Full-Time

Staff Network Engineer

Quantifind

Quantifind

51-200 employees

AI-powered SaaS for AML/KYC risk screening

Compensation Overview

$195k - $220k/yr

+ Equity + Bonus + Commission

No H1B Sponsorship

Palo Alto, CA, USA

Hybrid

Category
DevOps & Infrastructure (1)
Required Skills
TCP/IP
Kubernetes
Python
Git
Node.js
Apache Spark
Postgres
Docker
AWS
Scala
Nagios
Jenkins
Ansible
Hadoop
Linux/Unix
Requirements
  • Bachelor’s degree in a technical field and have at least 8 years of professional industry experience as a Network Engineer
  • Professional experience with Dell OS10, Dell network switches, and PAN firewalls
  • Professional experience with Cloud-based Web Application Firewalls such as Cloudflare or Akamai
  • Deep understanding of network security systems, intrusion detection systems and protocols including ACE, ACS, VPN, GRE, IPSEC, IKE, TACACS, RADIUS, ACLs, 802.1x, audits, log files
  • Understanding of networking and routing protocols such as TCP/IP, BGP4 (multi-homing), OSPF (multi-area), RIP, ISIS
  • Knowledge of Ethernet LAN switching protocols and standards including VLANs, VLAN aggregation, EtherChannel, PVLANs, Spanning Tree & Rapid Spanning Tree, 802.1Q
  • Strong scripting experience in automated firewall policy management and network automation and analytics using Ansible and Python
  • Professional experience using Ansible for configuration management tools
  • Experience with Git workflows to foster collaboration
  • Experience with Linux and Unix style network equipment operating systems at the command line
  • Professional experience with Public Cloud platforms (IaaS/PaaS), especially Amazon Web Services
  • Professional success in data center network design, build-out, and standard methodologies
  • Experience with multi-tier architectures, including standard methodologies for tier isolation
  • Experience with uptime/availability engineering, performance metrics, and monitoring
  • Professional experience using monitoring tools like Nagios, Munin, and Zenoss
  • Professional experience in the design, implementation and testing of business continuity and disaster recovery plans
  • Well-versed in commercial information security requirements and standards, including risk analysis, compliance obligations, and periodic change reviews
  • A professional information security certification is a plus (CISSP, CRISC, CISM)
  • Excellent communication, presentation and collaborative problem-solving skills
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Responsibilities
  • Design and implement security for our SaaS applications and services exposed via Application Programming Interfaces
  • Design and implement secure, high performance networks for Machine Learning driven Internet facing SaaS applications and APIs
  • Mentor other engineers and communicate with other technical specialties as part of our DevOps team
  • Plan and craft projects and analyze existing network systems and procedures for security and performance efficiencies
  • Build and operate secure networks in data centers and cloud environments and maintain integrations with Web Application Firewalls
  • Develop and extend monitoring for incident reporting and response
  • Ensure networking infrastructure aligns with security policies, risk and compliance
  • Work with Dell switches, PAN firewalls, and cloud based Web Application Firewalls
  • Deploy to our own data centers and to Amazon Web Services and use technologies including Ubuntu, Docker, Kubernetes, Ansible, Git, Hadoop, Spark, Ganeti, Nagios, PostgreSQL, Jenkins, Scala and NodeJS
  • Participate in disaster recovery and business continuity testing
  • Collaborate with teams across the organization to improve the design, performance, testing and security of the network systems that you deploy and operate
Desired Qualifications
  • Professional information security certification is a plus (CISSP, CRISC, CISM)
  • Experience mentoring other engineers to help them grow
  • Experience with advanced network security design patterns and zero trust architectures

