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Senior CloudOps Engineer - Life Sciences

ExperiencedNo visa sponsorship
Capgemini logo

at Capgemini

Consultancies

Posted 7 days ago

No clicks

**Senior CloudOps Engineer - Life Sciences** Senior engineer needed to design, build, and operate resilient, scalable multi-cloud (Azure, Google Cloud) platforms. Blend deep cloud infrastructure expertise with AI/LLM application, DevOps/SRE practices, and Kubernetes (AKS, GKE). Maintain overall cloud health, automate infrastructure, and drive continuous improvement. Prioritized AI/LLM experience; 3+ years Azure/Google Cloud, strong Terraform, automation, and networking skills required. Onsite role in Plano, TX.

Compensation
$96,000 – $132,000 USD

Currency: $ (USD)

City
Dallas
Country
United States

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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 and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgeminis discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Senior CloudOps Engineer - Life Sciences

Compensation

$96,000 – $132,000 USD

City: Dallas

Country: United States

Capgemini logo
Consultancies

7 days ago

No clicks

at Capgemini

ExperiencedNo visa sponsorship

**Senior CloudOps Engineer - Life Sciences** Senior engineer needed to design, build, and operate resilient, scalable multi-cloud (Azure, Google Cloud) platforms. Blend deep cloud infrastructure expertise with AI/LLM application, DevOps/SRE practices, and Kubernetes (AKS, GKE). Maintain overall cloud health, automate infrastructure, and drive continuous improvement. Prioritized AI/LLM experience; 3+ years Azure/Google Cloud, strong Terraform, automation, and networking skills required. Onsite role in Plano, TX.

Full Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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 and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

  • 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgeminis discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.