Senior Corporate Security Engineer

Charlie Health

3d•$180,000 - $240,000•Hybrid

About The Position

The Senior Corporate Security Engineer role is responsible for designing, building and operating the technical security systems and controls that protect Charlie Health’s corporate environment, workforce systems, endpoints, SaaS platforms, cloud-connected services and internal operations. This is a senior hands-on security engineering role requiring expertise in enterprise security, identity and access management, endpoint security, SaaS security, data protection, security automation, cloud security and detection engineering. The Corporate Security Engineer will partner closely with IT Engineering, Information Security, Compliance, Engineering and business teams to reduce risk, improve control maturity and support Charlie Health’s continued growth. Our IT and Information Security organizations treat security as an engineering discipline. We value ownership, measurable outcomes, automation, reliability, secure-by-design implementation and continuous improvement. The Corporate Security Engineer will build scalable security capabilities that protect sensitive company, employee, clinician and patient data while enabling the business to move quickly and safely. Charlie Health is also building an AI-native operating model. This role will help secure the enterprise use of AI tools, LLM platforms, AI-enabled workflows and emerging AI security products. The ideal candidate is excited to work with tools and platforms such as OpenAI, Anthropic, LiteLLM, Prompt Security, Pillar and other AI security technologies, while helping define practical controls for safe and responsible AI adoption. Charlie Health operates in a highly regulated healthcare environment. This role will support security controls aligned to HIPAA, SOC 2, NIST, Zero Trust principles and other applicable regulatory and contractual requirements. This role can either be in-office or remote.

Requirements

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 MFA, conditional access, privileged access, lifecycle automation, service accounts and least privilege
Experience working with security tools such as MDR platforms, EDR, SIEM, cloud security tools, endpoint management tools, vulnerability management tools or DLP systems
Experience with security platforms and telemetry sources such as Expel MDR, SentinelOne, Wiz, CloudTrail, Sumo Logic or similar tools
Experience with endpoint security, MDM, 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

Nice To Haves

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, LLM 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 DLP, CASB, SSPM, 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, MDR 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

Responsibilities

Design, build and operate technical security controls across Charlie Health’s 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 MFA, 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
Help advance Charlie Health’s 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, MDM policy, EDR 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 use of 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 Charlie Health’s use of AI tools, LLM 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, PHI 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 PHI, employee data, clinician data and sensitive company information
Support DLP 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 DLP 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