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Niche systems specialization and seniority reduce applicant density despite Bengaluru metro.
Requires deep database internals, kernel, and low-level systems expertise, limiting cross-industry transferability.
Explicit 10–17 years requirement plus mandatory deep systems skills (C++, DB internals, kernel) enforces strict filters.
Define and drive the long-term architecture and technical direction for core systems including networking, storage, low-level I/O, and hardware interactions.
Lead cross-team technical initiatives and set architectural principles, engineering standards, and design guidelines across the organization.
Own benchmarking strategy and leverage AI/ML models to automate testing, root-cause analysis, and performance prediction, while supporting enterprise customer engagements.
10–17 years of experience in building and operating complex systems software such as distributed databases, networking stacks, kernels, or storage systems.
Expert-level proficiency in C/C++ with deep knowledge of low-level programming, memory management, concurrency, and performance optimization.
Strong understanding of database internals and Linux operating system internals including scheduling, memory management, and I/O subsystems.
Proven experience in defining and evolving architecture for large-scale, performance-critical production systems.
Experienced in driving architectural direction and technical decisions across multiple teams without direct management authority.
Deep expertise in large-scale distributed systems and performance engineering for high-throughput, low-latency systems.
Skilled in applying AI/ML techniques to automate performance engineering, testing, and system diagnostics in complex systems environments.