Application Security Engineer

Overview

We are seeking an experienced Application Security Engineer to serve as a trusted partner to our software development teams. This role focuses on making our product secure by design—embedding security into how software is architected, written, deployed, and maintained. It centers on application-layer and code-level security, working closely with developers to enable fast, confident delivery by providing meaningful, actionable security tooling and feedback. This includes leveraging modern AI-assisted techniques to accelerate vulnerability analysis, exploit chaining, and demonstration of actual risk. You will ensure engineering teams move faster—without increasing noise. This role is part of the IT & Security team and prioritizes embedding guardrails into developer workflows rather than enforcement gates.

At Nerdy (NYSE: NRDY) - the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit technologists and operators who turn ambiguous problems into shipping code and iterate faster than markets move. We back those who play to win.

Fortune favors the bold. Join us.

• AI-Native at every level From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.
• Entrepreneurial velocity Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.
• Free-market rigor Ideas rise or fall on merit and results — no committees, no politics, no cap on upside.
• Full-stack ownership You design, build, and run what you ship; accountability is a feature, not a bug.
• Reward for contribution Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.
• Relentless exploration Push the frontier of generative AI in live learning and question every legacy assumption along the way.
• Is Apolitical You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

Learn more at Nerdy.com.

• Experience as an Application Security Engineer, Security Consultant, or Security-focused Software Engineer.
• Strong understanding of secure coding practices and common vulnerability patterns.
• Ability to apply common web application attack techniques and create proof-of-concept exploits to validate whether vulnerabilities are exploitable in our environment.
• Proven ability to analyze exploit chains and demonstrate actual risk, leveraging AI to accelerate discovery and validation.
• Hands-on experience integrating security tooling into CI/CD pipelines.
• Deep familiarity with OWASP guidance, including the OWASP Top 10, ASVS, and Secure Coding Guidelines.
• Partner with DevOps to embed application security into CI/CD pipeline design and practices.
• Ability to assess and communicate application risk in architectural and business context.
• Comfortable demonstrating real-world exploits to technical and non-technical stakeholders.
• Excellent written and verbal communication skills in an async-first, remote environment.

Preferred:

• Experience leveraging and adapting open-source tools and frameworks for application security testing and validation.
• Experience with API security testing and continuous monitoring, leveraging AI for fuzzing, intelligent input generation, and automated discovery.
• Experience building or maintaining secure development training programs.
• Security certifications (OSWE, OSCP, GIAC) are a plus but not required.

Responsibilities:

• Enable engineering teams to move quickly while embedding security into development workflows—security and speed go hand-in-hand.
• Partner with engineering on secure use of AI services, evaluating controls such as AI gateways, prompt inspection, and policy enforcement.
• Identify, prioritize, and implement security tooling in developer environments and CI/CD pipelines, with AI-assisted triage to reduce noise and highlight exploitable risks.
• Collaborate with developers to identify vulnerabilities in code, APIs, and dependencies; improve secure coding awareness; and participate in design reviews and threat modeling.
• Demonstrate practical exploit techniques to raise security awareness and drive remediation, including chaining multiple weaknesses across services to illustrate end-to-end risk.
• Analyze vulnerabilities across code, dependencies, APIs, and logic, with AI-assisted techniques to identify and prioritize exploit chains.
• Build or adapt automation scripts and tools for continuous security validation, using AI copilots to accelerate script generation and validation.
• Provide coaching, documentation, and embedded training to help developers understand and apply security guidance within their workflows.
• Continuously evaluate emerging AI and application security threats and detection techniques.
• Lead incident response activities as part of the incident commander rotation.
• Drive continuous improvement of incident response runbooks and playbooks.