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# AWS Devops - AOM

- **Company:** Capgemini
- **Location:** St. Louis, MO, United States
- **Salary:** $67,309.0 - $105,165.0
- **Contract:** Temporary contract
- **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Application Lifecycle Management, Continuous Integration, Data Infrastructure, DevOps, Monitoring of Systems, Identity and Access Management, Performance Tuning, Load Balancing, Cloud Platform System, Amazon Virtual Private Cloud (VPC), Containerization, Pyspark, Apache Kafka, Functional Programming, Cloudwatch
- **Published:** June 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b7b33dd94cf4d6d3

## About the Role

Do you have experience in DevOps automation?

## Description

St. Louis, MO, United States (On-site)
Contract (8 months 18 days)
Published 17 hours ago
Monitoring & Observability
CI/CD pipelines
Containerization & Orchestration
Big Data Platform
performance optimization
DevOps practices
cross - functional collaboration
AWS Core Services

 * Experienced Lead AWS DevOps Engineer to provide technical leadership across cloud platforms, DevOps practices, and production operations.
 * This role requires strong hands-on expertise in AWS services, container platforms, CI/CD pipeline management, and end to end environment operations across the application lifecycle.
 * The Lead DevOps Engineer will drive the stability, scalability, and automation of environments spanning from DEV to Production.
 * The role includes ownership of environment governance, application onboarding, production monitoring, performance optimization, infrastructure enhancements, application support, incident management and continuous improvement of DevOps processes.
 * As a senior technical lead, you will collaborate with cross functional teams including development, platform engineering, architecture, and support teams.
 * You will ensure seamless deployments, proactive platform monitoring, 24/7 operational readiness, define best practices, and contribute to platform modernization and automation initiatives.

Hands-on experience with AWS services:

 * EMR
 * Airflow (Managed Workflows)
 * MSK (Kafka)
 * PySpark
 * DocumentDB
 * EKS

Good understanding of:

 * IAM, VPC, EC2, Load Balancing, S3, CloudWatch, Lambda ( preferable )
 * Containerization & orchestration


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