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Strong Tier-1 brand plus metro location and seniority yields medium competition density.
Deep platform persistence, distributed storage, and database expertise create high industry-specific fit sensitivity.
Explicit 10+ years, staff-level leadership, and mandatory Java/platform persistence expertise make filters high.
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Own architecture and design for data management solutions focusing on concurrency, memory efficiency, scalability, and security.
Lead and drive data strategy and cross-team initiatives, addressing complex challenges such as data loss detection and recovery with end-to-end ownership.
Mentor engineers and apply AI tools to solve large-scale data and distributed systems problems, ensuring adherence to data best practices and performance optimization.
Bachelor’s or master’s degree in computer science or related field.
10+ years of software development experience in high-traffic, cloud-based environments.
Proficiency in Java and strong expertise in data structures, algorithms, concurrency, and parallel programming.
Deep knowledge of databases, data modeling, and distributed/cloud systems with demonstrated leadership in design/architecture and mentoring.
Experienced in leading design and architecture discussions within large-scale cloud data platforms with emphasis on scalability and security.
Skilled at complex problem-solving in data lifecycle management, including data loss detection and recovery in distributed systems.
Familiar with applying AI tools in software development and promoting rigorous testing practices (TDD, unit/integration tests) to maintain high code quality.