In this role, you will:

• Serve as the technical owner for assigned applications, leading application onboarding, operational support, lifecycle management, and continuous improvement efforts.
• Design, build, and operate secure, scalable cloud-based data and software platforms that support Cyber Threat Operations analytics, dashboards, automation, and decision-making.
• Develop and maintain Python-based backend services, APIs, and data pipelines that enable security analytics, automation, AI/ML capabilities, and near real-time processing of large-scale security data.
• Architect and optimize enterprise data solutions, including data lakes, warehouses, and hybrid cloud environments, with a focus on data modeling, governance, performance, scalability, and secure data handling.
• Build and manage high-performance data products that ingest, transform, and analyze large volumes of data from diverse sources to support operational and strategic cybersecurity objectives.
• Deliver high-quality data assets, dashboards, reports, and visual analytics solutions by applying data visualization best practices to ensure insights are accessible, actionable, and aligned with stakeholder needs.
• Partner with cybersecurity, analytics, UX, engineering, and business teams to translate operational requirements into production-ready applications, analytics products, and dashboard solutions.
• Apply cloud-native architecture and engineering best practices across AWS, Azure, and GCP to improve reliability, scalability, resilience, security, and cost efficiency.
• Leverage approved AI-assisted development and analytical tools to accelerate system design, software development, testing, troubleshooting, and operational analysis while ensuring compliance with security, privacy, governance, and ethical standards.
• Analyze Cyber Threat Operations workflows and application footprints to identify opportunities for optimization, automation, enhanced analytics, and improved operational effectiveness.
• Demonstrate proficiency in using AIassisted development and analysis tools (e.g., GitHub Copilot and approved codecentric agents)
• Leverage AI to accelerate system design, coding, testing, analysis, and troubleshooting
• Apply strong technical judgment when validating and integrating AIassisted 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

Required Qualifications:

• 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 Python experience.
• 5+ years of JavaScript or TypeScript experience

Desired Qualifications:

• Background in building or supporting security data platforms, analytics solutions, dashboards, or operational applications.
• 5+ years of data and software engineering with a strong focus on Information Security, Cyber Defense, or security analytics platforms.
• Experience building modern web applications using React, TypeScript/JavaScript, HTML/CSS, REST APIs, and modern frontend build tooling.
• Exposure to modern frontend libraries or patterns such as Next.js, Vite, TanStack Query, TanStack Table, React Hook Form, Zod, Zustand, Tailwind CSS, shadcn/ui, Radix UI, Vitest, Playwright, or similar technologies.
• Experience with Python backend, data, or analytics libraries and frameworks such as FastAPI, Flask, pandas, NumPy, PySpark, Polars, Airflow, Dagster, or similar technologies.
• Exposure to AI/ML or GenAI use cases, particularly in security or data environments.
• Familiarity with AI/ML or LLM-related libraries and platforms such as PyTorch, TensorFlow, JAX, Hugging Face, scikit-learn, LangGraph, LlamaIndex, Azure OpenAI, OpenAI APIs, or similar technologies.
• Experience aggregating and correlating data from multiple security tools, such as SIEM, endpoint, network, cloud, identity, vulnerability management, or threat intelligence platforms.
• Hands-on experience designing and managing data lakes, data warehouses, or hybrid data architectures with sound data modeling and governance practices.
• Experience with data visualization, dashboards, or UX/UI collaboration, translating complex data into actionable insights.
• Experience with enterprise authentication and authorization patterns, including SSO, SAML, OAuth 2.0, OIDC, JWT, RBAC/ABAC, secrets management, and audit logging.
• 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.
• Bachelors degree or higher in Computer Science, Engineering, Cybersecurity, or a related field, or equivalent practical experience.

Posting End Date:

*Job posting may come down early due to volume of applicants.