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Strong employer brand but highly specialized senior role reduces candidate density.
Highly domain-specific data platform and distributed-systems expertise limits cross-industry transferability.
Explicit 15+ year requirement plus mandatory Java, databases, distributed-systems and Kubernetes increases selectivity.
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Lead development of scalable data platform solutions focused on data lifecycle management within ServiceNow ecosystem.
Shape and execute data management strategies emphasizing scalability, efficiency, security, and new storage technologies exploration.
Provide technical leadership, mentor team members, and drive AI application to complex data and distributed systems problems.
15+ years software development experience in high-traffic, cloud-based environments.
Proficiency in Java programming, concurrency, parallel programming, and strong data structures & algorithms skills.
Deep knowledge of relational databases, data modeling, storage technologies, and experience with Java services on Kubernetes.
Work Experience Required: 15+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced leader capable of guiding engineering teams in large scale data platform development and architecture.
Strong background in distributed storage systems and cloud-based distributed systems, with hands-on Kubernetes deployment.
Proven ability to integrate AI techniques into distributed system challenges and maintain data security, performance, and best practices.