Senior CloudOps Engineer - Life Sciences

Capgemini • Dallas, TX

4d • Onsite

About The Position

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.

Requirements

• 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
• Excellent communication skills with the ability to collaborate across teams
• Self-starter mindset with a track record of owning initiatives from design through operation

Nice To Haves

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

Responsibilities

• 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 design
• Develop 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

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed