Infostretch Corporation

DevOps Engineer

  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Santa Clara
  • Experience: NA
  • No. of Positions: 1
  • Salary Range: 0-140 k
  • Primary Skills: Amazon EC2 Amazon RDS DevOps Development testing ECS Cloud DevOps Lead
  • Secondary Skills: Devops engineer Cloud Engineer Scripting Lambda Terraform SSM
  • Job Location: Santa Clara, California
  • Posted Date: Posted today
Job Description

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.


Infostretch is hiring DevOps Engineer in Santa Clara, CA. 100% remote position

Job Responsibilities

  • Understanding customer requirements and project KPIs
  • Implementing various development, testing, automation tools, and infrastructure
  • Working knowledge of various tools, open-source technologies, networking, proxies and cloud services
  • Hands on experience in Terraform
  • Hands-on experience of AWS Cloud platform
  • Services: VPC, EC2, EKS, ECS, RDS, S3, Lambda, SSM, AWS MQ, SNS, CloudWatch, API gateway, etc.
  • Understanding of hybrid cloud (On-premises + Public Cloud)
  • Good understanding of Virtualization technologies like VM-Ware, KVM, etc
  • Setting up tools and required infrastructure
  • Experience working on Linux based infrastructure
  • Extensive working experience on Jenkins, git, Shell/python scripting.
  • Troubleshooting techniques and fixing the issues in pre-prod/prod environment
  • Encouraging and building automated processes wherever possible
  • Monitoring and measuring customer experience and KPIs
  • Understanding core principal of Chaos Engineering (Resiliency testing)
  • Documenting incidence and develop runbooks/playbooks for future use.
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