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Charlie Health

Telehealth mental health IOP for youth

Senior Corporate Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of experience in security engineering, corporate security, infrastructure security, enterprise security, IT security, cloud security, or a related technical discipline.
  • Deep hands-on experience designing, building, and operating technical security controls in enterprise environments.
  • Experience securing identity, endpoints, SaaS platforms, collaboration tools, cloud-connected services, and internal systems.
  • Strong experience with identity and access management concepts, including multi-factor authentication, conditional access, privileged access, lifecycle automation, service accounts, and least privilege.
  • Experience working with security tools such as managed detection and response platforms, endpoint detection and response, security information and event management, cloud security tools, endpoint management tools, vulnerability management tools, or data loss prevention systems.
  • Experience with security platforms and telemetry sources such as Expel MDR, SentinelOne, Wiz, CloudTrail, Sumo Logic, or similar tools.
  • Experience with endpoint security, mobile device management, secure configuration management, and vulnerability remediation across Mac, Windows, or mobile environments.
  • Experience using scripting, APIs, or automation tools such as Python, Bash, PowerShell, Workato, Terraform, REST APIs, webhooks, or JSON.
  • Familiarity with detection engineering, alert tuning, incident response workflows, and security operations processes.
  • Strong understanding of Zero Trust principles, identity-centric security, least privilege, device trust, and secure system design.
  • Ability to work cross-functionally with IT, Security, Engineering, Compliance, and business stakeholders.
  • Strong documentation, ownership, judgment, and ability to operate independently in ambiguous environments.
  • Must live within a 75-minute commute of the NYC office near Union Square and be able to work in-office four days per week.

Responsibilities

  • Design, build, and operate technical security controls across the corporate technology environment.
  • Engineer scalable security solutions for identity, endpoints, SaaS platforms, cloud-connected services, collaboration tools, and internal systems.
  • Translate security requirements into reliable technical controls, automations, detections, and operational workflows.
  • Partner with IT Engineering to embed secure-by-design practices into enterprise systems, integrations, and infrastructure.
  • Establish control patterns that improve security posture, operational efficiency, auditability, and resilience.
  • Design and improve identity and access controls across workforce systems, SaaS applications, and privileged access workflows.
  • Implement and mature controls for multi-factor authentication, conditional access, device trust, role-based access, least privilege, service accounts, and lifecycle automation.
  • Partner with IT and business teams to improve joiner, mover, leaver, access review, and elevated access processes.
  • Advance the Zero Trust strategy through identity-centric control design, continuous verification, and measurable trust signals.
  • Engineer and improve security controls across Mac, Windows, mobile, and BYOD environments.
  • Partner with endpoint engineering teams to improve secure configuration baselines, mobile device management policy, endpoint detection and response coverage, device compliance, and vulnerability remediation.
  • Assess and improve the security posture of corporate SaaS platforms, integrations, APIs, and service accounts.
  • Configure and operationalize security tooling across platforms such as SentinelOne, Wiz, Google Workspace, Okta, Jamf, Microsoft Intune, GitHub, Slack, Atlassian, and related systems.
  • Support cloud security visibility and control implementation across AWS and related services, including CloudTrail and other telemetry sources.
  • Build and improve detections, alerts, dashboards, runbooks, and response workflows across corporate security tooling.
  • Partner with Expel MDR and internal teams to improve telemetry quality, alert fidelity, investigation workflows, and response outcomes.
  • Support investigation and response for identity, endpoint, SaaS, email, cloud, data exposure, and corporate security events.
  • Tune security tools to reduce noise, improve signal quality, and increase confidence in control effectiveness.
  • Develop repeatable playbooks and operating procedures that improve incident readiness and operational consistency.
  • Help secure the use of AI tools, large language model platforms, AI agents, and AI-enabled workflows.
  • Evaluate and operationalize controls for AI data protection, prompt-layer security, access governance, logging, and usage monitoring.
  • Partner with IT, Security, Compliance, and business teams to define practical security patterns for tools such as OpenAI, Anthropic, LiteLLM, Prompt Security, Pillar, and related platforms.
  • Assess risks related to sensitive data exposure, protected health information leakage, model access, third-party integrations, and AI-enabled automation.
  • Stay current on emerging AI security risks, controls, and products, and translate relevant developments into practical improvements.
  • Design and operate controls that protect protected health information, employee data, clinician data, and sensitive company information.
  • Support data loss prevention strategy across SaaS platforms, endpoints, browsers, collaboration tools, email, cloud services, and AI systems.
  • Improve visibility into sensitive data movement, sharing patterns, and policy violations.
  • Partner with Compliance, Legal, IT, and business teams to support data protection requirements and reduce operational risk.
  • Build automations and reporting that improve data loss prevention response, control monitoring, and evidence collection.
  • Build automations that improve security operations, access management, control monitoring, remediation, and audit evidence collection.
  • Use APIs, scripting, webhooks, workflow platforms, and infrastructure-as-code practices to reduce manual work and improve control consistency.
  • Develop maintainable security workflows using tools and languages such as Python, Bash, PowerShell, Workato, Terraform, REST APIs, and JSON.
  • Apply modern engineering practices including version control, code review, documentation, testing, and repeatable deployment patterns.
  • Identify opportunities to simplify security processes while improving reliability and measurable outcomes.
  • Implement and maintain controls that support HIPAA, SOC 2, NIST, ISO 27001, and other applicable frameworks.
  • Support audit evidence collection, control testing, remediation planning, and continuous control monitoring.
  • Identify security risks, document findings, and partner with stakeholders to drive timely remediation.
  • Translate compliance and risk requirements into practical engineering solutions that support business operations.
  • Help define metrics that measure control health, security posture, operational maturity, and risk reduction.

Desired Qualifications

  • Experience operating at a Staff Engineer or senior technical leadership level.
  • Experience in healthcare, financial services, or other regulated environments.
  • Experience supporting HIPAA, SOC 2, NIST, ISO 27001, or similar security and compliance frameworks.
  • Experience securing enterprise AI tools, large language model platforms, AI agents, or AI-enabled workflows.
  • Exposure to AI platforms and security tools such as OpenAI, Anthropic, LiteLLM, Prompt Security, Pillar, or similar technologies.
  • Experience with data loss prevention, cloud access security broker, SaaS security posture management, browser security, SaaS posture management, or data discovery tools.
  • Experience securing Google Workspace, Okta, Jamf, Microsoft Intune, GitHub, Slack, Atlassian, AWS, or similar enterprise platforms.
  • Experience building automations using REST APIs, webhooks, JSON, service accounts, and API authentication patterns.
  • Experience partnering with managed security providers, managed detection and response teams, external auditors, or compliance teams.
  • Familiarity with AI security risks including sensitive data exposure, prompt injection, model access control, third-party plugin risk, and AI system logging.

About the Company

Charlie Health

Telehealth mental health IOP for youth

Charlie Health provides online mental health treatment for youth through a telehealth platform, centered on a virtual Intensive Outpatient Program (IOP). The IOP combines individual therapy, group sessions, and peer support, and can be started within 24 hours with morning, afternoon, and evening sessions Monday through Saturday. Clients can pay out-of-pocket or via insurance, with quick online coverage checks and a 24/7 Admissions Team to help with enrollment. It differentiates itself by focusing on youth, offering rapid enrollment and admissions alongside data-backed outcomes that show improvements in severe symptoms, with the goal of expanding access to outpatient-like, evidence-based care.

Company size
1,001-5,000
Company stage
Seed
Total funding
$850K
Headquarters
Bozeman, MT
Founded
2020

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