SaaS and Cloud Access Security Platform Engineer for cloud services and AI technologies security. Lead efforts in implementing CASB solutions and ensuring data protection in dynamic environments.
Responsibilities
Design, implement, and maintain CASB solutions to secure cloud applications and services.
Monitor and analyze cloud activity to detect and mitigate risks.
Configure and enforce policies for secure access to sanctioned and unsanctioned cloud services.
Assess and secure generative AI (GenAI) application usage.
Develop and implement controls on AI security platforms and tools.
Collaborate with stakeholders to enable secure adoption of AI technologies.
Conduct risk assessments on cloud services and AI applications.
Develop and implement controls to mitigate identified risks.
Monitor AI-generated outputs to identify and prevent security threats.
Scan and inspect responses from sanctioned GenAI apps for malicious content.
Integrate CASB and AI security tools to detect and mitigate advanced threats.
Ensure the integrity and security of data processed by AI systems.
Ensure adherence to regulatory requirements and organizational policies.
Generate reports on CASB and AI security activities, usage trends, and incidents for management and audit purposes.
Collaborate with IT, compliance, and other departments to align security controls with business objectives.
Train and coach employees on secure cloud and AI application usage.
Requirements
3-5 years of experience in information security, focusing on CASB and AI security.
Proven experience with leading CASB tools (e.g., Netskope, Palo Alto CASBx, Microsoft Defender for Cloud Apps, Symantec CloudSOC).
Expertise with AI/ML security challenges and solutions.
Deep expertise in configuring and managing CASB solutions, including policy enforcement and activity monitoring.
Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and SaaS applications.
Familiarity with Palo Alto Networks NGFW, Prisma Access, Prisma Cloud, etc. is highly desired.
Understanding of AI application security risks and data protection strategies.
Hands-on experience with integrating CASB tools with SIEM platforms for enhanced monitoring.
Proficiency in scripting and automation tools (Python, PowerShell, Bash) to automate security tasks.
Experience with REST APIs for customizing CASB and AI security integrations.
Understanding of identity and access management (IAM) concepts, including SSO and multi-factor authentication.
Strong problem-solving skills with the ability to analyze complex security issues and propose effective solutions.
Excellent verbal and written communication skills, enabling effective collaboration with technical and non-technical stakeholders.
Ability to work collaboratively in a cross-functional team environment.
Familiarity with zero-trust architecture and its application to cloud and AI environments.
Bachelor’s degree in Computer Science, Information Security, or a related field.
Relevant certifications (e.g., CCSP, CISSP, AWS Certified Security, Microsoft Certified: Security, Compliance, and Identity Fundamentals) are a plus.
Full - stack Platform Engineer developing features for AI - powered product visibility. Collaborate on Auth, Billing, and Business Logic in a hybrid Buenos Aires role.
Platform Engineer strengthening cloud platform capabilities at Allica Bank. Involves deploying and automating cloud services across Microsoft Azure and Google Cloud Platform.
Platform Engineer with expertise in Databricks to manage and optimise the platform's performance and costs at Deloitte. Engaging in operational excellence and analysis of performance metrics.
Cloud Engineer at SDG Group managing data volume optimization for GCP. Designing workflows and ensuring efficient data processing in a hybrid work environment.
Product Reliability Engineer role at Kraken focused on scalable energy management solutions. Collaborating with teams to ensure product performance and system resilience in a hybrid work environment.
Frontend Platform Developer at Borrowell building foundational components for product teams in a remote - first environment. Collaborating with cross - functional teams to enhance code quality and app reliability.
AI Platform Engineer role at RAVL focused on developing GenAI platforms and agent - based architectures. Building scalable integration layers for enterprise AI in a growing engineering team.
ML Platform Engineer at RAVL designing scalable machine learning platforms for financial services. Leading development on Azure Databricks and optimizing MLOps pipelines for enterprise environments.
Lead Platform Engineer managing cloud - native infrastructure at InsurTech company, driving architectural decisions and enhancing platform reliability under a culture of simplicity and care.