Design, build, and operate cloud-native security controls as software products across cloud infrastructure, data platforms, and application services.
Engineer and maintain cloud security posture management (CSPM) and data loss prevention (DLP) capabilities to continuously detect, assess, and reduce risk in cloud environments.
Build preventative, detective, and responsive security controls that integrate directly into cloud platforms, CI/CD pipelines, and shared enterprise services.
Integrate cloud security controls with SIEM and security tooling to generate high-quality signals for detection, investigation, and incident response.
Support incident handling and response by engineering detection logic, automation, and response mechanisms that improve containment and recovery.
Apply modern cloud and software engineering practices (e.g., infrastructure as code, automated testing, CI/CD) to ensure security controls are reliable, scalable, and maintainable.
Collaborate with platform engineers, application teams, and Digital Product Managers to align cloud security controls with architectures and developer workflows.
Requirements
A minimum of 3 years of professional software or security engineering experience, with hands on ownership of production systems deployed in cloud environments.
Strong proficiency in one or more modern programming languages (such as Python, Java, or JavaScript), and a proven ability to design, write, review, and maintain robust production grade code.
Hands-on experience engineering security controls within public cloud platforms (e.g., AWS and/or Azure), spanning infrastructure, platform services, or application-level integrations.
Background building or integrating cloud security posture management (CSPM), data protection, or data loss prevention (DLP) capabilities as engineered solutions.
Understanding of cloud-native architectures and services (e.g., identity, networking, storage, compute) and how security controls integrate into them.
Experience engineering preventative, detective, and responsive security capabilities, including detection logic, automation, or response workflows in cloud environments.
Familiarity integrating security controls and signals with SIEM or security monitoring platforms to support detection and incident response.
Practical application of modern engineering practices such as infrastructure as code, automated testing, CI/CD, and operational feedback loops.