Senior Lead Engineer/Architect – Java

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November 7

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DDN

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Artificial Intelligence • Data Center and Cloud Computing • High Performance Computing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

1001 - 5000 employees

Founded 1998

🤖 Artificial Intelligence

💰 $10M Funding Round on 2011-06

📋 Description

• Lead the design and development of scalable, high-performance solutions • Define and own the architecture, design, and technical roadmap for S3DataService component • Lead the product lifecycle from requirements and design to development, testing, and release • Provide technical leadership, mentorship, and reviews for the engineering team • Drive improvements in performance, scalability, and reliability of distributed data systems • Collaborate with QA, DevOps, and Support (L3) teams to ensure stability and quality • Evaluate and implement customer-driven features in collaboration with Product Management • Ensure adherence to best practices, coding standards, and architectural principles.

🎯 Requirements

• 10+ years of experience • Strong expertise in Java, Spring Framework, and server-side programming • Hands-on experience with Maven, REST APIs, and microservices architecture • Solid understanding of system design, architecture patterns, and distributed systems • Deep knowledge of data storage, Big Data systems, Cassandra, Hadoop, and Elasticsearch • Experience with S3 object storage protocol and related storage technologies • Strong foundation in Linux, networking, and infrastructure-level debugging • Proven ability to lead design and implementation for large-scale enterprise systems • Excellent analytical, communication, and problem-solving skills • Experience with Python, containerization (Podman/Docker/Kubernetes), CI/CD workflows • Prior experience with distributed file systems or high-availability storage solutions • Understanding of security, data consistency, and fault-tolerant architectures.

🏖️ Benefits

• Equal Opportunity/Affirmative Action employer.