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DevOps Engineer

Industry: Artificial Intelligence
Remote
Company size: 11-50
Full-time/Part-time

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Job description

A US-based company providing tailor-made solutions to help online lending and retail eCommerce businesses boost their customer service efforts, is looking for a DevOps Engineer. The selected candidate will be supporting and collaborating with a global cross-functional engineering team on the latest technologies. The company is providing cutting edge support and automation solutions with conversational AI chatbot. During their Seed round, the company managed to raise more than $2mn in funding. 

 

Job Responsibilities:

  • Deploy and maintain CI/CD pipelines across multiple environments
  • Perform activities such as code review and validation, architectural review, code deployment, and controlling architecture during phased releases
  • Troubleshoot technical issues, fix code bugs, and set up the required infrastructure
  • Build scalable, responsive, and well-documented stacks
  • Strengthen the monitoring around site reliability and availability

Job Requirements:

  •  B.Tech/BE/M. Tech in Computer Science or equivalent from a reputed college (or equivalent experience)
  • At least 2-4+ years of relevant experience as a DevOps Engineer
  • Experience in automating production deployments on AWS/GCP
  • Experience with tools/frameworks like Kubernetes, AWS Scripting/CLI, Jenkins, Ansible, etc
  • Strong skills in system monitoring, alerting, deployment scripting
  • Experience in system scaling, security will be desirable
  • Understanding of Ruby on Rails or Python
  • Good understanding of Web Technologies like RESTful APIs and Authentication
  • Good understanding of Database Systems
  • Experience with AI Stack and Components is nice to have
  • Knowledge of Data Classification, Data Extraction, Data Normalization, Sentiment Detection, Language Detection, Intent Detection, Entity Extraction, Image processing, Context Understanding, Spell Correction is desirable 
  • Familiarity with PostgreSQL, ElasticSearch, Redis, React, AngularJS, Java, RabbitMQ, and Kibana

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