Staff Software Engineer

As a Staff Software Engineer (AI Cybersecurity), you will play a pivotal role in designing, building, and enhancing next-generation cybersecurity platforms powered by AI and Generative AI technologies. You will work in a fast-paced agile environment to develop scalable, secure, and resilient systems, including real-time services, REST APIs, and container-based solutions.

You will collaborate with product, security, and engineering teams to deliver innovative AI-driven capabilities for vulnerability management, security testing, and threat detection. You will be responsible for architecting solutions, driving technical excellence, and mentoring team members while leveraging modern development practices and AI-assisted engineering tools.

This role requires strong technical depth, leadership, and a passion for integrating emerging technologies such as machine learning and GenAI into enterprise-scale cybersecurity products.

Key Responsibilities:

• Design, develop, and enhance scalable and secure cybersecurity platforms and services.
• Architect and build distributed systems, REST APIs, and container-based applications.
• Analyze business requirements and translate them into robust technical solutions.
• Lead design and implementation of components for large-scale transaction and security systems.
• Drive innovation by incorporating AI/ML and Generative AI into cybersecurity solutions.
• Develop AI-driven capabilities such as automated vulnerability detection, intelligent payload generation, and risk scoring.
• Leverage GenAI tools and coding co-pilots to improve development productivity and code quality.
• Collaborate cross-functionally with product management, security, and engineering teams.
• Ensure adherence to software engineering best practices, including unit testing, code reviews, and CI/CD.
• Mentor and guide engineers to support technical growth and delivery excellence.
• Lead technical discussions with cross-functional and non-technical stakeholders.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• 5+ years of relevant work experience with a Bachelors degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD OR 8+ years of relevant work experience.

Preferred Qualifications:

• 5+ years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
• 6 or more years of work experience with a Bachelors degree or 4 or more years of relevant experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD.
• Strong experience in full stack development of real-time, distributed systems and services.
• Experience building REST APIs and container-based solutions.
• Strong programming skills with hands-on experience in Python development.
• Solid understanding of Data Science and Machine Learning concepts, including model design and evaluation.
• Experience leveraging Generative AI tools and coding co-pilots in software development workflows.
• Understanding of GenAI frameworks and technologies such as LLMs, prompt engineering, and model integration patterns.
• Experience analyzing requirements and architecting scalable and secure solutions.
• Experience with modern engineering practices including CI/CD, testing, and code quality standards.
• Strong problem-solving, communication, and collaboration skills.
• Experience building AI-powered or data-driven cybersecurity solutions.
• Experience working in agile, self-managed engineering teams.
• Experience driving innovation and delivering solutions in fast-paced environments.
• Experience partnering with product teams to deliver customer-centric solutions.
• Experience in unit testing, code reviews, and continuous integration pipelines.
• Ability to mentor engineers and drive technical excellence across teams.