Director, Engineer (AI, Data & Security Tooling Ecosystem)

Accountabilities:

• Define and drive the technical architecture and engineering standards for AI-enabled cybersecurity platforms, security operations data systems, and integrated tooling ecosystems.

• Establish and enforce best practices related to code quality, test-driven development, CI/CD pipelines, platform reliability, observability, and secure software engineering.

• Design governance and safety mechanisms for AI-assisted workflows, ensuring auditability, evidence logging, least-privilege access, and secure operational controls.

• Lead the development and optimization of large-scale security data pipelines, including ingestion, transformation, enrichment, schema governance, and analytics readiness.

• Oversee tooling integration and lifecycle management by implementing standardized APIs, telemetry, automation, and monitoring frameworks.

• Support operational excellence through incident readiness planning, system health monitoring, runbook development, and continuous improvement initiatives.

• Mentor engineers and provide strategic technical leadership across cross-functional teams, acting as a trusted advisor on complex architecture and platform decisions.

• Collaborate with engineering, cybersecurity, compliance, privacy, and operational stakeholders to align technology initiatives with enterprise objectives and risk standards.

Requirements:

• 7–10+ years of experience in software engineering, platform engineering, cybersecurity engineering, or large-scale technology development environments.

• Strong background leading enterprise-level technical strategy, platform architecture, and complex system integrations.

• Hands-on expertise with CI/CD implementation, cloud-native systems, production platform operations, and performance optimization.

• Deep understanding of security data engineering concepts, including telemetry pipelines, schema governance, logging frameworks, and analytics-driven operations.

• Familiarity with AI and automation technologies, including secure-by-design practices for agentic or AI-assisted systems.

• Experience building reusable engineering frameworks, developer enablement tools, and scalable operational “golden path” solutions.

• Ability to partner effectively with risk, legal, compliance, and privacy teams in regulated or security-sensitive environments.

• Strong communication, leadership, mentoring, and stakeholder management skills in distributed and cross-functional organizations.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field required; advanced degree preferred.

Benefits:

• Competitive annual compensation ranging from $199,000 to $274,000, based on experience and qualifications.

• Fully remote work environment within the United States.

• Comprehensive technology package including laptop, monitors, headset, keyboard, and mouse.

• Monthly internet/connectivity reimbursement for remote employees.

• Opportunity to work on cutting-edge AI and cybersecurity transformation initiatives at enterprise scale.

• Collaborative and innovation-focused culture that encourages technical leadership and strategic influence.

• Access to professional growth opportunities, mentorship, and advanced engineering projects.

• Comprehensive healthcare and employee benefits package.

• Supportive environment focused on meaningful impact, operational excellence, and long-term career development.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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