DataVisor

Security Engineer

DataVisor • $120K — $150K *
Mountain View, CA 94040In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Security, or a related technical field
  • 5+ years of security engineering experience, with 2+ years in AI/ML security
  • Hands-on experience securing AWS and GCP environments with core services knowledge
  • Experience with CSPM for cloud misconfiguration detection and remediation
  • Experience in securing AI/LLM deployments, including guardrail implementation
  • Knowledge of AI security frameworks and standards like NIST AI RMF and OWASP LLM Top 10
  • Ability to threat-model AI systems and conduct risk assessments

Responsibilities

  • Assess and secure AI/LLM deployments through threat modeling and risk assessment
  • Monitor cloud and infrastructure security daily, using CSPM, SIEM, and other tools
  • Analyze security alerts in real-time using SIEM tooling
  • Manage security of AWS and GCP environments, enforcing best practices and remediating vulnerabilities
  • Participate in incident management and change management processes
  • Contribute to compliance programs such as SOC 2, PCI DSS, and ISO 27001

Benefits

  • Comprehensive medical, dental, and vision insurance coverage
  • 401(k) retirement savings plan available
  • Discretionary paid time off (DTO) plus paid holidays
Full Job Description
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 GCP 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 GCP environments, including core services such as IAM, EC2, S3, VPC, and their GCP 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.

About DataVisor

DataVisor is an artificial intelligence company that provides fraud detection and prevention solutions for financial services, e-commerce, and social platforms. The company was founded in 2013 and is headquartered in Santa Clara, California. DataVisor uses machine learning algorithms to analyze large amounts of data and detect fraudulent activities in real-time. The company's solutions can help businesses reduce fraud losses, improve customer experience, and increase operational efficiency. DataVisor has partnerships with major financial institutions and e-commerce companies and is backed by several venture capital firms.
Learn more about DataVisor
Size
200 employees
Industry
Information Technology
Founded
2013
* Ladders Estimates

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