DDN

Staff Engineer - Java

DDN
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11 hours ago
Pune, IndiaStaff+

Responsibilities

  • Design and develop scalable components for the S3 Data Service platform.
  • Build maintainable and performant backend services using Java and Spring.
  • Participate in architecture discussions and technical design decisions.
  • Translate product requirements into technical solutions with product management.
  • Collaborate with QA, DevOps, and L3 support teams to ensure product stability and reliability.
  • Improve system performance, scalability, and reliability.
  • Participate in coding, testing, documentation, code reviews, and engineering-standard improvements.
  • Troubleshoot complex issues across application, infrastructure, and distributed-system layers.

Requirements

  • 15–22 years of software development experience with strong Java expertise.
  • Hands-on experience with Spring Framework, including Core, Boot, and Data, and backend service development.
  • Experience building REST APIs and microservices-based architectures.
  • Strong understanding of system design, architecture patterns, and distributed systems.
  • Experience with storage technologies such as Cassandra, Hadoop, or Elasticsearch.
  • Familiarity with the S3 object storage protocol or related storage technologies.
  • Strong knowledge of Linux systems, networking, and infrastructure-level debugging.
  • Experience with Maven or similar build systems.
  • Ability to analyze complex problems and deliver reliable solutions.
  • Preferred: Python scripting experience.
  • Preferred: familiarity with Docker, Podman, or Kubernetes.
  • Preferred: experience with CI/CD pipelines and DevOps practices.
  • Preferred: exposure to distributed file systems or high-availability storage solutions.
  • Preferred: understanding of security, data consistency models, and fault-tolerant architectures.

Tech Stack

Apache CassandraApache HadoopDockerElasticsearchJavaKubernetesLinuxMavenPythonSpring Boot

Categories

DDN

About DDN

1,001-5,000 employees

DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.

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