Cybersecurity Application Security Engineer

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities. The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you're part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work. We are seeking a highly skilled Application Security Engineer with strong experience across secure code review, penetration testing, automation, and modern SDLC practices—including emerging AI/LLM security. In this role, you will partner closely with engineering, cloud, and product teams to safeguard our applications, services, and AI-driven components from design through production. You will combine hands-on technical testing with scalable automation and developer enablement to mature our AppSec program and ensure secure, resilient applications at speed. This position requires work in support of the Company's contract with the United States Department of Education ("ED"). As such, the United States Government requires that any applicant for this position must complete United States Government security clearance. Effective June 1, 2018, ED has informed Nelnet that security clearance applications for foreign nationals are not being accepted or processed. In light of this direction from ED, Nelnet will be unable to hire applicants without United States citizenship for such positions. This position offers a hybrid work option. Nelnet values flexibility and understands the importance of work-life integration. Our hybrid work environment allows associates Living within 30 miles of an office location to work remotely for part of the week, while also fostering collaboration and team connection through in-office presence three days per week. Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.

Experience with technical report writing and communicationCOMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:Needs: Strong manual code review experience in at least one major language (Java, JavaScript/TypeScript, C#, PHP, etc.)Solid threat-modeling expertise (STRIDE, attack trees, misuse cases) for both traditional systems and AI/LLM-integrated features Proficiency with SAST, SCA, DAST, web and mobile pentesting, container scanners, secrets-detection tools, and ideally AI-security scanning platforms Experience integrating security tooling and automated checks into CI/CD pipeline Scripting/automation skills (Python, Bash, Node) for building custom tooling and automating manual processes Good understanding of AI/LLM attack surfaces including prompt injection, insecure output handling, model-data leakage, and RAG vulnerabilities Strong knowledge of web/API security concepts (session management, secure storage, transport security) Excellent organizational, presentation, verbal, and written communication skills Ability to effectively assess and communicate risks and appropriate levels of urgency to management and engineering staff Aptitude for self-study, setting and achieving long term goals Actively seeks to remain technically current and increase expertise and abilities Challenges prevailing assumptions when appropriate Willing to adapt to changing technology and business landscapes Considers change as opportunities to be challenged and grow Ability to adapt style of communications to match audience and information sharing needs Wants: Experience performing secure code reviews or building internal developer tooling. Previous work with AI or LLM-integrated applications, model security, or prompt safety. Experience with mobile security, reverse engineering, or platform-specific secure coding. Certifications such as OSWE, OSCP, GWAPT, GCSA, GCPN, or ML security certs (not required but beneficial).Ability to mentor junior developers/engineers in secure design and coding practices. Pay range for this role is $90,000-$125,000 annually, depending on experience.#LI-CW1#LI-RemoteOur benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: Benefits & Perks - Nelnet Inc. Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone. Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or corporaterecruiting@nelnet.net.Nelnet is a Drug Free and Tobacco Free Workplace. Use of Artificial Intelligence in Hiring We may use automated or artificial intelligence enabled tools to assist with the initial review of applications, such as identifying relevant skills or experience. These tools are used to support human review and do not make hiring decisions. A recruiter reviews applications and determines which candidates move forward in the hiring process. For more information, see our Privacy Policy and Pre-Use Notice: Automated Tools in Hiring