Lead Information Security Engineer

• Design, build, and operate secure, scalable cloud‑based data and software platforms supporting Information Security and Cyber Defense use cases
• Develop and maintain Python‑based backend services, data pipelines, and APIs to enable security analytics, automation, and AI/ML adoption
• Architect data lakes, warehouses, and hybrid data solutions with strong data modeling, governance, and secure data handling practices
• Apply visualization best practices to ensure insights are accessible, meaningful, and aligned with user and stakeholder needs
• Partner with cybersecurity, analytics, UX, and engineering teams to translate security and business requirements into production‑ready solutions
• Provide guidance on cloud data storage and data structure design to support scalable, secure, and high‑performance analytics environments
• Enable reporting and visual analytics by delivering high‑quality, well‑structured data for modern, interactive applications
• Apply cloud‑native best practices across AWS, Azure, and GCP to improve reliability, scalability, and cost efficiency
• Identify and mitigate operational and data risks within Information Security platforms and environments
• Demonstrate proficiency in using AI assisted development and analysis tools (e.g., GitHub Copilot and approved code centric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AI assisted outputs into solutions
• Understand and account for model limitations, security risks, and operational considerations
• Apply AI responsibly in development and production environments
• Ensure AI usage aligns with security, compliance, privacy, and ethical standards

• 5+ years of Information Security Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 5+ years of experience in a modern programming language (e.g., Python, Java, C/C++, Go, or Rust)
• 5+ years of data and software engineering with a strong focus on Information Security, Cyber Defense, or security analytics platforms

• Background in building or supporting security data platforms or analytics solutions
• Exposure to AI/ML or GenAI use cases, particularly in security or data environments
• Experience aggregating and correlating data from multiple security tools (SIEM, endpoint, network, etc.)
• Hands‑on experience designing and managing data lakes, data warehouses, or hybrid data architectures with sound data modeling and governance practices
• Experience working with data platforms, databases, and data processing frameworks (e.g., Databricks or similar)
• Ability to assess risk, improve operational resilience, and deliver production‑ready solutions in highly regulated environments
• Experience with data visualization, dashboards, or UX/UI collaboration, translating complex data into actionable insights
• Proven ability to translate high-level requirements into technical tasks and execution plans
• Experience working in cloud environments and supporting migration from on-prem to cloud
• Proven expertise building secure, scalable cloud‑native solutions across AWS, Azure, and/or Google Cloud
• Bachelor’s degree or higher in Computer Science, Engineering, Cybersecurity, or a related field (or equivalent practical experience)

May be considered for a discretionary bonus, Restricted Share Rights, or other long – term incentive awards