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Metro location plus broad backend and cloud skill requirements create moderate applicant density.
Role requires enterprise security and large-scale backend expertise, moderately limiting industry transferability.
Explicit 8–13 years requirement plus mandatory backend, distributed systems, and security skills increases filtering rigor.
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Lead development of enterprise-grade, large-scale distributed security and AI systems primarily using Python.
Architect, design, and implement scalable, high-performance software solutions integrated across cloud and multi-OS environments.
Collaborate across engineering and product teams to operationalize AI/ML models and ensure system resilience, security, and compliance.
8 to 13 years of hands-on experience in security or enterprise software development.
Proficiency in Python and working knowledge of at least one of Java or C++.
Bachelor's or Master’s degree in Computer Science or equivalent technical training.
Experience with SQL or NoSQL data stores and Linux/Unix operating systems.
Experienced in building and operating large-scale distributed systems with high performance and scalability requirements.
Skilled in deploying and managing cloud-native microservices, preferably with AWS experience.
Comfortable working in complex, security-conscious environments with advanced AI/ML integration ambitions.