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Security Engineer

Mountain View, CA, US • Posted 14 hours ago • Updated 1 hour ago

Full Time

On-site

USD $120,000.00 - 150,000.00 per year

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Job Details

Skills

SaaS
Fraud
Use Cases
Big Data
FOCUS
Network
Collaboration
Risk Assessment
Cloud Security
Log Analysis
Database
Orchestration
SIEM
Real-time
IaaS
SAN
Change Management
Security Policy
Management
Incident Management
System On A Chip
PCI DSS
ISO/IEC 27001:2005
Regulatory Compliance
Computer Science
Information Security
Security Engineering
Machine Learning (ML)
Amazon EC2
Amazon S3
Google Cloud Platform
Google Cloud
Cloud Storage
Virtual Private Cloud
Hardening
Amazon Web Services
OAuth
Risk Management Framework
RMF
OWASP
Microsoft Certified Professional
ATLAS
Threat Modeling
Workflow
Artificial Intelligence
Cryptography
Authentication
Authorization
Web Applications
Cloud Computing
Computer Networking
IPv4
IPv6
TCP
UDP
DHCP
HTTPS
FTP
Insurance

SaaS
Fraud
Use Cases
Big Data
FOCUS
Network
Collaboration
Risk Assessment
Cloud Security
Log Analysis
Database
Orchestration
SIEM
Real-time
IaaS
SAN
Change Management
Security Policy
Management
Incident Management
System On A Chip
PCI DSS
ISO/IEC 27001:2005
Regulatory Compliance
Computer Science
Information Security
Security Engineering
Machine Learning (ML)
Amazon EC2
Amazon S3
Google Cloud Platform
Google Cloud
Cloud Storage
Virtual Private Cloud
Hardening
Amazon Web Services
OAuth
Risk Management Framework
RMF
OWASP
Microsoft Certified Professional
ATLAS
Threat Modeling
Workflow
Artificial Intelligence
Cryptography
Authentication
Authorization
Web Applications
Cloud Computing
Computer Networking
IPv4
IPv6
TCP
UDP
DHCP
HTTPS
FTP
Insurance

Summary

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering the total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results driven. Come join us!

We are seeking a Security Engineer who possesses expertise in cloud environments and a strong focus on securing AI/LLM deployments. You will be part of a team that protects system boundaries, keeps computer systems and network services hardened against attacks, and secures sensitive data. You will collaborate closely with our team to ensure that our products, cloud environments, and AI integrations are built to industry security standards and best practices.

RESPONSIBILITIES

Assess and secure AI/LLM deployments and integrations - including Model Context Protocol (MCP) and other LLM connector requests - through threat modeling, guardrail design, and risk assessment prior to approval
Perform daily security monitoring across cloud and infrastructure, spanning cloud security posture management (CSPM), SIEM and log analysis, cloud-native threat detection, database activity monitoring, and security orchestration, automation, and response (SOAR)
Leverage SIEM tooling for real-time analysis of security alerts generated by our cloud infrastructure and applications
Own the security of our entire AWS and Google Cloud Platform environments - including IAM, compute, storage, networking, and workload configurations - hardening the footprint, enforcing baselines, and remediating misconfigurations and vulnerabilities across both clouds
Participate in incident management, change management, security policy management, and security incident response
Contribute to SOC 2, PCI DSS, and ISO 27001 compliance programs

Requirements

Bachelor's degree in Computer Science, Information Security, or a related technical field
5+ years of security engineering experience, including at least 2 years focused specifically on AI/ML security
Hands-on experience securing AWS and Google Cloud Platform environments, including core services such as IAM, EC2, S3, VPC, and their Google Cloud Platform equivalents (IAM, Compute Engine, Cloud Storage, VPC)
Experience with CSPM for continuous detection and remediation of cloud misconfigurations
Experience securing AI/LLM deployments in cloud environments - including deploying and hardening foundation models such as Claude on AWS (e.g., Amazon Bedrock) with guardrails, input/output filtering, prompt-injection defense, output validation, and data-egress controls
Hands-on assessment of MCP and LLM connector integrations against OWASP guidance - covering prompt injection, cross-connector chaining, OAuth scope minimization, tool-access boundaries, and untrusted-content handling
Working knowledge of AI security frameworks and standards: NIST AI RMF, OWASP LLM Top 10, OWASP guidance for MCP and agentic systems, and MITRE ATLAS
Ability to threat-model and risk-assess AI systems, agentic workflows, and third-party AI integrations prior to approval
Understanding of core security concepts - cryptography, authentication, authorization, security protocols, and vulnerability classes - as applied to web application and cloud service security
Deep technical understanding of common security vulnerabilities and risks, along with countermeasures and compensating controls
Solid grasp of IP networking protocols: IPv4/IPv6, TCP/UDP, DHCP, HTTPS, FTP, and similar

Benefits

Salary ranges between USD 120,000 -150,000 /year
Total compensation includes base salary, performance bonuses, and equity options.
Comprehensive medical, dental, and vision insurance coverage.
401(k) retirement savings plan available.
Discretionary paid time Off (DTO) plus paid holidays.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80184721
Position Id: b8ed813fac1dd1219b4f51c6f445bf23
Posted 14 hours ago

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