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Tech Stack
Tools & technologiesAWSAzureCloudCyber SecurityGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- Collaborate with Cyber Engineering, Operations, Architecture, and Global Infrastructure teams
- Deploy and operate secure cloud application infrastructure aligned with cybersecurity initiatives and business needs
- Design, develop, and maintain data pipelines for vulnerability, configuration, and asset data
- Query and analyze high-volume security datasets, including data from AI-enabled and modern scanning tools
- Correlate and prioritize vulnerability data to distinguish genuine risk signals from background noise
- Maintain expertise in vulnerability data across multiple asset classes
- Evaluate and recommend defense-in-depth compensating controls across the technology stack
- Provide operations and engineering support for critical security systems and services
- Lead cloud solution cost-benefit evaluations and assess external cloud platform and infrastructure services
- Identify IT infrastructure areas with the highest potential return for cloud deployment
- Facilitate global information technology strategies, initiatives, plans, operations, and procedures
- Execute vulnerability analysis and exploitation testing of applications, operating systems, and networks
- Report intrusion or incident paths and methods discovered through testing
- Design, develop, and implement cyber countermeasures, systems integrations, and information operations tools
- Resolve and document complex malware and intrusion issues
- Serve as an internal information security consultant on standards, complex issues, and best practices
- Conduct testing and analysis of complex software systems to determine functionality and intent
- Communicate with cybersecurity risk and security operations teams to improve enterprise security posture
- Coach, review, and delegate work to lower-level IT security professionals
Requirements
What you’ll need- 5+ years of experience in Information Security or IT Technology
- 3+ years of Python coding experience
- Experience designing and maintaining data pipelines that extract, transform, and load vulnerability, configuration, and asset data at scale across heterogeneous environments
- Experience applying data science techniques to correlate and prioritize large, noisy vulnerability datasets
- Hands-on AWS cloud experience
- Experience querying and analyzing high-volume security datasets to identify systemic exposure trends and emerging risk clusters
- Experience with cloud technologies such as AWS, Azure, and GCP
- Security certifications such as CKA, CKS, CISSP, GIAC, AWS, or Azure are preferred
- Experience maintaining deep domain expertise in vulnerability data across asset classes
- Experience evaluating and recommending defense-in-depth compensating controls across network, API, ingress, application, OS/kernel, and orchestration/control plane layers
- University degree is preferred
- Excellent verbal, written, and interpersonal communication skills
- Ability to provide strong customer service
Benefits
Comp & perks- Superior retirement program
- Competitive health, wellness, and work life offerings
- Financial, physical, emotional, and overall well-being support
- Comprehensive Total Rewards package
- Incentive program linked to performance may be available, including annual discretionary incentive programs and non-annual incentive plans
- Learning experiences and development pathways
- Accessibility support and reasonable accommodation for the application process
- Drug-free and smoke-free workplace