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Strong employer brand plus metro location but highly senior and specialized role yields medium competition.
Role demands deep data platform, distributed storage, and Java backend expertise, so cross-industry transferability is low.
Explicit 15+ years, deep Java, distributed systems, databases, Kubernetes and leadership requirements make filters strict.
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Lead and guide the development team in designing and implementing scalable data platform solutions, focusing on data lifecycle management within the ServiceNow ecosystem.
Shape and execute data management strategies addressing scalability, efficiency, security, and explore alternate storage technologies and AI applications to solve complex data and distributed systems problems.
Serve as a technical leader mentoring engineering teams, promoting best practices in data handling, security standards, and continuous process improvement.
15+ years of software development experience in a high-traffic, cloud-based environment.
Proficiency in Java programming with expertise in concurrency, parallel programming, data structures, and algorithms.
Strong relational database experience and deep knowledge of databases, data modeling, and data storage technologies.
Experience deploying Java services in Kubernetes environments; familiarity with distributed systems and cloud platforms.
Experienced in leading senior engineering teams and mentoring in complex software projects involving data management at scale.
Strong background in distributed storage systems (e.g., S3, Apache Iceberg) and applying AI to distributed systems problems with consideration of AI development guardrails.
Technical orientation towards cloud-based, high-scale platforms with an emphasis on data architecture innovation, security, and performance optimization.