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# Security Engineer

- **Company:** Datavisor, Inc.
- **Location:** Mountain View, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Cloud Engineering, Cloud Storage, Cyber Security, Identity and Access Management, Intrusion Detection and Prevention, Log Analysis, Network Service, OAuth, Open Web Application Security, PCI Data Security Standards, Security Information and Event Management, Systems Integration, Cloud Platform System, Large Language Models, Amazon Virtual Private Cloud (VPC), Information Technology, Amazon Bedrock, Claude, Database Monitoring, Model Context Protocol, Security Orchestration, Automation & Response
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_Workable39675-6C9769426A

## About the Role

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

## 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 +