Senior CloudOps Engineer at Capgemini - ScoutJobs - The AI-curated global job board
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Posted a day ago

Senior CloudOps Engineer

CapgeminiSenior CloudOps Engineer - Life Sciences

Requirements

3+ years experience in Azure and Google Cloud, Hands-on experience with Kubernetes (AKS and GKE), Advanced Infrastructure as Code with Terraform, Cloud networking expertise (VPC/VNET, DNS, VPN), Automation skills in Python, Bash, or PowerShell, CI/CD pipeline maintenance, SRE and DevOps principles

Skills

AzureGCPKubernetesTerraformPythonDevOps

About the role

Responsibilities

  • Design, build, and operate resilient, scalable, and secure multi-cloud platforms across Azure and Google Cloud
  • Apply LLMs and AI-driven techniques to cloud operations, automation, diagnostics, and observability
  • Manage Kubernetes platforms (AKS and GKE) with zero-downtime deployment and upgrade strategies
  • Design and manage multi-cloud infrastructure using Terraform, including the creation of reusable modules
  • Implement and troubleshoot cloud networking, including VNETs/VPCs, routing, peering, VPNs, and DNS
  • Automate infrastructure provisioning and operational tasks using Python, Bash, or PowerShell
  • Build, maintain, and improve CI/CD pipelines and operational workflows
  • Implement monitoring, logging, alerting, and observability solutions to proactively identify issues
  • Perform root cause analysis and drive remediation and prevention strategies

Requirements

  • 3+ years of experience operating production-grade cloud platforms in Azure and Google Cloud
  • Strong hands-on experience with Kubernetes, specifically AKS and GKE
  • Advanced experience with Infrastructure as Code using Terraform, including module design
  • Solid understanding of cloud networking concepts (VPC/VNET, routing, peering, VPNs, DNS)
  • Strong automation skills using Python, Bash, and/or PowerShell
  • Experience building and maintaining CI/CD pipelines
  • Deep familiarity with monitoring, logging, alerting, and observability tools
  • Working knowledge of SRE and DevOps principles

Preferred Qualifications

  • Interest in or hands-on experience applying AI/LLMs to operational workflows

Benefits

  • Paid time off including vacation, company holidays, personal days, and sick leave
  • Medical, dental, and vision coverage
  • Retirement savings plans (e.g., 401(k))
  • Life and disability insurance
  • Employee assistance programs

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. With a team of 340,000 members in more than 50 countries, Capgemini is trusted by clients to unlock the value of technology through expertise in AI, cloud, and data.

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Senior CloudOps Engineer

Capgemini · Plano

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