Application Security Engineer

About the Role

We are seeking a skilled and innovative Application Security Engineer to join our technology-driven company. In this role, you will be responsible for ensuring the security and integrity of our cloud-native applications and systems throughout the software development lifecycle, with a particular focus on code security, CI/CD pipelines, and emerging AI technologies.

Focus

• Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications


• Design and implement secure coding guidelines and best practices for development teams


• Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline


• Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks


• Manage vulnerability tracking and remediation efforts, providing guidance to development teams


• Support incident response activities related to application security


• Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures


• Evaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs)


• Address security concerns specific to AI and machine learning models, with a focus on the OWASP LLM Top 10

Ideal Experience

• Bachelor's degree in Computer Science, Cybersecurity, or a related field


• 3-5 years of experience in application security, with a strong focus on code security practices


• Deep understanding of secure coding practices, application security frameworks, and common vulnerabilities (e.g., OWASP Top 10)


• Proficiency in Python or Rust programming languages and experience with secure coding practices in these languages


• Experience securing CI/CD pipelines and implementing DevSecOps practices


• Familiarity with software supply chain security and SBOM generation tools


• Experience with security testing tools (e.g., Burp Suite, OWASP ZAP) and static/dynamic code analysis


• Understanding of AI/ML security implications, particularly those outlined in the OWASP LLM Top 10


• Excellent communication skills, able to explain complex security issues to both technical and non-technical audiences

Preferred Qualifications

• Experience with cloud platforms (e.g., GCP, AWS, Azure) and their security features


• Relevant security certifications (e.g., CSSLP, OSWE)


• Background in data privacy and compliance regulations relevant to cloud-native applications and AI systems


• Experience with GitOps and infrastructure-as-code security


• Familiarity with federated learning and privacy-preserving machine learning techniques

Bonus Skills

• Experience in building custom security tooling to enhance and automate security processes


• Interest in leveraging AI to automate security tasks and improve efficiency


• Contributions to open-source security projects or tools


• Experience in securing AI/ML models and data pipelines

Annual Salary Range

$180,000 - $440,000 USD