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Tier-1 brand, Bangalore location, and popular backend title increase applicant density despite seniority.
Deep distributed-systems and SaaS backend expertise reduces cross-industry transferability.
Explicit 10+ years and mandatory large-scale backend, cloud, and distributed-systems expertise impose strict filters.
Build and ship high-quality, production-grade software integrating AI into development workflows, focusing on secure, optimized, and maintainable code.
Design and oversee complex, scalable distributed systems enabling AI agents to integrate seamlessly with human workflows, emphasizing performance and extensibility.
Lead technical decision-making including architecture, code reviews, automation, and mentor engineers to uphold high standards in a microservices-based SaaS cloud environment.
10+ years of experience in software development and large-scale system design.
Proficiency in one or more programming languages such as Java, Python, Scala, C#, Go, Node.js, or C++.
Experience developing SaaS applications on public cloud platforms (AWS, Azure, or GCP).
Strong understanding of distributed systems concepts, relational/non-relational databases, and software development best practices with demonstrated technical leadership.
Experienced in designing and leading scalable distributed backend systems with AI integration focus.
Strong technical leader comfortable making architectural decisions and mentoring engineering teams.
Expertise in multi-tenant SaaS cloud environments and use of modern engineering practices including microservices architecture.