Senior Cloud Infrastructure Architect

Job Title Technology Manager - Senior Cloud Infrastructure Architect - AWS/AI/ML Location New York, NY (located near Penn Station South) or Dallas, TX Job description Architect, design, and implement scalable, secure, and cost‑optimized cloud solutions leveraging the latest AWS offerings, including generative AI services (e.g., Amazon Bedrock, SageMaker, Amazon Q, CodeWhisperer). Support and administration of AWS IaaS and PaaS, including RDS, Athena, DynamoDB, EFS, ElastiCache, Kinesis Firehose, S3, Route53, SNS, Lambda, Data Pipeline, and new AI/ML services. Implement and manage monitoring, analytics, and optimization tools (AWS CloudWatch, AWS CloudTrail, AWS Cost Explorer, and AI‑driven observability tools). Operational understanding of securing cloud instances, including AI‑powered security tools (e.g., Amazon GuardDuty, Macie, Inspector). Develop and maintain cloud automation scripts/code (Perl, JSON, PowerShell, Terraform, AWS CloudFormation, CDK), including integration with AI/ML pipelines. Identify and resolve cloud performance bottlenecks using architectural and AI‑driven performance analytics. Analyze AWS CloudTrail logs and aggregated log files for advanced troubleshooting, leveraging AI‑based log analysis where appropriate. Identify and implement cost‑saving strategies using AWS’s latest cost management and AI‑powered optimization tools. Analyze customer business and technical requirements, assess environments for cloud and AI enablement, and advise on cloud and AI/ML solutions and risk management. Participate in customer cloud and AI/ML pre‑sales responses and projects. Strong passion for technology exploration, AI/ML development, and continuous learning. REQUIRED SKILLS Primary Skills AWS Cloud Solutions and Operations, Architecting and Automation of Cloud Infrastructure, AI/ML Integration Deep, hands‑on technical expertise in AWS, including new services such as Lambda SnapStart, Graviton‑based compute, and advanced analytics (e.g., Amazon QuickSight, Redshift Serverless). Expertise in Linux administration, AWS VPC, subnet management, and troubleshooting. Understanding of Cloud Platform Engineering, SRE, and AI/ML Ops best practices. Good knowledge of application build/release processes, CI/CD pipelines (Jenkins, Chef/Puppet, AWS CodePipeline, CodeBuild, and integration with AI‑powered DevOps tools). Familiarity with Agile processes and ability to collaborate with cross‑functional teams (Development, Infrastructure, Security, Testing, QA, and Data Science/AI teams). Excellent written and verbal communication, presentation, and collaboration skills. Team leadership skills. DESIRED SKILLS Secondary Skills Good experience in automation scripts such as PowerShell, AWS CLI, Python, JSON, and familiarity with AI/ML frameworks and tools. Assist with backups and recovery, including AI‑driven backup optimization. Deploy applications, performance tuning, troubleshooting, maintain security, and automate routine procedures through scripting and AI‑based automation. Integrate 3rd party tools, APIs, and AI/ML services in AWS environments. Knowledge of ServiceNow and its integration with AWS and AI/ML workflows is recommended. 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. Job Infrastructure Organization CIS US MS Title Senior Cloud Infrastructure Architect - AWS/AI/ML Location NY-New York Requisition ID 081893 Other Locations US-TX-Dallas #J-18808-Ljbffr