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Strong employer brand and metro location but highly specialized senior role reduce applicant density.
Highly specialized data platform, persistence, and distributed storage expertise limits cross-industry transferability.
Explicit 15+ years requirement plus mandatory Java, distributed storage, Kubernetes, and leadership skills increase strictness.
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Lead the design, development, and implementation of scalable data platform solutions with a focus on concurrency, memory utilization, and data lifecycle management.
Shape and execute data management strategies ensuring scalability, efficiency, security, while exploring advanced storage technologies and AI applications in distributed systems.
Mentor engineering teams and collaborate cross-functionally to optimize data performance, enforce best practices, and influence platform data architecture including distributed storage systems.
15+ years of software development experience in high-traffic, cloud-based environments.
Proficiency in Java programming with strong expertise in data structures, algorithms, concurrency, and parallel programming.
Deep knowledge and hands-on experience with relational databases, data modeling, data storage technologies, and deploying Java services in Kubernetes.
Work Experience Required: 15+ years; Familiarity with ServiceNow platform and experience with distributed storage systems like S3 and Apache Iceberg are strong pluses but not mandatory.
Experienced technical leader skilled in managing complex, large-scale data platform projects in cloud-native environments.
Strong in leveraging AI to address difficult data and distributed systems challenges while maintaining rigorous development guardrails.
Demonstrates deep expertise in scalable data architecture, distributed storage technologies, and mentoring engineering teams towards innovation and efficiency.