Senior Engineer, Application Security (R6290)

Job Description

Job Description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit  Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

The Hivemind Enterprise Team is seeking a Senior Application Security Engineer for our Hivemind Enterprise product.

The Hivemind Enterprise product is a software development kit (SDK) that enables scalable design, deployment, evaluation, and iteration of autonomy architectures for a wide range of robotic platforms. Hivemind Enterprise is a highly technical software product providing tools and user interfaces to support multiple user personae, ranging from AI developers to test engineers.  

What you'll do:

• As an application security engineer for Hivemind you will join our cybersecurity engineering team to help define our application security policies, deploy and configure scanning tools within our CI/CD pipelines, review scanning results and work directly with our developers to identify and fix security issues in or code.
• In addition, you will have the opportunity to help solve security issues before they start by working with our architecture team to design a secure-by-default software product, performing threat modeling, and validating designs meet our secure coding standards.

Required qualifications:

• Bachelor’s degree with approximately 5+ years of relevant experience, or Master’s degree with approximately 4+ years of relevant experience, in cybersecurity, software engineering, or a closely related technical field
• Experience developing or testing cyber secure code
• Strong understanding of modern software engineering practices, including CI/CD, automated testing, configuration management, and software lifecycle processes
• Familiarity with threat modeling
• Experience with software analysis tools, including static analysis, dynamic analysis, dependency mapping, CVE scanning, etc.
• Comfortable working in a Linux development environment
• Strong organizational, communication, and cross-functional collaboration skills
• Basic understanding of key cryptography concepts

Preferred qualifications:

• Previous experience on an application security team for a large, complex software product
• Experience as a DevSecOps engineer, especially in a GitLab environment
• Experience writing software or testing Python, C/C++, and/or Go
• Red-teaming experience
• Software reverse engineering skills

#LI-DM2

#LC

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

###

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.