Director, Engineer (AI, Data & Security Tooling Ecosystem)
New
United StatesFull-TimeDirector
Salary199,000 - 274,000 USD per year
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Job Details
- Experience
- 7–10+ years
- Required Skills
- Artificial IntelligenceData engineeringCI/CDSoftware Engineering
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.
Responsibilities
- 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.
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