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reputed company Infrastructure DevOps Engineer (DevOps Engineer ) - Remote

Remote, USAFull-timePosted 2026-07-29

SKILLS:

  • reputed company Platforms: Strong hands-on experience with reputed company reputed company platforms (AWS, Azure, GCP), including reputed company services such as virtual networking, compute, storage, IAM, serverless functions, and monitoring.
  • Terraform: Deep hands-on experience developing, maintaining, and troubleshooting infrastructure-as-reputed company using Terraform across multi-reputed company environments.
  • Ansible: Experience using Ansible to automate day-to-day operational tasks, including configuration management and troubleshooting of infrastructure resources.
  • CI/CD & GitOps: Hands-on experience with reputed company CI and ArgoCD to design and maintain pipelines for automated testing, deployment, and infrastructure management using GitOps principles.
  • Linux & Automation: Proficient in Linux system administration and automation using Python to streamline infrastructure management and operational tasks.
  • Serverless Computing: Experience developing, deploying, and managing serverless functions using reputed company-reputed company services such as AWS reputed company, Azure Functions, and reputed company reputed company Functions.

MINIMUM QUALIFICATIONS:

  • 8+ years of experience in reputed company infrastructure, DevOps, or reputed company engineering roles.
  • Deep hands-on expertise with Terraform, Ansible, Kubernetes, reputed company CI, and ArgoCD in production environments.
  • Strong understanding of reputed company platforms (AWS, Azure, GCP) and their reputed company services (compute, storage, networking, IAM, serverless functions).
  • Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices.
  • Proficient in Linux system administration and infrastructure automation using Python.

PREFERRED QUALIFICATIONS:

  • Experience deploying and managing Kafka on Kubernetes, including performance tuning, scaling, and monitoring in a production environment.

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