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DehazeLabs

DevOps Engineer

Reposted 22 Hours Ago
Remote
Hiring Remotely in India
Mid level
Remote
Hiring Remotely in India
Mid level
As a DevOps Engineer, you'll manage and support Hadoop clusters and tools, automate operations, and ensure system performance and reliability in a distributed environment.
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Job Title: DevOps Engineer
Employment Type: Full-time
Location: Remote
Shift: Night Shift

About the Role

We are seeking a skilled DevOps Engineer to join our Hadoop/Big Data Infrastructure Team. The role involves managing and supporting large-scale distributed systems and automating infrastructure operations across global data centers. You will play a key role in ensuring system reliability, scalability, and performance across 5000+ compute, storage, and distributed systems.

Key Responsibilities
  • Provide operational support for Hadoop clusters and other Big Data tools such as HBase, Scylla, Hive/Hue, Kafka, and Storm.

  • Automate deployments and operations to enhance efficiency and reliability.

  • Perform upgrades of Hadoop and associated tools as required.

  • Fine-tune configurations using management tools such as Puppet and InfraDB (in-house Ruby on Rails CM Database).

  • Orchestrate deployments and services using Ansible.

  • Implement continuous integration processes following change management protocols using Git and Gerrit.

  • Develop monitoring and alerting scripts using Python and Bash/Shell.

  • Monitor system health using tools like Nagios, Graphite, Grafana, OpenTSDB, and Prometheus.

  • Troubleshoot and optimize system and service performance.

  • Collaborate with cross-functional teams, including Data Center Operations, NOC, Network, Database, and Engineering.

  • Track and resolve incidents, conduct root cause analysis, and maintain detailed runbooks and documentation.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related field.

  • Proven experience in DevOps, Big Data infrastructure, or system administration.

  • Hands-on expertise in Linux-based systems, automation tools, and monitoring platforms.

  • Strong problem-solving and collaboration skills.

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