Docusign · 2 hours ago
Cloud Security Engineer
Seattle, WA
Full-time
Hybrid
Entry, Mid Level
$110K/yr - $157K/yr
2+ years expDocusign is a leader in e-signature and contract lifecycle management, serving over 1.5 million customers globally. As a Cloud Security Engineer focused on AI security, you will ensure the secure adoption of AI and ML solutions, collaborating with various teams to probe for vulnerabilities and implement strong security controls.
Business Process Automation (BPA)Cloud ManagementComputerE-SignatureInformation TechnologySaaSSoftware
No H1B
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
Qualification
Required
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
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
Company
Docusign
DocuSign helps small- and medium-sized businesses collect information, automate data workflows, and sign on various devices.
5001-10000 employees
Funding
Current Stage
Public CompanyTotal Funding
$1.29BKey Investors
Bank of AmericaFounders Circle CapitalGreenspring Associates
2025-05-27Post Ipo Debt· $750M
2018-04-27IPO
2016-10-12Secondary Market
Leadership Team
Allan Thygesen
Chief Executive Officer
Sagnik Nandy
Chief Technology Officer
Recent News
2025-12-19
2025-12-17
Company data provided by crunchbase