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Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Deployment Engineer

Implementation & Technical Account ManagementUpdated on Nov 11
Full-timeRemote in USARemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience.
  • At least 5 years of experience in technical support, systems administration, cloud operations, implementation, or a similar enterprise role, ideally supporting large-scale or Fortune 500 deployments.
  • A background in cybersecurity, including threat detection, vulnerability management, encryption standards, and compliance frameworks such as SOC 2 or GDPR.
  • Strong Linux administration experience in production, including configuration, performance tuning, hardening, and troubleshooting.
  • Hands-on Docker and containerization experience, including building, deploying, and managing applications in orchestrated environments such as Kubernetes or similar.
  • Working knowledge of AWS, Azure, or GCP and infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation.
  • In-depth networking fundamentals, including TCP/IP, firewalls, VPNs, load balancers, and tools such as Wireshark and tcpdump.
  • Basic scripting ability in Bash, Python, or PowerShell for automation, diagnostics, and workflow support.
  • Demonstrated self-learning through labs, certifications such as AWS Solutions Architect or Linux+, personal projects, or open-source work.
  • Experience comparable to a junior cloud administrator in an enterprise setting, including multi-tenant environments, resource allocation, and compliance requirements.
  • Familiarity with identity management, including RBAC, SSO (OAuth, SAML), and directory services (Active Directory, LDAP).
  • Basic database literacy, including relational versus schemaless stores, schema, querying, and light administration.
  • Ability to run a customer-facing technical engagement to a 30-day finish line with minimal supervision.

Responsibilities

  • Lead customer and internal account-team kickoff meetings to confirm scope, environments, owners, identity and access paths, compliance constraints, and go-live criteria.
  • Project-manage the 30-day onboarding plan and track blockers such as credentials, firewall changes, identity-provider claims, and change windows.
  • Provide best-practices expertise and assist with deployment and optimization of the customer environment.
  • Ensure successful production deployment against the customer’s initial testing goals, as the onboarding success criteria.
  • Diagnose and resolve implementation failures across cloud infrastructure, networking, and security with the rigor used on escalated support tickets.
  • Perform root-cause analysis on first-time integration and deployment issues to prevent recurrence after handoff.
  • Work in Linux production environments, including server configuration, performance tuning, security hardening, and troubleshooting.
  • Deploy and manage containerized workloads with Docker and orchestrated environments such as Kubernetes.
  • Provision and troubleshoot penetration-testing configurations in AWS, Azure, or GCP.
  • Assist in troubleshooting network issues that commonly block go-live, including TCP/IP, firewalls, VPNs, and load balancers.
  • Configure and validate identity paths required for onboarding, including RBAC, SSO (OAuth, SAML), and directory services (Active Directory, LDAP).
  • Apply NodeZero expertise to scope and configure initial tests.
  • Collaborate with Customer Success, Engineering, Product, and Sales to unblock implementation issues affecting more than one customer.
  • Advocate for customer-specific changes or product improvements as required.
  • Mentor junior onboarding or support engineers on first-time deployment patterns.
  • Stay current on cloud, container, and security practices.
  • When bandwidth allows, assist the broader support team with standard support case management and resolution.

Desired Qualifications

  • Proven experience integrating and troubleshooting APIs, including REST services, authentication mechanisms, and API-driven automations in enterprise applications.
  • Familiarity with observability tools such as Datadog for monitoring, logging, and alerting in distributed systems.
  • Basic experience with managed databases such as Amazon RDS, including setup, backups, scaling, and query optimization.
  • Broader coding ability in Python, JavaScript, or Go, including custom tools or scripts that automate implementation or support work.
  • Prior onboarding, professional services, or technical account management work with a defined time-to-go-live.
  • Experience creating reusable assets such as validation scripts, Terraform modules, Datadog dashboard and alert packs, and customer-ready runbooks.

About the Company

Horizon3.ai

Autonomous pentesting SaaS for vulnerabilities

Horizon3.ai specializes in cybersecurity by offering NodeZero, a SaaS platform for autonomous penetration testing. It lets enterprises simulate cyber-attacks on their own systems in a self-service way, without installing persistent agents, and without ongoing human intervention. The platform works by running security-focused attack simulations in production environments to uncover exploitable vulnerabilities and weak controls, delivering vulnerability assessments, threat simulations, and compliance-oriented testing through tiered subscription plans. This approach differentiates Horizon3.ai from traditional pentesting by being self-service, agentless, and safe to run in live environments, while targeting enterprise customers that must meet standards such as PCI DSS. The company aims to help organizations improve their security posture, prioritize remediation, and maintain regulatory compliance by continuously identifying and fixing weaknesses.

Company size
501-1,000
Company stage
Series E
Total funding
$437M
Headquarters
San Francisco, CA
Founded
2019

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