
Senior Staff Cloud Security Engineer
Posted 6 hours ago

Posted 6 hours ago
This is a fully remote position, open to applicants in Argentina.
• Take ownership of cloud, application, and zero trust security architecture, which includes blueprints, guardrails, and secure design patterns tailored for cloud-native microservices on AWS.
• Safeguard AI and machine learning systems, including features powered by large language models (LLM), by performing threat modeling specific to AI risks and implementing effective mitigations.
• Develop and enhance detection engineering and monitoring pipelines throughout cloud infrastructure and Kubernetes environments.
• Lead incident response efforts, create automated playbooks, carry out root-cause analyses, and facilitate tabletop exercises.
• Ensure security throughout the software development lifecycle (SDLC) by implementing CI/CD automation, container security measures, vulnerability management, design reviews, and internal testing procedures.
• Conduct threat modeling and architecture assessments on complex distributed systems and data flows.
• Assist the customer security team by clearly communicating security controls to customers during in-depth technical discussions.
• Collaborate with senior leaders, security engineers, and the wider engineering team.
• Protect AI-driven solutions throughout the entire product lifecycle.
• Over 8 years of experience in cloud security, application security, and security architecture within modern distributed environments.
• Proven experience in building detection engineering and SIEM/SOAR pipelines.
• Proficiency in analyzing logs at scale using AI technologies.
• Experience in leading real incident response initiatives and conducting threat hunting.
• Practical experience in securing, monitoring, and investigating production Kubernetes and containerized environments.
• Hands-on experience in securing and testing contemporary application architectures, including microservices, APIs, and containers in the cloud.
• Extensive experience with AWS.
• Knowledge of AI threats and mitigation strategies, such as prompt injection, data leakage, model and supply chain risks, and misuse of AI agents and integrations.
• Capability to transition from architecture diagrams to code, configuration, and logs.
• Exceptional communication skills for explaining security concepts to customer security teams, executives, and engineers.
• Demonstrated success in a high-growth startup environment, showcasing adaptability, autonomy, and rapid execution.
• Background in software or infrastructure engineering with experience in building production systems.
• Experience in integrating security tools like GHAS and SAST/DAST into CI/CD platforms such as Codefresh, ArgoCD, or GitLab CI.
• Strong experience with Infrastructure-as-Code, particularly with Terraform.
• Comprehensive end-to-end vulnerability management experience across applications and cloud infrastructure.
• Proficiency in encryption and secrets management using HashiCorp Vault and AWS KMS.
• Experience in designing and documenting security solution architectures.
• Familiarity with OWASP Top 10 for LLM Applications, MITRE ATLAS, or NIST AI RMF.
• Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
• Competitive compensation package.
• Stock options available.
• Healthcare coverage for family members.
• Provision of Mac equipment.
• Flexible benefits amounting to USD 150 per month.
• Three weeks of vacation.
• English language lessons offered.
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