11 days ago
Base Salary
$120k - $130k/yr
Responsibilities
- Secure SaaS applications, corporate endpoints, office networks, and business and data intelligence platforms.
- Improve endpoint management, identity, security architecture, automation, and control deployment reliability across macOS, iOS, Windows, and Linux.
- Manage endpoint and SaaS security configurations with Terraform, version control, merge requests, CI pipelines, GitOps, and automated deployments.
- Automate secure endpoint provisioning, configuration, patching, and software distribution while maintaining security and compliance standards.
- Establish AI security guardrails for business applications and Model Context Protocol servers, evaluate prompt security, review AI-generated applications, and manage approved AI agents and endpoint tools.
- Assess third-party systems, AI-related risks, security controls, architectures, designs, and process automations.
- Partner with Detection and Response teams to develop incident workflows and mitigate Business Email Compromise threats.
- Perform security assessments and develop security principles and tools that support organizational growth and AI adoption.
Requirements
- Practical security engineering experience in endpoint security, identity management, AI security, or infrastructure-as-code.
- Proficiency in Python or Go and experience developing automation for security operations and infrastructure management.
- Hands-on Terraform experience including module design, state management, code reviews, version control, and CI/CD pipeline-based deployments.
- Experience with endpoint management and security platforms such as Jamf Pro, FleetDM, MDM, or EDR, including securing macOS environments at scale.
- Experience configuring and managing security controls for identity providers and enterprise platforms such as Okta, Google Workspace, and LDAP.
- Understanding of SSO, SAML, SCIM, OAuth, OIDC, SMTP, and DNS protocols.
- Experience with AI security controls, MCP server management, secure AI integrations, and approved AI tools and agents.
- Ability to conduct threat modeling, security assessments, architecture reviews, and third-party risk evaluations.
- Experience with Data Loss Prevention, firewall policies, and enterprise security controls is preferred.
- Preferred qualifications include Okta integration and MCP environment experience, vulnerability remediation skills, secure engineering guidance, and the ability to collaborate with distributed teams.
Benefits
- The posting describes Brillio as an employer of choice with a stated focus on employee growth and development.
- The role involves collaboration with distributed, remote teams across multiple functions.
About Brillio
Brillio is a privately held digital engineering and enterprise AI services firm that helps Fortune 1000 companies modernize products, data, and infrastructure. It combines consulting and managed services with an accelerator platform (ADAM) across cloud, AI, data engineering, customer experience, and infrastructure workstreams. Founded in 2014 and headquartered in Dallas, it operates delivery centers across North America, Europe, and Asia, with focus areas that include healthcare and life sciences.