experience integrating AI-assisted development into the software lifecycle while retaining accountability for security, quality, testing, and operational readiness.
- Familiarity with AI coding tools and workflows such as Cursor, Claude Code, GitHub Copilot, pull request automation, coding agents, and secure prompt and context management.
Nice to have
- Experience building or securing generative AI, agentic AI, RAG, MCP-based integrations, or AI-enabled developer workflows.
- Experience with Python application frameworks, Pydantic, PostgreSQL, cloud services, containers, CI/CD, and infrastructure automation.
- Experience integrating security controls into engineering workflows and developer tooling.
- Familiarity with cloud security, API security, threat modeling methodologies, and enterprise security or compliance frameworks.
- Experience designing guardrails, evaluation frameworks, and governance mechanisms for AI-generated code and AI-assisted engineering workflows.
Culture & Benefits
- Inclusive and collaborative work environment focused on shared success.
- Personalized development programs, mentorship, and certification assistance.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring a new qualified applicant for employment authorization.
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