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Metro location, popular Backend senior role, and mid-tier recognizable company increase competitive density moderately.
Strong backend and enterprise security emphasis makes skills somewhat industry-specific but still transferable across cloud-native companies.
Explicit 8–13 years requirement plus mandatory Python, distributed systems, and security experience increases filter strictness.
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Develop and architect large-scale, high-performing, and scalable distributed backend systems for security and enterprise software.
Lead AI/ML and data analytics solution development as part of the AI Platform Team, operationalizing models in cloud-scale environments.
Collaborate with cross-functional teams to solve complex business problems and ensure quality hosted software services at global enterprise scale.
8 to 13 years of hands-on experience in Security or Enterprise software development.
Highly proficient in Python; working knowledge of Java or C++.
BS or MS in Computer Science or equivalent technical training.
Experience with SQL or NoSQL data stores and proficiency in Linux/Unix operating systems.
Experience architecting reusable, scalable enterprise-grade systems, preferably in cloud or distributed environments.
Familiarity with AI/ML technologies including LLMs, AI agents, and agentic frameworks is a strong plus.
Comfortable working on live enterprise-scale cloud services involving complex deployment issues like security, networking, and disaster recovery.