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Job Description
Automation Engineer with strong experience in Ansible, HashiCorp Packer, and Google Cloud Compute Engine to design, build, and maintain automated machine image and VM provisioning solutions for both Windows and Linux environments.
Key Responsibilities
Infrastructure Automation
Design and implement automated VM image build pipelines using HashiCorp Packer for Google Cloud Compute Engine.
Develop reusable golden images for Windows Server and Linux workloads.
Automate VM configuration, software installation, patching, and baseline hardening using Ansible.
Build standardized and repeatable provisioning patterns for Compute Engine instances across multiple environments.
Google Cloud Engineering
Manage and optimize Google Cloud Compute Engine instances, instance templates, managed instance groups, and related services.
Implement best practices for VM image lifecycle management in GCP.
Integrate image creation and provisioning workflows with GCP networking, IAM, service accounts, and storage services.
Support deployment patterns for both standalone and scalable Compute Engine-based workloads.
Windows and Linux Administration
Automate configuration of Windows and Linux virtual machines using Ansible playbooks and roles.
Build and maintain OS-specific provisioning logic for: Windows Server, RHEL / CentOS / Rocky / Ubuntu or similar Linux distributions
Manage system configuration, domain join, local user/group policies, package installation, agent deployment, and OS baseline settings.
Support patching, security hardening, and operational readiness of VM builds.
CI/CD and DevOps Integration
Integrate Packer and Ansible workflows into CI/CD pipelines such as GitHub Actions, Jenkins, GitLab CI, or similar platforms.
Maintain version-controlled infrastructure and image build code in Git repositories.
Implement automated testing and validation of machine images before release.
Promote immutable infrastructure and image versioning practices.
Security and Governance
Apply secure baseline configurations and OS hardening controls to Windows and Linux images.
Ensure compliance with enterprise security, vulnerability remediation, and audit requirements.
Required Qualifications
5+ years of experience in cloud infrastructure automation, system engineering, or DevOps roles.
Strong hands-on experience with Ansible for configuration management and provisioning.
Strong hands-on experience with HashiCorp Packer for machine image creation.
Experience with Google Cloud Platform, especially: Compute Engine , IAM / service accounts, VPC networking fundamentals , Cloud Storage
Experience administering and automating both: Windows Server, Linux operating systems
Strong scripting experience with one or more of the following: Bash, PowerShell, Python
Understanding of infrastructure-as-code, immutable images, and standardized build patterns.
Preferred Qualifications
Experience with Terraform for GCP infrastructure provisioning.
Experience creating enterprise golden images and image promotion pipelines.
Familiarity with security hardening frameworks and vulnerability remediation processes.
Experience with Active Directory integration, Windows configuration automation, and Linux hardening.
Technical Skills
Automation/Provisioning: Ansible, Packer
Cloud Platform: Google Cloud Platform, Compute Engine
Operating Systems: Windows Server, Linux
Scripting: PowerShell, Bash, Python
DevOps Tools: Git, Jenkins, GitHub Actions, GitLab CI
Infrastructure as Code: Terraform"
The base compensation range for this role in the posted location is: 86129 to 117189
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 Capgemini’s 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.
