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Salary
$18k – $80k per year (Estimated)
Location
In office (Bengaluru)
Overview
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Planview is a computer software organization that provides services related to Portfolio Management, Project Management, Resource Management, Business Process Management, etc.

AdaptiveWork is Planview's Enterprise work management solution for PPM and professional services delivery teams. AdaptiveWork enables PMOs and professional services delivery teams of all sizes to gain real-time visibility across all their work, automate workflows, proactively manage risks, and deliver greater business impact. Our DevOps Engineers are passionate about automation and infrastructure in the cloud. They work closely with our Development, Product Management, and Security teams to design, develop, and debug solutions that are scalable, secure, and maintainable.

Responsibilities:

  • Manage existing hybrid (Public / Private) environments.
  • Migrate non-public cloud workloads to AWS.
  • Maintain and improve application deployment (CI/CD) and infrastructure management ( IaC ).
  • Triage and remediate production infrastructure and application issues.
  • Continuously improve operational efficiencies by focusing on technology, process, and automation.
  • Collaborate with global team members (English).
  • Participate in on-call rotation.

Requirements:

  • Bachelor's degree in CS or equivalent experience in a related field.
  • 3 years in a programming/scripting role (Python, JavaScript, PowerShell, Groovy, C#).
  • Experience with configuration management and infrastructure as code ( Rundeck, SaltStack, Terraform, CloudFormation).
  • Experience with CI/CD pipelines (Jenkins, GitHub actions) and managing SDLC environments (Dev, Test, Staging, Prod).
  • Extensive experience administering Windows and Linux environments.
  • Hands-on experience with observability tools/services (Datadog, LogicMonitor, New Relic, Sumo Logic).
  • Managed large-scale production workloads in the public cloud ( AWS, Azure).
  • Practical knowledge of containers and delivery of services via containers (Docker, K8s, ECS ).
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