Cloud DevOps Engineer / Cloud Architect (AWS + Terraform/OpenTofu + EKS + OS) job opportunity at Capgemini SE.



bot
Capgemini SE Cloud DevOps Engineer / Cloud Architect (AWS + Terraform/OpenTofu + EKS + OS)
Experience: Professional
Pattern: Permanent
Walk In
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeOND
Hiring inbound within Dallas, New York

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: New York, NY (located near Penn Stations South) or Dallas, TXSummaryThis role combines Cloud DevOps engineering and architectural responsibilities, focusing on designing, automating, and managing secure, scalable, and cost-optimized cloud environments. The position requires expertise in AWS services, Infrastructure as Code (IaC), container orchestration, OS management, AI/ML integration, and modern application architectures.ResponsibilitiesArchitect and design cloud infrastructure solutions leveraging AWS IaaS (EC2, VPC, IAM) and PaaS (Lambda, RDS, ECS).Define high-level architecture diagrams, reference architectures, and best practices for multi-cloud deployments.Ensure scalability, high availability, and disaster recovery in all designs.Automate provisioning and configuration using Terraform or OpenTofu.Deploy and orchestrate containerized workloads using Amazon EKS and Kubernetes.Build and maintain CI/CD pipelines for application delivery and infrastructure updates.Administer Linux and Windows servers, including patching, hardening, and performance tuning.Implement automated patch management using tools like AWS Systems Manager, WSUS, Ansible, or SCCM.Monitor system health and performance using CloudWatch, Prometheus, Grafana, and native OS tools.Ensure compliance with security policies and best practices across cloud and OS layers.Perform deep troubleshooting across all layers:   o    Network (VPC, NACLs, Security Groups)o    IAM permissions and policy conflictso    Kubernetes cluster failures, Helm misconfigurationso    CI/CD pipeline errors and rollback strategieso    OS-level performance bottlenecks and kernel issueso    Root cause analysis and permanent fixes for outagesInfrastructure as Code (IaC)Design and implement IaC using Terraform and OpenTofu across multi-cloud environments.Develop reusable modules and manage state files with remote backends and workspaces.Automate workflows and CI/CD pipelines using Python and tools like Jenkins, GitHub Actions, or GitLab CI.Integrate policy-as-code frameworks such as Open Policy Agent (OPA) or Terraform Sentinel for governance.Collaborate with security and compliance teams to enforce resource policies and automate audits.Optimize cloud resources through tagging, lifecycle policies, and cost management strategies.Document infrastructure designs, scripts, and operational procedures.Required skills7+ years of experience in Cloud Architecture and DevOps, designing and managing secure, scalable AWS environments. 7+ years of hands-on expertise with AWS IaaS (EC2, VPC, IAM) and PaaS (Lambda, RDS, ECS) services.5+ years of experience implementing Infrastructure as Code (IaC) using Terraform/OpenTofu, including reusable modules and remote state management.5+ years of experience deploying and orchestrating containerized workloads using Amazon EKS and Kubernetes.Strong proficiency in CI/CD pipeline design, automation scripting (Python), and integration with tools like Jenkins, GitHub Actions, or GitLab CI.Experience in AI/ML integration, including Amazon SageMaker, Bedrock, and designing AI Landing Zones for predictive and generative AI workloads.Expertise in modern application architectures, including event-driven, serverless (AWS Lambda), and microservices design.Proven ability to lead offshore teams, in case of absence of offshore lead to manage client relationships, and delivering results aligned with SOW.Desired Core Technologies:AWS ServicesEC2, VPC, IAM, S3, EBS, ELB, Auto ScalingLambda, RDS, DynamoDB, CloudFormation, Systems Manager Infrastructure as CodeTerraform / OpenTofu: modules, remote state, workspacesYAML/JSON for IaC templates and configurationsContainers & OrchestrationDocker: image creation, registries, networkingKubernetes: architecture, RBAC, HelmAmazon EKS: provisioning, scaling, upgradesDevOps & CI/CDGit workflows, automated testing, deployment strategiesProficiency in Python for scripting and automationFamiliarity with CI/CD tools and version control systems (e.g., Git), AWS CodePipelineKnowledge of infrastructure governance, monitoring, and logging tools (e.g., Prometheus, Grafana)Understanding of security best practices in cloud environmentsOS Administration & PatchingLinux: Ubuntu, CentOS, Amazon Linux Shell scripting, cron jobs, systemd, log rotation  Patch management via yum, apt, Ansible, AWS Systems Manager Windows Server: AD, DNS, IIS, PowerShell Patch management via WSUS, SCCM,AWS Systems ManagerGroup Policy, scheduled tasks, event logsSecurity & MonitoringIAM policies, security groups, NACLsCloudWatch, Prometheus, Grafana, ELK stackSecrets management: AWS Secrets Manager, HashiCorp VaultAI Ops & IntegrationAI Landing Zone design and implementation.AI/Apps integration using: Amazon Bedrock,  Amazon SageMaker or ML frameworks for predictive and generative AI.Expertise in ML and Gen AI for cloud-native applications.Application ArchitectureEvent-driven architecture for scalable systems.Serverless architecture leveraging AWS Lambda and managed services.Microservices design and deployment.  AI-based applications using SageMaker and BedrockThe base compensation range for this role in the posted location is: [$100,572 -  $215,050]. 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 LeaveMedical, 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 insuranceEmployee assistance programsOther 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. DisclaimersCapgemini 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. 

