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Job Description
- Req#: 4626148006
Employer Industry: Cloud Security
Why consider this job opportunity:
- Salary up to $220,000
- Opportunity to work on cutting-edge projects in cloud and AI security
- Comprehensive benefits package including medical, dental, and vision insurance
- Flexible paid time off plus 11 paid holidays
- Chance to make a significant impact in a fast-growing startup environment
- Collaborative and innovative team culture
What to Expect (Job Responsibilities):
- Conduct deep technical research to identify novel risks and attack vectors in cloud and AI-native environments
- Collaborate with Product and Engineering teams to translate research findings into product capabilities
- Deliver compelling proofs of risk and technical proofs of concept to demonstrate impact
- Ensure comprehensive risk coverage by supporting investigations of new and complex product scopes
- Articulate and prioritize high unaddressed risk areas within the organization
What is Required (Qualifications):
- 5+ years of hands-on experience in security or security research relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.)
- Strong skills in scripting languages (e.g., Python, Go) and query languages (e.g., KQL, SQL)
- Proven ability to independently manage complex research projects from concept to execution
- Excellent written and verbal communication skills for effective collaboration with cross-functional teams
How to Stand Out (Preferred Qualifications):
- Specialized knowledge or research experience in AI security within enterprise settings
- Experience presenting at industry conferences or authoring technical publications
- Familiarity with conducting data-driven research using large-scale security telemetry
#CloudSecurity #AIResearch #CareerOpportunity #CompetitivePay #InnovativeCulture
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We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."About the company
Agentless cloud security and compliance for AWS, Azure, Google Cloud, and Kubernetes.
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