Platform Engineer (DataOps)

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Onsite/remote at the NCBI in Bethesda, MD and/or remoteFull-TimeMiddle
Salary115,000 - 150,000 USD per year
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Job Details

Required Skills
PythonApache AirflowCloud ComputingKubernetesC++Apache KafkaLinux

Requirements

  • Strong coding skills in at least one programing language (Python, C++, etc.)
  • Experience with Kubernetes and containerization
  • Experience with major cloud services (GCP, AWS, Azure)
  • Experience with message brokers like Apache Kafka or Google Cloud Pub/Sub
  • Experience with workflow orchestration tools like Apache AirFlow
  • Experience with data processing applications and modern cloud-based data processing infrastructure
  • Linux command-line skills
  • B.S. in a STEM field or equivalent industry experience in Systems Engineering

Responsibilities

  • Develops and continuously improves DataOps platform.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption of platform.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Embraces agile development and continuous improvement.
  • Encourages growth mindset and offers leadership opportunities at any level
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115,000 - 150,000 USD per year
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