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Tier-1 employer and metro location increase applicants, but seniority and specialized distributed-systems focus moderate competition.
Role requires deep distributed-systems and SaaS backend experience, limiting cross-industry transferability.
Mandatory 10+ years, technical leadership and distributed-systems expertise create strict shortlisting filters.
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Lead design and delivery of high-quality, production-grade backend software with integrated AI in a scalable microservices SaaS environment.
Make architectural and design decisions emphasizing performance, scalability, and extensibility for AI-human workflow integration at scale.
Mentor engineers, conduct code reviews for security and performance, and maintain system design standards for reliable AI operations.
10+ years of software development experience including large-scale system design.
Proficiency in one or more: Java, Python, Scala, C#, Go, Node.js, or C++.
Experience building SaaS applications on public cloud platforms (AWS, Azure, or GCP).
Strong knowledge in distributed systems concepts and expertise with both relational and non-relational databases including SQL.
Experienced technical leader capable of driving software architecture and mentoring teams in a hybrid engineering environment.
Strong background in designing scalable distributed systems with AI integration in SaaS cloud products.
Comfortable working with microservices, multi-tenant architectures, and maintaining high code quality and system reliability standards.