Docusign
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Cloud Security Engineer
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Docusign Get AI-powered advice on this job and more exclusive features. Overview
Docusign is seeking a Cloud Security Engineer focused on AI security. You will shape how we safely adopt AI by ensuring vendor-provided AI and ML solutions are thoroughly tested, hardened, and deployed securely. You’ll work with engineering and data science teams to proactively probe for vulnerabilities, validate data handling, and build strong controls for third-party AI technologies to enable secure, responsible AI integration while maintaining a strong security posture. This position is an individual contributor reporting to the Director, Platform Security. Responsibilities
Inspect and validate how vendor AI/ML models handle sensitive data during ingestion and inference, including testing for data leakage, memorization, encryption, and tenant isolation Design and implement secure integration patterns for AI solutions in the cloud, such as API gateways and sandboxing, and partner with the red team to assess and strengthen input/output flows Build and maintain monitoring hooks and guardrails to detect model misuse, drift, anomalous output, or potential data exfiltration Implement technical safeguards and automation, including filtering layers, rate-limiting, DLP for prompts/responses, and synthetic data pipelines to minimize sensitive data exposure Collaborate with engineering, data science, and security teams to embed security into AI development and deployment workflows Partner with platform engineers and security architects to develop secure deployment patterns and reusable reference architectures Conduct threat modeling for AI/ML-specific attack surfaces (e.g., model inversion, membership inference, data poisoning, adversarial examples) and drive mitigations Support incident response and remediation for security events involving AI systems Document security processes, runbooks, and best practices for AI in the cloud Stay current with emerging threats and best practices in AI and cloud security What you bring
Basic
2+ years of experience in cloud security engineering, application security, or related field Bachelor’s or Master’s degree in Computer Science, Information Security, or related technical field (or equivalent experience) Experience with penetration testing, application security, or offensive security, including applied knowledge of AI/ML attack vectors Experience in testing APIs, cloud SaaS integrations, and vendor platforms for vulnerabilities Experience with AI/ML pipelines and associated risks (e.g., model training vs. inference, adversarial examples, data leakage) Experience implementing technical controls for data protection, access management, and monitoring in cloud or high-risk systems Experience with scripting or programming languages (e.g., Python, Go, or similar) for automation and testing Experience collaborating with engineering, data science, and security teams Preferred
Experience securing AI/ML workloads or platforms in cloud environments (e.g., Azure AI, AWS SageMaker, Google AI Platform) Experience with regulatory compliance frameworks relevant to AI and cloud (e.g., GDPR, HIPAA, SOC 2) Experience with cloud security posture management (CSPM), CNAPP, or related solutions (e.g., Wiz, Microsoft Defender) Experience with threat modeling and risk assessment for AI/ML systems Experience with data privacy, secrets management, or PKI in cloud-based AI solutions Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, pay ranges in the following locations: Washington, Maryland, New Jersey and New York (including NYC metro area): $109,600.00 - $156,950.00 base salary Benefits
Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign
Equal Opportunity Employer. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, disability, or any other legally protected category. EEO Know Your Rights poster
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Cloud Security Engineer
role at
Docusign Get AI-powered advice on this job and more exclusive features. Overview
Docusign is seeking a Cloud Security Engineer focused on AI security. You will shape how we safely adopt AI by ensuring vendor-provided AI and ML solutions are thoroughly tested, hardened, and deployed securely. You’ll work with engineering and data science teams to proactively probe for vulnerabilities, validate data handling, and build strong controls for third-party AI technologies to enable secure, responsible AI integration while maintaining a strong security posture. This position is an individual contributor reporting to the Director, Platform Security. Responsibilities
Inspect and validate how vendor AI/ML models handle sensitive data during ingestion and inference, including testing for data leakage, memorization, encryption, and tenant isolation Design and implement secure integration patterns for AI solutions in the cloud, such as API gateways and sandboxing, and partner with the red team to assess and strengthen input/output flows Build and maintain monitoring hooks and guardrails to detect model misuse, drift, anomalous output, or potential data exfiltration Implement technical safeguards and automation, including filtering layers, rate-limiting, DLP for prompts/responses, and synthetic data pipelines to minimize sensitive data exposure Collaborate with engineering, data science, and security teams to embed security into AI development and deployment workflows Partner with platform engineers and security architects to develop secure deployment patterns and reusable reference architectures Conduct threat modeling for AI/ML-specific attack surfaces (e.g., model inversion, membership inference, data poisoning, adversarial examples) and drive mitigations Support incident response and remediation for security events involving AI systems Document security processes, runbooks, and best practices for AI in the cloud Stay current with emerging threats and best practices in AI and cloud security What you bring
Basic
2+ years of experience in cloud security engineering, application security, or related field Bachelor’s or Master’s degree in Computer Science, Information Security, or related technical field (or equivalent experience) Experience with penetration testing, application security, or offensive security, including applied knowledge of AI/ML attack vectors Experience in testing APIs, cloud SaaS integrations, and vendor platforms for vulnerabilities Experience with AI/ML pipelines and associated risks (e.g., model training vs. inference, adversarial examples, data leakage) Experience implementing technical controls for data protection, access management, and monitoring in cloud or high-risk systems Experience with scripting or programming languages (e.g., Python, Go, or similar) for automation and testing Experience collaborating with engineering, data science, and security teams Preferred
Experience securing AI/ML workloads or platforms in cloud environments (e.g., Azure AI, AWS SageMaker, Google AI Platform) Experience with regulatory compliance frameworks relevant to AI and cloud (e.g., GDPR, HIPAA, SOC 2) Experience with cloud security posture management (CSPM), CNAPP, or related solutions (e.g., Wiz, Microsoft Defender) Experience with threat modeling and risk assessment for AI/ML systems Experience with data privacy, secrets management, or PKI in cloud-based AI solutions Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, pay ranges in the following locations: Washington, Maryland, New Jersey and New York (including NYC metro area): $109,600.00 - $156,950.00 base salary Benefits
Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign
Equal Opportunity Employer. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, disability, or any other legally protected category. EEO Know Your Rights poster
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