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Mid-level experience, metro location, and broad full-stack AI requirements increase competitive density.
Medium: core full-stack and AI skills are transferable, though enterprise security domain knowledge helps.
Explicit 5–8 years plus mandatory Python/React, system design, AWS, and Kubernetes increases shortlisting strictness.
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Own architecture and delivery of scalable full-stack and AI-driven systems on AWS focusing on security, performance, and reliability.
Lead technical initiatives including design reviews, coding standards, and mentoring junior engineers.
Engage with customers to translate business needs into technical solutions and collaborate cross-functionally to deliver AI Security products.
5-8 years of professional software engineering experience.
Proven full-stack development skills with backend expertise in Python and frontend frameworks like React.
Experience designing and deploying enterprise-grade, scalable, and resilient systems, preferably on AWS.
Operational knowledge of production-level monitoring, logging, debugging, and incident response.
Senior-level software engineer comfortable owning end-to-end system design and architecture for AI-driven security platforms.
Strong cross-functional collaborator who can partner with product, security, and DevOps teams and communicate effectively with customers.
Experienced with distributed systems concepts, performance engineering, containerization (Docker, Kubernetes), and AWS cloud services.