Software Engineer

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DataVisor

πŸ“Remote - Japan

Summary

Join DataVisor's infrastructure team as a Software Engineer and be a key part of maintaining and improving their robust, distributed systems. You will manage releases and deployments across a global, multi-cloud environment, automating processes and ensuring sub-second response times for clients. Responsibilities include automating code deployment and infrastructure management, scaling systems for real-time responses with large datasets, and implementing monitoring to maintain strict SLAs. You will also troubleshoot issues, optimize job execution across multiple cloud providers, and improve system reliability and scalability. The ideal candidate has 2+ years of experience in infrastructure software engineering or production system operations, along with experience with AWS or other cloud providers, Linux, Java, Python, Kubernetes, and Docker. A basic understanding of networking is also required.

Requirements

  • 2+ years experience with infrastructure software engineering or production system operation experiences
  • 2+ years experience with Amazon Web Services or other cloud service providers
  • Strong understanding of the Linux environment and systems configurations
  • Experience with Java and Python
  • Experience with Kubernetes, docker
  • Has basic knowledge about networking

Responsibilities

  • Manage releases and deploys to a global, multi-cloud footprint
  • Automate our code deployment and infrastructure management process
  • Help us scale to real-time responses with huge client datasets
  • Instrument monitors to ensure that our systems adhere to the strictest of SLA
  • Help us reduce our cost footprint by optimizing the way we run jobs across multiple cloud providers globally
  • Look for the root cause for an issue and make code changes to improve the reliability and scalability of our systems

Preferred Qualifications

  • Experience with Apache Spark, Cassandra, Flink
  • Experience with Grafana, Loki, ELK

Benefits

Open to work remotely

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