Security Engineer, DataVisor
$120-150k
+ Performance bonuses and equity options
More information about location
Fraud & AML detection platform
Be an early applicant
Fraud & AML detection platform
101-200 employees
Be an early applicant
$120-150k
+ Performance bonuses and equity options
More information about location
101-200 employees
Company mission
To build and restore trust online.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
As use of the internet rises, so too does the opportunity for fraud - with criminals exploiting the gaps that come with novel digital environments. DataVisor provides a fraud detection solution that leverages machine learning to identify threats. This helps to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.
Traditional fraud solutions were not designed to handle digital data, and are ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify patterns which suggest fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen.
Another problem has been that, in the name of security, systems might delay good customers from accessing services. With DataVisor, however, this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.
DataVisor has seen considerable investment that has fuelled its continued expansion. It also boasts an impressive list of customers and partnerships. For example, a partnership with Equifax allowed it to extend it analytics and fraud detection capabilities. It has also launched the industry’s first unified, AI-powered SAR filing solution.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Dec 2022
$40m
LATE VC
Feb 2018
$40m
SERIES C
Total funding: $94.5m
Company benefits
- Stock Options
- Commuter Passes
- Paid Time Off
- Catered Lunch and Dinner
- Team and Company Outings
Company HQ
Mountain View, CA
Leadership
Yinglian Xie
(CEO & Co-founder)Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.
Fang Yu
(CPO & Co-founder)Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.
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