SRE

Overview

On Site
$65.0000 - $70.0000
Full Time

Skills

SRE
Hadoop
Cloudera

Job Details

Pay Range: $ 65 - $ 70
Job Description:


Responsibilities:




  • Manage daily operations of big data and containerized platforms including Hadoop, Spark, Kafka, Kubernetes/OpenShift, Docker/Podman, and Jupyter Notebook.




  • Support, maintain, and troubleshoot AI/ML and data analytics platforms through upgrades, incident response, and cluster management.




  • Implement monitoring, alerting, and capacity forecasting to ensure platform reliability and performance.




  • Automate system tasks and deployment pipelines using tools like Ansible, Shell scripting, and Python.




  • Collaborate with development teams and stakeholders in an agile environment to support rapid software delivery.




  • Drive initiatives for platform resilience, disaster recovery, and performance optimization.




Must-Haves:




  • Strong understanding of Big Data platforms: Hadoop, Spark, Kafka, HBase, Impala.




  • Hands-on experience with Cloudera Hadoop stack and familiarity with HDFS internals (fsimage, blocks, etc.).




  • Scripting and automation experience using Python, Shell, and Ansible.




  • Proficiency in SQL and experience with databases such as Cassandra and Postgres.




  • Familiarity with monitoring and logging tools like ELK Stack or Splunk.




  • Solid experience in Unix environments and agile development practices.




Nice-to-Haves:




  • Exposure to AI/ML platforms such as DataRobot, C3 AI, or similar.




  • Strong containerization and orchestration skills (Docker, Podman, Kubernetes/OpenShift).




  • Background in financial or enterprise-scale environments.



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