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Java Developer with Networking Skills - Hybrid San Francisco, CA

Salary undisclosed

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Java Developer with Networking Skills

Hybrid San Francisco, CA

Required Skills:-

  1. Java
  2. Telemetry
  3. API
  4. Big Data Tools

Technical Skills:-

  • Very strong proficiency in Java programming language with at least 7 years of hands-on experience in software and systems engineering, ideally with experience in building data-intensive applications.
  • Solid understanding of fundamental networking concepts and protocols.
  • Strong grasp of Network Observability and Telemetry principles and technologies (SNMP, gNMI, RESTful APIs) is crucial for this role.
  • Proven expertise and experience in delivering large-scale systems leveraging big data technologies relevant to telemetry data processing, including but not limited to: enterprise-grade Kafka, Splunk, PrometheLoki/Grafana stack, ELK stack, and various Time Series databases.
  • Strong skills in utilizing Stream Processing Frameworks for real-time analysis of network telemetry data.
  • Good understanding of implementing and deploying Container-based applications using CI/CD pipelines (e.g., Jenkins, GitLab CI).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Java Developer with Networking Skills

Hybrid San Francisco, CA

Required Skills:-

  1. Java
  2. Telemetry
  3. API
  4. Big Data Tools

Technical Skills:-

  • Very strong proficiency in Java programming language with at least 7 years of hands-on experience in software and systems engineering, ideally with experience in building data-intensive applications.
  • Solid understanding of fundamental networking concepts and protocols.
  • Strong grasp of Network Observability and Telemetry principles and technologies (SNMP, gNMI, RESTful APIs) is crucial for this role.
  • Proven expertise and experience in delivering large-scale systems leveraging big data technologies relevant to telemetry data processing, including but not limited to: enterprise-grade Kafka, Splunk, PrometheLoki/Grafana stack, ELK stack, and various Time Series databases.
  • Strong skills in utilizing Stream Processing Frameworks for real-time analysis of network telemetry data.
  • Good understanding of implementing and deploying Container-based applications using CI/CD pipelines (e.g., Jenkins, GitLab CI).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job