• Act as the primary technical point of contact for MLPS assessments and Chinese regulatory inquiries. • Explain Dashboard infrastructure, system architecture, data flows, and security controls to assessors and regulators. • Partner with global Compliance and Security teams to prepare evidence, documentation, and responses for MLPS. • Coordinate with Engineering Teams to validate and implement required controls. • Track regulatory changes in China and assess impact to Dashboard services. • Contribute to audit readiness, remediation efforts, and continuous compliance improvements.

• Drive double digit revenue growth and forecasting accurately • Build and maintain strong executive-level relationships across key SLED SE accounts • Collaborate with local Cisco Sales teams, as well as within the customer and partner base via both direct and indirect touch • Work closely with security business unit leadership and serve as a security brand ambassador for Cisco • Develop talent, own and drive accountability, and build a high-performing, engaged team culture • Represent Cisco externally, including participating in industry panels, customer forums, and thought leadership opportunities

Role Description We are looking for a highly motivated and curious Product Security Intern. Under the expertise and guidance of our internal security team, you will explore how Generative AI can accelerate security workflows, research autonomous penetration testing frameworks, and help us embed robust Secure Software Development Life Cycle (SDLC) practices directly into our engineering culture. If you are passionate about hacking, building secure software, and interested to learn and build together how to leverage AI to outsmart adversaries, this is the role for you. What You Will Do - GenAI-Accelerated Security: Research and prototype ways to use Large Language Models (LLMs) and Generative AI to automate threat modelling, triage vulnerability reports, and generate remediation code for developers. - Autonomous Penetration Testing: Assist in evaluating, building, or deploying autonomous Secure AI agents and scripts designed to automate Offensive Security Testing within our test environments. - Secure SDLC Integration: Work alongside security engineers to integrate and tune Static (SAST), Dynamic (DAST), Supply Chain Security and Software Composition Analysis (SCA) tools within our CI/CD pipelines. - Vulnerability Management: Analyse security findings, filter out false positives, and collaborate with software engineers to remediate potential vulnerabilities. - Research & Documentation: Stay up to date on the latest AI-driven attack vectors (e.g., prompt injection, model poisoning) and document internal security guidelines for safe AI adoption. Qualifications - Core Security Knowledge: Solid understanding of common vulnerabilities (e.g., OWASP Top 10) and fundamental security concepts (authentication, cryptography, networking). - Programming Skills: Proficiency in at least one programming or scripting language (e.g., Python, Go, JavaScript, or bash) to write automation scripts and interact with APIs. - AI/ML Curiosity: A strong interest in Generative AI, LLMs, and how AI can be applied offensively and defensively in cybersecurity. (Prior experience using LLM APIs like OpenAI, Gemini, or Anthropic is a major plus). - Builder’s Mindset: Familiarity with modern software development stack/tools, version control (Git), and an understanding of basic CI/CD concepts. - Problem Solver: Excellent analytical skills with a proactive approach to tackling complex, ambiguous problems. - Education: Background in Computer Science, Cybersecurity, Information Security, or a related technical field. Benefits - Expert Mentorship & Training: Learn directly from our in-house security experts. You will receive hands-on training on how to secure an organization comprehensively at every layer of the SDLC and beyond. - Strategic Collaboration: Join hands with our security engineers to be an active, contributing member of our GenAI-accelerated security program. - Impact: Your research and code will directly influence how our security team scales its operations. - Flexible working: We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life. - Mental health and wellness: We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching. - Tech support: We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity.

Role Description We’re seeking an experienced Senior Security Engineer with a strong passion for Identity and Access Management (IAM) and proven expertise in cloud-native environments, particularly AWS. In this role, you’ll help shape and implement modern identity strategies to secure access across all of Marqeta’s systems and services—100% cloud-based, with no data center footprint. Join us in building a secure, scalable, and frictionless IAM program where you’ll play a crucial part in: - Building and evolving our Identity Governance and Administration (IGA) capabilities. - Implementing & Operating Privileged Access Management (PAM) in a cloud-first (AWS-focused) environment. - Designing and architecting a Certificate Lifecycle Management solution that supports cloud-native workloads. - Driving integration of IAM across AWS services, SaaS platforms, and developer/DevOps pipelines. - Designing identity and access controls to protect AI/ML systems—ensuring secure access to training data, models, and inference APIs. The Impact You’ll Have: - Develop and lead implementation of robust IAM strategies aligned with cloud-native architecture and security principles. - Expand and operationalize the IAM program across IGA, PAM, SSO, MFA, access management, secrets management, and certificate lifecycle. - Automate identity provisioning, de-provisioning, and access reviews using AI tools and infrastructure-as-code. - Design IAM integrations for AWS-native services (Lambda, EC2, S3, IAM, etc.), SaaS platforms, and third-party identity tools (e.g., Okta, CyberArk). - Promote and enforce least privilege and zero-trust principles through scalable access controls and policy automation. - Mentor junior engineers and serve as a technical lead for IAM-related projects. - Collaborate with Security, DevOps, and Infrastructure teams to embed IAM controls across the engineering lifecycle. - Stay ahead of emerging trends and continuously refine IAM strategy based on evolving cloud threats and compliance requirements. Qualifications - A minimum of 8 years related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or a PhD with 3 years’ experience; or equivalent combination of related education and work experience. - Strong experience with IAM tools (e.g., Okta, CyberArk, Ping, SailPoint). - Deep knowledge of IAM in cloud-native environments, especially AWS IAM, roles, policies, permissions boundaries, and federation. - Proficiency in infrastructure-as-code (e.g., Terraform, CloudFormation). - Familiarity with authentication and authorization protocols (SAML, OAuth2, OpenID Connect, Kerberos). - Strong grasp of directory services like Active Directory, LDAP, and cloud-based alternatives. - Hands-on skills in scripting (e.g., Python, PowerShell) to automate IAM operations. - Solid understanding of compliance standards: NIST, SOC 2, PCI DSS, etc. - Proven experience integrating IAM into CI/CD pipelines, secrets management, and DevOps workflows. - Excellent communication skills and ability to influence and lead cross-functional teams. Requirements - Relevant certifications such as CISSP, CISM, or IAM-specific credentials (e.g., CIAM/CAMS, CyberArk Certified, Okta Certified Consultant). - Experience with AWS technologies such as Lambda, S3, DynamoDB, RDS, Aurora, SNS, SQS, CloudTrail, CloudWatch, Code Pipeline, AWS Developer Tools, and IAM roles and permissions. - Experience with DevOps tools and practices, including secrets management and CICD pipelines. Benefits - Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. - Competitive base salary range for this position, reflected in CAD, is: 136,800 - 171,000. - Annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company. - Multiple health insurance options. - Flexible vacation time. - Retirement savings program with company contribution. - Equity in a publicly-traded company. - Monthly stipend to support our remote work model. - Annual “development dollars” to support our people growth and development. - Family-forming benefits and up to 20 weeks of Parental Leave.