Other Ai Matches

Lead devOps PARIS Applicants are expected to have a solid experience in handling Job related tasks
Delivery Lead Applicants are expected to have a solid experience in handling Job related tasks
Quality Applicants are expected to have a solid experience in handling Manufacturing, Automotive & Life Sciences related tasks
Client Service Coordinator Applicants are expected to have a solid experience in handling Job related tasks
Senior Consultant Legal Engineering Customer Data (m/w/d) Applicants are expected to have a solid experience in handling Data Driven CX related tasks
Data Engineer with AWS & Azure Applicants are expected to have a solid experience in handling Job related tasks
Director - Intelligent Industry - Intelligent Process & Performance - Automation Applicants are expected to have a solid experience in handling Job related tasks
Junior Consultant Digitale Transformatie Finance Applicants are expected to have a solid experience in handling Job related tasks
Industrial Engineering - Internship Program Applicants are expected to have a solid experience in handling Job related tasks
Webbutvecklare till Sogeti Jönköping/Skövde Applicants are expected to have a solid experience in handling Job related tasks
Digital Continuity & Manuf Engineer Applicants are expected to have a solid experience in handling Job related tasks
Développeuse / Développeur Mobile senior Applicants are expected to have a solid experience in handling Job related tasks
Client Manager Applicants are expected to have a solid experience in handling Job related tasks
Strategy and Transformation Account Lead Applicants are expected to have a solid experience in handling Job related tasks
Expert/ Experte Signalisation Ferroviaire Applicants are expected to have a solid experience in handling Job related tasks
Generic_Posting_Senior SAP VIM Consultant Applicants are expected to have a solid experience in handling Job related tasks
SAP Logistics Managing Consultant Applicants are expected to have a solid experience in handling Job related tasks
SAP Basis S4 Hana Applicants are expected to have a solid experience in handling Job related tasks
SDET Automation Engineer Applicants are expected to have a solid experience in handling Job related tasks
Client Manager Financial Services (w/m/d) Applicants are expected to have a solid experience in handling Job related tasks
Software Engineer Applicants are expected to have a solid experience in handling Job related tasks
Stagiaire Data Scientist Applicants are expected to have a solid experience in handling Job related tasks
Data Engineer - Adobe Experience Platform Engineer Applicants are expected to have a solid experience in handling Job related tasks