Lead Security Engineer, Python

What you'll do

• Develop secure production code for Python-based APIs, microservices, and automation tools using secure-by-design patterns.
• Review and debug code written by others to identify and fix security defects.
• Conduct vulnerability assessments, penetration testing, and threat scenario analysis to identify system risks.
• Integrate AI capabilities to accelerate threat modeling, vulnerability analysis, and security documentation.
• Implement security controls and processes that align with industry insights and government regulations.
• Build and maintain secure infrastructure across cloud platforms (AWS, GCP, Azure) and containerized environments.
• Automate security testing and control validation within the software development life cycle and CI/CD pipelines.
• Advise business leaders on necessary modifications to address identified security vulnerabilities.

What we're looking for

• Design and build secure Python solutions using secure-by-design patterns, least privilege, and defense-in-depth.
• Perform secure code development, review, and debugging for Python and adjacent stacks including containerized workloads and CI/CD.
• Demonstrate expertise in cloud and DevOps technologies including AWS, Google Cloud, Azure, Docker, Kubernetes, Jenkins, and GitLab.
• Work with databases such as MongoDB, PostgreSQL, and NoSQL systems.
• Maintain a strong background in data science and AI, including deep learning, NLP, GenAI, RAG concepts, prompt engineering, and data visualization.
• Apply experience in secure coding, model validation, and data privacy.
• Experience with LLM fine-tuning, prompt engineering, and multi-modal AI integration (preferred).
• Knowledge of frontend frameworks such as React and Next.js (preferred); certifications in AI/ML, Kubernetes, AWS, or cybersecurity (preferred).