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.cl
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 Architecture and Infrastructure Cloud DevOps
7+ AWS IaaS (EC2, VPC, IAM) and PaaS (Lambda, RDS, ECS)
Proven track record Design and implementing IaC using Terraform and OpenTofu across multi-cloud environments
Proven track record Deploying and orchestrating containerized workloads using Amazon EKS and Kubernetes.cl
AI/ML integration including Automate provisioning and configuration using Terraform or OpenTofu
Experience leading and directing offshore teams
Proven track record managing client relationships and delivering results according to 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

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

About Capgemini

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. The Group reported 2024 global revenues of €22.1 billion.

Get the future you want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations 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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100,572 - $215,850. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

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