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
- 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
- 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
- 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
$180,000 - $440,000 USD