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Job Description
Key Responsibilities
Design containerization strategies and lead the migration of existing application workloads to Docker/Kubernetes-based environments on Amazon EKS. Deploy, configure, operate, and support application workloads on EKS, including Kubernetes resources, ingress, RBAC, secrets/configuration, scaling, and workload availability. Build, optimize, and manage Docker images and Dockerfiles, following secure and efficient image-management practices. Design, develop, and maintain reusable Helm charts, including templating, configuration management, versioning, upgrades, and rollback strategies. Implement and support GitOps-based continuous delivery using Argo CD, ensuring Kubernetes environments remain synchronized with source-controlled configurations. Design and automate AWS infrastructure using Terraform, including reusable modules and infrastructure lifecycle management. Work with AWS services supporting EKS workloads, including areas such as IAM, VPC/networking, load balancing, container registries, autoscaling, storage, security, and observability. Plan and execute workload migrations to containers with emphasis on scalability, resilience, security, performance, and minimal deployment risk. Troubleshoot Kubernetes/EKS issues involving pods, deployments, services, ingress, networking, resource utilization, application configuration, and deployment failures. Collaborate with application, infrastructure, security, and DevOps teams to improve deployment automation and operational reliability.
Mandatory Skills
Strong hands-on Amazon EKS/Kubernetes experience, particularly managing production application workloads. Very strong container workload design and migration experience, including moving applications from traditional hosting models to containerized platforms. Strong Docker expertise, including Dockerfile creation, image optimization, registries, and container troubleshooting. Strong Helm experience, with hands-on capability to create and maintain production-grade Helm charts. Strong AWS experience, especially services and architecture relevant to EKS-based applications. Strong Terraform experience, including modules, state management, variables, data sources, workspaces, and reusable infrastructure patterns. Good understanding of DevOps and CI/CD practices, source control, automated deployments, and release management. Hands-on experience with Argo CD and GitOps deployment practices. Strong Linux and Kubernetes troubleshooting skills.
Good-to-Have Skills
Experience with monitoring, logging, alerting, and production troubleshooting using tools such as Prometheus, Grafana, AWS CloudWatch, or equivalent observability platforms. Experience with EKS autoscaling and node-management approaches such as managed node groups or Karpenter. Knowledge of container security, vulnerability scanning, Kubernetes security controls, IAM/RBAC, and secrets management. Scripting or automation experience using Shell or Python. Experience supporting highly available and business-critical container platforms. Ideal Candidate Profile A strong hands-on engineer who can independently assess an application, define its containerization approach, migrate it to Amazon EKS, create the required Docker and Helm artifacts, automate infrastructure with Terraform, establish Argo CD-based deployment workflows, and troubleshoot the workload through production operations.
The base compensation range for this role in the posted location is: 70000 to 95000
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.
