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Tier-1 brand, popular backend role, and metro location amplify applicant competition.
Requires deep distributed-systems and SaaS cloud experience, limiting cross-industry transfer.
Explicit 10+ years and required distributed-systems, cloud, and leadership experience.
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Build and ship high-quality, production-grade software with AI integrated into development workflows, focusing on security, performance, and scalability.
Design and orchestrate complex, scalable systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation.
Contribute to all SDLC phases including design, implementation, code reviews, automation, and testing; provide technical leadership and mentorship to engineers.
10+ years of experience in software development and large-scale system design.
Proficiency in one or more programming languages: Java, Python, Scala, C#, Go, Node.js, or C++.
Experience developing SaaS applications on public cloud platforms (AWS, Azure, or GCP).
Strong understanding of relational and non-relational databases and solid SQL skills; expertise in distributed systems concepts like queues, locking, scheduling, and event-driven architecture.
Senior software engineer or engineering lead experienced in AI-driven and distributed backend systems for SaaS cloud environments.
Focus on scalable architecture and performance with technical leadership capabilities.
Experienced in working with hybrid engineering teams delivering complex, scalable microservices-based solutions.