Cloud Security Engineer

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

As 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 closely with engineering and data science teams to go beyond compliance—actively probing for vulnerabilities, validating data handling, and building strong controls for third-party AI technologies. Your expertise will enable secure, responsible AI integration and help the business innovate with confidence while maintaining a strong security posture.

This position is an individual contributor reporting to the Director, Platform Security.

Responsibility

• 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

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

• 8+ 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, the below details pay ranges in the following locations:

Washington, Maryland, New Jersey and New York (including NYC metro area): $151, $222,450.00 base salary

This role is also eligible for the following:

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

• 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

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

Equal Opportunity Employer

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. 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, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

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