Site Reliability Engineer II

  • Remote - India

Remote

DevOps

Mid-level

Summary

The job is for a Site Reliability Engineer at ZineOne, a subsidiary of Session AI. The candidate should have over five years of experience in managing cloud-based Big Data solutions and be committed to resolving operational challenges through automation and sophisticated software tools. The role involves designing and implementing solutions that enhance the availability, performance, and stability of systems, services, and products, among other responsibilities.

Requirements

  • Over five years of experience managing cloud-based Big Data solutions
  • Strong communication skills, both written and verbal
  • Deep technical expertise in areas such as Linux, automation, application performance, databases, load balancers, networks, and storage systems

Responsibilities

  • Design and implement solutions that enhance the availability, performance, and stability of our systems, services, and products
  • Develop, automate, and maintain infrastructure as code for provisioning environments in AWS, Azure, and GCP
  • Deploy modern automated solutions that enable automatic scaling of the core platform and features in the cloud
  • Apply cybersecurity best practices to safeguard our production infrastructure
  • Collaborate on DevOps automation, continuous integration, test automation, and continuous delivery for the Session AI platform and its new features
  • Manage data engineering tasks to ensure accurate and efficient data integration into our platform and outbound systems
  • Utilize expertise in DevOps best practices, shell scripting, Python, Java, and other programming languages, while continually exploring new technologies for automation solutions
  • Design and implement monitoring tools for service health, including fault detection, alerting, and recovery systems
  • Oversee business continuity and disaster recovery operations
  • Create and maintain operational documentation, focusing on reducing operational costs and enhancing procedures

Preferred Qualifications

  • Experience with cloud platforms like AWS, Azure, and GCP, including their management consoles and CLI
  • Proficiency in building and maintaining infrastructure on AWS, Azure, and GCP

Benefits

  • Comparable salary package and stock options
  • Opportunity for continuous learning
  • Fully sponsored EAP services
  • Excellent work culture
  • Opportunity to be an integral part of our growth story and grow with our company
  • Health insurance for employees and dependents
  • Flexible work hours
  • Remote-friendly company
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