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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI security, product security, and secure design, with a strong focus on threat modeling and security architecture for AI-enabled applications. Proficient in Python and familiar with full-stack development, security testing, and integrating AI-assisted practices into the software development lifecycle.
Highest-signal resume keywords
AI SecurityThreat ModelingPython ProgrammingSecure Design ReviewsApplication Security
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringSecurity EngineeringApplication SecurityThreat ModelingSecure Code ReviewsAutomationDatabase SecurityAPIsRelational DatabasesCI/CD
Soft Skills
Communication SkillsProject ManagementProblem SolvingCollaborationOrganizational Skills
Tools & Technologies
GitHubPostgreSQLGitAI-Assisted Development ToolsContainersCloud ServicesTerminal and CLI WorkflowsAutomated TestingSecure Prompt ManagementAgentic Development Environment
Industry Keywords
Product SecurityCloud SecurityAPI SecuritySecurity FrameworksSecure SDLC Practices
Tech Stack
Tools & technologiesCloudCyber SecurityPostgresPythonSDLC
About the role
Key responsibilities & impact- Provide technical leadership within the team for AI security, product security, secure design, and security engineering work
- Plan, estimate, prioritize, and deliver engineering work while managing concurrent priorities
- Design, build, test, deploy, and troubleshoot production-ready security services, integrations, automation, and developer tooling
- Perform threat modeling and security architecture reviews for AI-enabled applications, services, APIs, data flows, agentic workflows, and supporting platforms
- Review code and designs for authentication, authorization, RBAC, input validation, data protection, logging, error handling, database access, and other security concerns
- Translate business needs, customer feedback, and security requirements into technical requirements, implementation plans, and measurable outcomes
- Recommend priorities and design or configuration decisions using data and risk context
- Work across engineering, product, platform, risk, and cybersecurity teams to resolve issues and drive actions to completion
- Identify process, tooling, and control gaps and implement improvements
- Contribute to design, code, security, observability, performance, and operational-readiness reviews
- Document technical decisions, operating procedures, support guidance, and lessons learned
- Help teammates through reviews, pairing, technical discussions, and documentation
- Assess risks associated with AI models, agents, prompts, RAG, MCP, tools, data sources, memory, and downstream actions
- Apply secure-by-design practices to AI-enabled systems
- Build or integrate automated safeguards, evaluation workflows, security tests, and monitoring
- Partner with developers to provide remediation guidance and validate security fixes
Requirements
What you’ll need- Solid professional experience in software engineering, security engineering, product security, application security, or a related technical field
- Hands-on experience writing, reviewing, testing, and troubleshooting code
- Strong proficiency in Python or a comparable modern programming language
- Experience with full-stack or platform development using GitHub, Git, terminal and CLI workflows, APIs, relational databases such as PostgreSQL, and automated testing
- Practical experience conducting threat modeling, secure design reviews, architecture reviews, or secure code reviews
- Working knowledge of application and API security risks, secure authentication and authorization patterns, input validation, logging, error handling, database security, and secure SDLC practices
- Ability to organize complex work, create realistic project plans, manage dependencies, communicate status and risks, and drive work to completion
- Ability to make progress with incomplete information and apply sound engineering judgment under ambiguity
- Strong written and verbal communication skills for technical and non-technical audiences
- Experience integrating AI-assisted development practices into the software development lifecycle
- Proven ability to validate AI-generated outputs and ensure resulting code meets expectations for security, quality, maintainability, reliability, testability, and compliance
- Strong portfolio of hands-on engineering work demonstrating effective use of AI-enabled development capabilities
- Demonstrated track record leveraging AI-assisted software development tools and workflows
- Experience working in an Agentic Development Environment
- Hands-on familiarity with Cursor, Claude Code, GitHub Copilot, GitHub pull request automation, AI-assisted code review, repository-aware chat, terminal-based coding agents, and secure prompt/context management
- Preferred: Experience building or securing generative AI, agentic AI, RAG, MCP-based integrations, or AI-enabled developer workflows
- Preferred: Experience with Python application frameworks, Pydantic, PostgreSQL, cloud services, containers, CI/CD, and infrastructure automation
- Preferred: Experience integrating security testing and controls into engineering workflows and developer tooling
- Preferred: Familiarity with product security, cloud security, API security, threat modeling methodologies, and security or compliance frameworks
Benefits
Comp & perks- Personalized development programs
- Mentorship
- Certification assistance
- Competitive pay
- Benefits
- Flexibility to support your well-being and future
- Employment authorization sponsorship consideration for a new qualified applicant