Product Security Engineer

Adobe

Mid-level Product Security Engineer developing AI-powered security platforms at Adobe. Building security capabilities using LLM integrations and working with cross-functional teams.

Posted 5/20/2026full-timeNew York City • California, New York, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $122,900 - $216,300 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudJavaScriptKubernetesPostgresPythonReactRedisSDLC

About the role

Key responsibilities & impact

Build security analysis capabilities using LLM integrations with Azure OpenAI, prompt engineering, retrieval-augmented generation, and vector-based context retrieval.
Develop and maintain platforms end to end using React, Python FastAPI, Celery, Postgres, Redis, and Kubernetes with Argo.
Evaluate LLM and retrieval outputs to ensure accuracy and reliability for internal users.
Address AI-specific risks like prompt injection, data exposure, and output manipulation.
Make architecture decisions for new security capabilities, balancing performance, scalability, maintainability, and responsible AI use.
Identify security gaps with internal users and propose features to close them.
Partner with security and product teams to translate their needs into scalable features.
Use AI-assisted tools like GitHub Copilot and Cursor to move faster without compromising code quality.
Share knowledge with peers, support teammates, and contribute to Adobe’s security community.

Requirements

What you’ll need

Bachelor's degree or equivalent practical experience in Computer Science, Engineering, or a related field.
4 to 6 years of software development experience, including full-stack or backend systems.
Solid foundation in Secure SDLC practices, application security, and threat modeling.
Proficiency in Python and JavaScript, with React experience preferred.
Experience with AI systems, including LLMs, prompt engineering, AI APIs like Azure OpenAI, and vector databases or retrieval-based systems.
Understanding of AI-specific risks like prompt injection and hallucination, with experience evaluating AI outputs.
Familiarity with cloud platforms, preferably Azure, and containerized deployments.
Knowledge of CI/CD pipelines, Git, and modern development workflows.
Ability to work independently and across teams, with judgment to make risk-based decisions and communicate technical risk clearly.
Curiosity about emerging AI and security techniques and a willingness to apply them.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaScriptReactFastAPICeleryPostgresRedisKubernetesArgoSecure SDLC

Soft Skills

independent workteam collaborationjudgmentcommunicationcuriosity

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Engineering