Assist in the planning, design, development, testing, and management of security tools and controls that provide protection and visibility of our cloud environments
Job Summary
Assist in the planning, design, development, testing, and management of security tools and controls that provide protection and visibility of our cloud environments.
Implement security controls for AI/ML workloads, including protecting data pipelines, model services, and AI-integrated applications, and identify/mitigate AI-specific risks.
Utilize CNAPP platforms and related tools to identify and remediate risks across cloud, container, and AI environments, and support monitoring, detection, and response capabilities.
Matching Summary
Assist in the planning, design, development, testing, and management of security tools and controls that provide protection and visibility of our cloud environments.
Skills & Requirements
Must-have
Cloud security controls
Multi-cloud and hybrid environments
AI/ML workloads security
DevSecOps and IaC practices
CNAPP platforms usage
Containerized environments security
Automation solutions development
Nice-to-have
AI-enabled attack techniques
Next-generation security domains
Threat modeling and risk assessments
Scalable cloud architectures
Serverless and event-driven architectures
Key Requirements
5–8+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Information Security, or related field (or equivalent experience)
Experience designing and securing cloud and hybrid environments (AWS, Azure, GCP, On-Premise)
Proficiency in programming/scripting languages for cloud APIs
Strong understanding of cloud security fundamentals
Experience implementing DevSecOps practices and securing IaC