What Quantifind does: It builds a SaaS platform for financial crime risk screening and investigations, helping banks and other financial institutions meet AML and KYC requirements. How it works: Graphyte uses AI and external data to analyze entities, perform risk scoring, and automate screening from start to finish, reducing false positives and improving entity resolution. How it differs from competitors: It combines decade-long data science expertise with AI-driven risk intelligence and automated workflows to streamline screening and adverse media checks, aiming for more efficient investigations and better accuracy than traditional rule-based or manual systems. What its goal is: To provide financial institutions with an AI-powered, cost-effective tool that automates risk assessments, credit checks, and adverse media screening to improve compliance, save time, and reduce regulatory risk.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$113.3M

Headquarters

Palo Alto, California

Founded

2009

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $22M from Deloitte Ventures and Stephens Group for global expansion.
  • Lieutenant General Erik C. Peterson joined to advance national security missions.
  • Dime Community Bank selected Graphyte to strengthen sanctions screening.

What critics are saying

  • OpenAI Copilot erodes 90% auto-resolution edge as Wells Fargo switches in 6-12 months.
  • FinCEN AI rule rejects black-box Name Science, forcing retrofits in 12-18 months.
  • Palantir replicates OpenSanctions integration, winning FBI contracts in 6-12 months.

What makes Quantifind unique

  • Graphyte platform uses proprietary Name Science for 92% entity resolution accuracy.
  • Agentic AI resolves 90% of risk cases automatically from 2 million entities.
  • Integrates unstructured external data with internal sources for hidden risk discovery.

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Your Connections

People at Quantifind who can refer or advise you

Benefits

Flexible Work Hours

Remote Work Options

Company Equity

Unlimited Paid Time Off

401(k) Company Match

Growth & Insights and Company News

Headcount

6 month growth

-3%

1 year growth

0%

2 year growth

-1%
Cision
Mar 17th, 2026
Quantifind advances agentic execution, analyzing 2 million entities while automatically resolving 90% of risk cases - dramatically reducing manual review and expanding risk Decision Capacity.

Quantifind advances agentic execution, analyzing 2 million entities while automatically resolving 90% of risk cases - dramatically reducing manual review and expanding risk Decision Capacity. Mar 17, 2026, 09:05 ET While maintaining 98% precision in escalated matches, agents discovered only 0.13% of the population required analyst review. PALO ALTO, Calif., March 17, 2026 /CNW/ - Quantifind today unveiled advancements in governed agentic risk execution within its Graphyte(TM) AI Risk Intelligence Platform. The enhancements enable financial institutions and government organizations to transform manual risk operations into efficient, scalable, policy-aligned decision execution. Quantifind agentic coordinates specialized AI agents that perform multi-step risk operations across enterprise environments. Operating within governed policy controls, these agents evaluate signals, apply institutional risk criteria, and execute structured compliance actions across workflows such as screening, monitoring, investigations, and case resolution. In a recent large-scale deployment evaluating 2 million entities, Quantifind agents generated 26,780 risk cases while escalating only 2,658 cases for human analyst review. This means just 0.13% of the population required analyst involvement, while approximately 90% of cases were resolved automatically. Risk signals were identified in only 1.3% of the evaluated population, illustrating how meaningful risk is typically hidden within massive volumes of benign activity. Organizations face increasing pressure to manage growing volumes of risk cases, transactions, and counterparties while maintaining rigorous compliance oversight. Traditional approaches rely heavily on manual review and fragmented intelligence systems, limiting scalability and compromising risk decision-making. Powered by Quantifind's risk-specialized intelligence foundation, the Graphyte platform enables agents to continuously evaluate risk signals and execute policy-aligned actions with transparency and control. In operational deployments, this approach has demonstrated up to 90% reductions in manual review workload, 97% reductions in review effort compared with legacy screening environments, and 96% precision in escalated matches, allowing analysts to focus on the highest-risk investigations. Unlike emerging agentic AI approaches that layer large language models onto legacy screening systems, Quantifind agentic is engineered AI risk intelligence purpose-built for high-stakes financial and government environments. The result is defensible agentic execution aligned to institutional policy and audit requirements. "The power of agentic offerings begins with the stack that feeds the agents" said Ari Tuchman, CEO of Quantifind. "Our agentic execution relies on a proprietary signal extraction layer that optimizes for accuracy, scalability and efficiency. Organizations can efficiently isolate meaningful risk within massive populations while dramatically reducing the operational cost of manual review." Quantifind's approach spans the full lifecycle of risk evaluation, from data ingestion and intelligence analysis through automated decision support and case disposition, enabling organizations to expand decision capacity while maintaining the transparency and oversight expected by regulators. Key Benefits: * Reduce Operational Costs While Scaling Risk Operations by replacing large volumes of manual review with governed automation that expands control coverage and increases operational capacity. * Increase Speed Without Sacrificing Governance through continuous evaluation of customers, transactions, and counterparties operating within defined institutional policy boundaries. * Reduce Revenue Friction Across the Customer Lifecycle with faster onboarding, payment clearance, investigations, and case resolution that improve customer experience and revenue velocity. * Expand Decision Capacity Beyond Human Limits with enterprise-scale risk evaluation operating within configured authority thresholds and escalation rules. * Ensure Audit and Regulatory Alignment through transparent evidence generation, documented search coverage, and structured reasoning aligned with Model Risk Management expectations. "With over 90% of financial institutions planning to implement agentic AI in the next two years, this is no longer a future bet. It's a competitive requirement. Quantifind's latest enhancements show a clear understanding of what regulated institutions actually need: AI built by experts, for experts." - Michael Shepard, former Global Head of Financial Crimes at Deloitte About Quantifind Quantifind is the leader in AI-powered risk intelligence and governed agentic automation. We deliver purpose-built solutions that transform how financial institutions and government agencies detect, assess, and mitigate financial crime and national security threats - including the complex networks that enable illicit finance, corruption, sanctions evasion, and terrorism. The Graphyte(TM) AI Risk Intelligence Platform unifies internal, third-party, and open-source data into a single, precise risk intelligence system powered by advanced entity resolution, Name Science(TM), dynamic risk typologies, and real-time network graph intelligence. SOURCE Quantifind

