# Security Engineer

**Company:** [DataVisor](https://hotfix.jobs/companies/datavisor)
**Location:** Mountain View, CA
**Role:** Security Engineering
**Salary:** $120k – $150k/yr
**Experience:** 5+ years
**Skills:** AWS, GCP, IAM, Amazon Ec2, Amazon S3, Amazon Vpc, Google Compute Engine, Google Cloud Storage, Cspm, SIEM, Soar, Amazon Bedrock, Model Context Protocol, Threat Modeling, Nist Ai Rmf
**Posted:** 2026-08-21

> The Security Engineer will secure AWS and Google Cloud environments, monitor infrastructure, and assess AI/LLM deployments, MCP integrations, and agentic workflows. The role requires 5+ years of security engineering experience, including 2+ years in AI/ML security, plus cloud security and compliance expertise.

## Job Description

## Responsibilities
- Assess and secure AI/LLM deployments and integrations, including Model Context Protocol (MCP) and other LLM connectors, through threat modeling, guardrail design, and risk assessment.
- Perform daily security monitoring across cloud and infrastructure using CSPM, SIEM, log analysis, cloud-native threat detection, database activity monitoring, and SOAR.
- Analyze security alerts generated by cloud infrastructure and applications in real time.
- Own security across AWS and Google Cloud environments, including IAM, compute, storage, networking, workload configurations, security baselines, and vulnerability remediation.
- Participate in incident management, change management, security policy management, and 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 on AI/ML security.
- Hands-on experience securing AWS and Google Cloud environments, including IAM, EC2, S3, VPC, Compute Engine, Cloud Storage, and equivalent services.
- Experience with CSPM for continuous detection and remediation of cloud misconfigurations.
- Experience securing AI/LLM deployments, including foundation models such as Claude on Amazon Bedrock, with guardrails, input/output filtering, prompt-injection defense, output validation, and data-egress controls.
- Experience assessing MCP and LLM connector integrations against OWASP guidance, including prompt injection, cross-connector chaining, OAuth scope minimization, tool-access boundaries, and untrusted-content handling.
- Working knowledge of 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.
- Understanding of cryptography, authentication, authorization, security protocols, vulnerability classes, web application security, and cloud service security.
- Understanding of common security vulnerabilities, risks, countermeasures, and compensating controls.
- Knowledge of IPv4/IPv6, TCP/UDP, DHCP, HTTPS, FTP, and similar IP networking protocols.

## Compensation & Benefits
- Salary range: USD 120,000–150,000 per year.
- Total compensation includes base salary, performance bonuses, and equity options.
- Comprehensive medical, dental, and vision insurance.
- 401(k) retirement savings plan.
- Discretionary paid time off and paid holidays.

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