Staff Engineer - Code Analysis and Generative AI Research

• Design, develop, and maintain cloud security solutions and generative AI applications.
• Collaborate with cross-functional teams to define, design, and deliver new features and enhancements.
• Write clean, maintainable, and efficient code using Python, with a strong emphasis on OOP principles.
• Develop and optimize algorithms and data structures to solve complex problems.
• Participate in code reviews, debugging, and troubleshooting to ensure high-quality software.
• Conduct research and stay updated on the latest trends in cloud security, generative AI, and software engineering.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Contribute to the development of static application security testing (SAST) engines and other code analysis tools.
• Understand and write rules for code analysis tools such as Semgrep and CodeQL.

Who We Are Looking for:

• We are seeking insightful, inclusive connectors to join our team
• You foster collaborative partnerships by the ways in which you seek to understand others, work together, and diagnose complex organizational variables, issues, and opportunities
• You have an ongoing sense of drive, informed urgency, and you are attentive to detail
• You enjoy implementing holistic solutions that meet and scale with the strategic needs of the organization
• Bachelors or masters degree in Computer Science, Engineering, or a related field.
• 6 to 10 years of experience in cloud security development.
• Proven expertise in generative AI tools and applications.
• Strong proficiency in Python programming with a strong emphasis on object-oriented design.
• Solid understanding of algorithms and data structures.
• Experience in compiler development and code analysis.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Preferred Qualifications:

• M.S / PhD in Computer Science, Engineering, or a related field.
• Published research papers in relevant engineering domains.
• Experience with AI-driven software development and tools.
• Knowledge of additional programming languages and frameworks.

Skills and Competencies:

• Deep understanding of cloud security principles and best practices.
• Proficiency in using and developing generative AI tools.
• Expertise in Python with a strong emphasis on OOP.
• Strong grasp of algorithms, data structures, and their applications.
• Experience in code analysis and compiler development.
• Knowledge of and ability to write rules for Semgrep and CodeQL.
• Excellent research and technical writing skills.