Description
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.
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.
Basic Qualifications:
- 5+ years of relevant work experience with a Bachelor’s 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:
- 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.