Senior/Lead GCP Platform Engineer

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

Location: Charlotte, NC or Irving, TX or Edison, NJ or Phoenix, AZ

Key Responsibilities

GCP Platform Engineering

• Design build and maintain enterprise scale cloud platform services on Google Cloud Platform

• Develop reusable platform capabilities standards and automation frameworks

• Implement Infrastructure as Code IaC using Terraform

• Support cloud governance IAM networking security and compliance requirements

• Drive platform reliability scalability and operational excellence

Observability Monitoring

• Design and implement centralized observability architecture across multiple GCP projects and environments

• Build enterprise monitoring logging tracing and alerting solutions using GCP native and third-party observability tools

• Centralize logs metrics traces dashboards and alerts across development test and production environments

• Define observability standards SLISLOs alerting strategies and operational runbooks

• Create executive operational and application health dashboards

• Establish monitoring coverage for cloud infrastructure

• Develop solutions for automated alert management reporting and operational analytics

Platform Reliability Operations

• Partner with development and operations teams to improve system reliability

• Conduct root cause analysis and incident investigations

• Optimize monitoring coverage while reducing alert fatigue

• Support production operations and platform upgrades

• Drive continuous improvement of operational processes and platform observability

Required Technical Skills

• Google Cloud Platform Strong hands-on experience with Google Cloud Monitoring and Google Cloud Logging

• Managed Service for Prometheus, Cloud Trace, Cloud Profiler and Cloud Audit Logs

• Experience with Pub/Sub, Cloud Storage, BigQuery, Cloud Functions, Cloud Run, GKE (Google Kubernetes Engine).

• Experience with IAM, Shared VPC, Organization level monitoring configurations, Observability Platforms.

• DevOps Automation, Terraform, Git/GitHub, CICD pipelines, Kubernetes

• Experience with one or more Datadog, Splunk, Dynatrace, Grafana, Prometheus, OpenTelemetry.

Required Experience

• 5 years of cloud platform engineering experience

• 3 years of hands-on Google Cloud Platform experience

• 3 years of Python development and automation experience

• Experience implementing centralized observability solutions across multiple cloud accounts projects

• Experience with enterprise monitoring logging alerting and operational analytics

• Experience supporting Kubernetes based platforms

Preferred Qualifications

• Experience designing organization wide observability frameworks

• Experience implementing OpenTelemetry standards

• Knowledge of Site Reliability Engineering SRE practices

• Experience with FinOps and cloud cost optimization

• Experience supporting data platforms and AIML workloads

• Google Cloud Professional Cloud Architect certification

• Google Cloud Professional DevOps Engineer certification

Key Deliverables

• Enterprise wide observability architecture across GCP projects

• Centralized monitoring and logging platform

• Automated project onboarding to observability services

• Standardized dashboards alerts and operational metrics

• Improved platform reliability and reduced incident response times

• Python based automation framework for cloud operations

The base compensation range for this role in the posted location is: $105,000 - $115,000

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 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.

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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.