PR Newswire
Mar 17th, 2026
Quantifind's AI agents resolve 90% of risk cases automatically while reviewing just 0.13% of 2M entities

Quantifind has unveiled advancements in its Graphyte AI Risk Intelligence Platform, demonstrating that agentic AI can automatically resolve 90% of risk cases whilst maintaining 98% precision in escalated matches. In a deployment evaluating 2 million entities, the system generated 26,780 risk cases but escalated only 2,658 for human review, meaning just 0.13% required analyst involvement. The platform uses specialised AI agents that perform multi-step risk operations within governed policy controls, evaluating signals and executing compliance actions across screening, monitoring and investigations. The approach has shown up to 90% reductions in manual review workload and 97% reductions in review effort compared with legacy screening systems. Quantifind serves financial institutions and government organisations, offering purpose-built solutions for detecting financial crime and national security threats.

PR Newswire
Sep 9th, 2025
Quantifind Launches its AI-Native Case Accelerator to Redefine Case Management for Accuracy, Speed, and Scale

PALO ALTO, Calif., Sept. 9, 2025 /PRNewswire/ - Quantifind, the leader in financial crime and threat risk intelligence, today announced the next generation of its AI-native case acceleration technology, GraphyteQueue.

Prime Publishers
Aug 5th, 2025
Quantifind Joins Forces with OpenSanctions to Deliver the Gold Standard in Sanctions Compliance

The partnership integrates OpenSanctions' graph-based data into Quantifind's Graphyte(TM) platform, bringing unprecedented accuracy, data integrity, and auditability to compliance teams worldwide.

Estrella
Jul 30th, 2025
Sanctions Compliance Enters a New Era: Experts Urge AI Adoption and Unified Programs

At the recent Sanctions Convergence event, organized by Quantifind and Protiviti, experts from government, finance, and technology industries outlined the future of sanctions compliance.