As a Cybersecurity Engineer, you will help design, implement, and mature Moderna’s approach to API security across modern applications, platform services, and AI-enabled use cases. This role is primarily focused on securing APIs and the systems that expose and consume them, including improving visibility, control, and risk reduction across a growing set of application and integration patterns, with support for initiatives such as AI Gateway and other shared platforms where needed.

The ideal candidate brings strong hands-on experience with API security concepts and controls, and can work effectively across engineering, architecture, and security teams to improve how APIs are exposed, authenticated, monitored, and governed. This role also calls for someone who is forward thinking about how identity and trust models are evolving, including how to secure service identities, machine-to-machine access, and emerging agentic patterns where software agents interact with APIs, tools, and sensitive data on behalf of users or systems.

Here’s What You’ll Do:

• Help design, implement, and mature Moderna’s API security capabilities across enterprise applications, shared services, integrations, and AI-related platforms.

• Support the evaluation, deployment, and operationalization of API security technologies used for API discovery, posture assessment, traffic monitoring, anomaly detection, and policy enforcement.

• Partner with application, platform, and engineering teams to identify insecure API designs, weak authentication or authorization patterns, excessive data exposure, and other common API security risks.

• Perform API-focused threat modeling and security assessments for modern services, microservices, integrations, and AI-enabled workflows.

• Define and promote secure API engineering practices, including strong authentication, authorization, rate limiting, schema validation, secrets handling, and secure service-to-service communication.

• Help shape security approaches for non-human and agentic identity models, including how services, automation, and software agents authenticate to APIs, obtain scoped access, and interact with sensitive systems safely.

• Analyze API telemetry and findings to identify abuse paths, misconfigurations, shadow APIs, and control gaps, then work with stakeholders to drive remediation.

• Collaborate with broader security teams to connect API security findings with cloud, application, identity, and detection engineering workflows.

• Provide practical engineering guidance that helps teams improve API security while preparing for new trust and identity challenges introduced by automation and AI-enabled systems.

Here’s What You’ll Bring to the Table:

• 5+ years of experience in cybersecurity, application security, platform security, or a related engineering discipline, with meaningful hands-on experience in API security.

• Strong understanding of API security risks and controls, including authentication, authorization, token handling, rate limiting, data exposure, input validation, and service-to-service trust models.

• Experience assessing or securing REST, GraphQL, or other modern API patterns in cloud-native or distributed application environments.

• Experience working with engineering and platform teams to improve API design, security posture, and operational controls.

• Familiarity with API gateways, service meshes, reverse proxies, or related control points used to secure and observe API traffic.

• Ability to perform threat modeling and technical risk assessments for APIs, integrations, backend services, and machine-to-machine interaction patterns.

• Working knowledge of identity and access concepts relevant to non-human identities, workload identities, and emerging agentic access patterns is strongly preferred.

• Working knowledge of cloud and application security fundamentals, including identity, secrets management, logging, and common security design patterns.

• Familiarity with AI-enabled architectures or gateway patterns is a plus, particularly where APIs are used to broker access to models, tools, or sensitive data flows.

• Strong analytical and troubleshooting skills, with the ability to turn technical findings into pragmatic remediation guidance.

• Strong written and verbal communication skills, with the ability to work across technical and non-technical stakeholder groups.

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