Cloud DevOps Engineer / Cloud Architect (AWS + Terraform/OpenTofu + EKS + OS)Cap Gemini • United States
Cloud DevOps Engineer / Cloud Architect (AWS + Terraform/OpenTofu + EKS + OS)
Cap Gemini
- United States
- United States
Über
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, TX This 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. Responsibilities
Architect 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: Network (VPC, NACLs, Security Groups), IAM permissions and policy conflicts, Kubernetes cluster failures, Helm misconfigurations, CI/CD pipeline errors and rollback strategies, OS-level performance bottlenecks and kernel issues, root cause analysis and permanent fixes for outages. Infrastructure 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 Skills
7+ 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 Services: EC2, VPC, IAM, S3, EBS, ELB, Auto Scaling Lambda, RDS, DynamoDB, CloudFormation, Systems Manager Infrastructure as Code: Terraform / OpenTofu: modules, remote state, workspaces YAML/JSON for IaC templates and configurations Containers & Orchestration: Docker: image creation, registries, networking Kubernetes: architecture, RBAC, Helm Amazon EKS: provisioning, scaling, upgrades DevOps & CI/CD: Git workflows, automated testing, deployment strategies Proficiency in Python for scripting and automation Familiarity with CI/CD tools and version control systems (e.g., Git), AWS CodePipeline Knowledge of infrastructure governance, monitoring, and logging tools (e.g., Prometheus, Grafana) Understanding of security best practices in cloud environments OS Administration & Patching: Linux: 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 Manager Group Policy, scheduled tasks, event logs Security & Monitoring: IAM policies, security groups, NACLs CloudWatch, Prometheus, Grafana, ELK stack Secrets management: AWS Secrets Manager, HashiCorp Vault AI Ops & Integration: AI 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 Architecture: Event-driven architecture for scalable systems. Serverless architecture leveraging AWS Lambda and managed services. Microservices design and deployment. AI-based applications using SageMaker and Bedrock The 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 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. 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
Sprachkenntnisse
- English
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