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Lead Development engineer in Storage Domain Jobs

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Senior Principal Technical Program Manager - ML Platform
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231300.00 - 301975.00 USD / Year
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Atlassian
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Senior Manager, Software Engineering (Orchestration Services)
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United States
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232000.00 - 310000.00 USD / Year
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Senior Manager, Software Engineering (Orchestration Services)
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Canada
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206000.00 - 256000.00 CAD / Year
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Staff Software Engineer, Cloud Infrastructure
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United States
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170000.00 - 250000.00 USD / Year
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Software Team Lead – Platform
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Israel , Herzliya
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Infinidat
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Senior Staff Machine Learning Engineer
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United States , San Francisco
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216500.00 - 324500.00 USD / Year
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Storage Presales Architect
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Indonesia , Jakarta
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Hewlett Packard Enterprise
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Senior Data Engineer ETL Lead
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United States , Irving
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Citi
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Senior System Software Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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AI Lead Engineer
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India , Bangalore
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Hewlett Packard Enterprise
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Lead engineer in Storage/Networking domain
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India , Bangalore
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AI Engineer for Storage Domain
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India , Bangalore
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Lead Data Engineer
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India , Gurugram
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Data Architect
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India , Gurugram
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Director of Engineering, Data Path Development
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United States
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155500.00 - 376000.00 USD / Year
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Engineering Director
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Puerto Rico , Aguadilla
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Lead Data Engineer
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India , Gurugram
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Principal Software Engineer
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India , Bangalore
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Lead Development engineer in Storage Domain
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India , Bangalore
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Data Architect
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India , Gurugram
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Explore exciting Lead Development Engineer in Storage Domain jobs and discover a pivotal career at the intersection of innovation and infrastructure. A Lead Development Engineer in the Storage Domain is a senior technical expert and visionary leader responsible for architecting the next generation of data storage solutions. This role is central to creating the robust, high-performance systems that power everything from cloud platforms and enterprise data centers to big data analytics and AI workloads. Professionals in these jobs do not just write code; they design the foundational software that ensures data is stored reliably, accessed quickly, and managed efficiently at a massive scale. Typically, individuals in these jobs are entrusted with a wide array of critical responsibilities. They lead the end-to-end design and development of complex storage products and platforms, from initial solution architecture and analysis to coding, testing, and final integration. A key part of their role involves designing and optimizing both the data path, which handles the actual reading and writing of data, and the control path, which manages system configuration, monitoring, and health. They drive innovation by researching and integrating new technologies, such as NVMe, persistent memory, and software-defined storage, into existing projects. Furthermore, they provide tangible technical leadership, mentoring junior engineers, reviewing designs for quality and compliance, and collaborating with cross-functional teams and executive leadership to align technical execution with business strategy. To succeed in Lead Development Engineer in Storage Domain jobs, a specific and advanced skill set is required. A Bachelor's or Master's degree in Computer Science or a related field is typically essential, coupled with 8+ years of progressive experience in software development, with a significant portion dedicated to storage technologies. Mastery of low-level programming languages like C or C++ is fundamental for performance-critical system development. A deep understanding of operating systems concepts, including kernel internals, file systems, and networking, is crucial. Experience with modern software practices is also highly valued, including developing for scale, load, and performance, as well as working with containerization and orchestration technologies like Kubernetes and Docker. Familiarity with cloud object storage protocols, such as S3, and scripting languages like Python or Go are common advantageous skills. For those seeking a challenging role that blends deep technical expertise with strategic leadership, exploring Lead Development Engineer in Storage Domain jobs offers a rewarding path to shaping the future of data infrastructure.

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