Senior CloudOps Engineer - Life Sciences

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About the job you're considering

Capgemini is seeking a highly skilled Senior CloudOps Engineer for an onsite role in Plano, TX to design, build, and operate resilient, scalable, and secure multi-cloud platforms across Azure and Google Cloud. This role blends deep cloud infrastructure expertise with modern DevOps/SRE practices and an emerging focus on applying AI and large language models (LLMs) to cloud operations, automation, diagnostics, and observability.

The ideal candidate is a self-starter who owns initiatives end-to-end, applies an automation-first mindset, and partners closely with engineering and product teams to drive platform reliability, performance, and continuous improvement.

Location

This is an onsite role located in Plano, TX.

Your role

• Apply LLMs and AI-driven techniques to cloud operations, automation, diagnostics, and observability
• Stay current with emerging AI-enabled DevOps and SRE tools and practices
• Maintain overall cloud operational health, including uptime, performance, and stability, across Azure and Google Cloud environments
• Design, build, deploy, and operate Kubernetes platforms (AKS and GKE) with zero-downtime deployment and upgrade strategies
• Design and manage multi-cloud infrastructure using Terraform
• Create and maintain reusable, secure, and scalable Terraform modules
• Design, implement, and troubleshoot cloud networking, including VNETs/VPCs, routing, peering, VPNs, and DNS
• Diagnose and resolve complex network, connectivity, performance, and platform issues
• Automate infrastructure provisioning, deployments, 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
• Ensure platforms are scalable, resilient, secure, and performant by designDevelop and maintain a deep understanding of platform architecture, dependencies, and system interactions
• Drive operational best practices, standards, and continuous improvement initiatives
• Collaborate closely with engineering and product teams to support delivery goals
• Act as a technical leader with strong communication, ownership, and problem-solving skills

Your skills and experience

• 3+ years experience operating production-grade cloud platforms in Azure and Google Cloud
• Strong hands-on experience with Kubernetes, including AKS and GKE
• Advanced experience with Infrastructure as Code using Terraform, including module design and reuse
• Solid understanding of cloud networking concepts (VPC/VNET design, routing, peering, VPNs, DNS)
• Experience implementing zero-downtime deployment and upgrade strategies
• 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
• Demonstrated ability to troubleshoot complex infrastructure and performance issues
• Working knowledge of SRE and DevOps principles and operational best practices
• Interest in or hands-on experience applying AI/LLMs to operational workflows is strongly preferred
• Excellent communication skills with the ability to collaborate across teams
• Self-starter mindset with a track record of owning initiatives from design through operation

The base compensation range for this role in the posted location is: $96,000 - $132,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education an