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Tier‑1 brand, Bangalore metro, generalist backend role and broad skillset create high candidate competition.
Strong backend and cloud skills are transferable, but SaaS multi-tenant and AI-agent context increases domain specificity.
Explicit 10+ years, required large-scale system design and cloud/backend expertise make shortlisting highly strict.
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Lead design and delivery of scalable, high-quality backend software systems integrating AI into human workflows within a multi-tenant SaaS cloud environment.
Make architectural decisions focusing on performance, scalability, and extensibility; contribute across all SDLC phases including design, implementation, code reviews, and testing.
Mentor and guide engineers to uphold technical standards and build shared system design repositories to ensure reliability and accuracy of AI operations.
10+ years of software development experience with large-scale system design.
Proficiency in one or more languages: Java, Python, Scala, C#, Go, Node.js, or C++.
Experience with SaaS applications built on public cloud platforms (AWS, Azure, or GCP).
Strong experience with relational and non-relational databases and knowledge of distributed systems concepts such as queues, scheduling, and event-driven architecture.
Experienced technical leader capable of making architectural decisions within complex AI-integrated backend SaaS systems.
Comfortable working in hybrid engineering models and mentoring engineering teams to drive high standards.
Strong background in designing scalable distributed systems and integrating AI development tools into software engineering workflows.