Service Reliability Engineer

Coimbatore / Bangalore | 4+ Years

AppViewX is revolutionizing the way NetOps and DevSecOps teams deliver Machine Identity Management and Application Delivery Automation solutions services to Enterprise IT. The AppViewX Platform is a modular software application that enables the automation and orchestration of network infrastructure using an intuitive, context-aware, visual workflow. It quickly and easily translates business requirements into automation workflows that improve agility, enforce compliance, eliminate errors, and reduce cost. AppViewX customers are among the world’s most demanding Fortune 1000 organizations in financial services and banking, healthcare, oil and gas, manufacturing, and high tech.

Today, with Gartner Peer Insights rating of 4.9 out of 5, AppViewX automates NetOps, SecOps, and DevOps for six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. AppViewX is headquartered in New York, U.S. with additional offices in U.K., Australia and three development centers of excellence in India.

Nature and scope of the role:

  • Run the production environment by monitoring availability and taking a holistic view of system health
  • Build software and systems to manage platform infrastructure and applications
  • Improve reliability, quality, and time-to-market of our suite of software solutions
  • Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
  • Provide primary operational support and engineering for multiple large distributed software applications

Primary Skill Set:

  • Bachelor’s degree in computer science
  • Ability to program (structured and OO) with one or more high level languages, such as Python/ Java/ C/C++ / JavaScript
  • Experience with distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (Mesos, Kubernetes, Yarn)
  • A proactive approach to spotting problems, areas for improvement, and performance bottlenecks
  • Previous success in technical engineering
  • Coding experience beyond simple scripts

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