The primary responsibilities include designing, implementing and maintaining an enterprise identity and access management system that will eventually scale up to 500,000 users leveraging our current stack of Idira (CyberArk), AWS Cognito, AWS Identity Center and Active Directory.
Compensation
$102,062.00 - $158,178.00
Responsibilities
Designing, implementing and maintaining an enterprise identity and access management system
Collaborating with data engineering, product, infrastructure and other stakeholders to architect solutions and shape system design
Working with IT operations and cybersecurity operations to ensure ongoing compliance with NEA security
Analyzing and preparing status reports on security matters
Monitoring and recommending solutions for correcting issues related to security technology performance and capabilities
Requirements
Bachelor's degree in computer science or a related discipline or an equivalent combination of education and experience
Senior Professional Services Consultant - AI Security to join the team, building long-term, trusted advisor relationships with enterprise Public Sector customers, serving as the primary technical authority and end-to-end delivery owner for tailored AI security solutions.
Compensation
Base Pay Range
$143,500—$205,000 USD
Responsibilities
Build long-term, trusted advisor relationships with customers deploying Zscaler AI Guard across both Proxy Mode and Developer/DAS Mode, AI Protect for AI asset management and visibility, and SPLX automated probing across AWS, Azure, and GCP and Kubernetes environments
Execute automated AI red-teaming and lab replication by designing cloud networking and firewall connectivity for SPLX workers to reach internal AI applications, configuring target endpoints and probes for vulnerability reporting, and replicating complex customer environments for validation
Collaborate with stakeholders to envision and implement future-proof, transformative processes
Advocate customer needs with cross-functional teams to influence product development
Produce documentation, best practices, and demos to enable organizational growth
Requirements
Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related field
Responsible for delivering high-quality work products within defined timelines while providing technical leadership to the PlainID team.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $113,300 to $188,900.
Responsibilities
Configure and implement the PlainID Authorization Platform within client environments
Lead technical discussions with Enterprise architects and IAM stakeholders
Lead the design and roadmap for perimeter/DMZ architectures across on‑premises and cloud environments, driving Zero Trust‑aligned security and self‑service capabilities.
Application Security Architect supporting a transformation program in engineering and automation, collaborating with international teams to enhance security architecture and operations.
Compensation
$62-72 Per HR
Responsibilities
Collaborate with global teams to enhance security architecture and operations.
Guide the implementation of security protocols and ensure compliance with industry standards.
Oversee the configuration and management of secure API gateways.
Work with engineering teams to improve application firewall configurations.
Develop strategies to mitigate common security vulnerabilities.
Role: Java full stack
Location: Mt Laurel, NJ
Rate: $60/hr
Role Descriptions: "10+ years of software development experience.Expert-level experience in Java| Spring Boot| and Microservices architecture.Proven experience designing enterprise-scale distributed systems.Strong expertise in: JavaScript | TypeScript| React| Angular| or Vue.js |Node.jsDeep knowledge of API design| API Gateways| webhooks| and integration patterns.Extensive hands-on experience with Kafka| MQ| and event-driven architectures.Strong expertise in Kubernetes| Docker| and container orchestration. Experience designing and implementing cloud-native solutions on AWS or Azure.Advanced understanding of CI/CD| DevOps| Infrastructure as Code| and deployment automation.Experience with security| scalability| resiliency| observability| and performance tuning.Ability to drive architecture discussions and technology decisions.Experience leading development teams and mentoring engineers."
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