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# DevOps

- **Company:** Capgemini
- **Location:** Dallas, TX, United States
- **Salary:** $85,000.0 - $96,655.0
- **Contract:** Permanent contract
- **Skills:** Private Networks, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Foundry, System Configuration, Continuous Integration, DevOps, Distributed Systems, Monitoring of Systems, Identity and Access Management, OpenShift, Platform as a Service (PAAS), Azure Active Directory, Prometheus, Software Deployment, Datadog, Data Logging, System Availability, Safety Critical Systems, Kubernetes Helm Charts, Amazon Virtual Private Cloud (VPC), Cloudformation, Kubernetes, Rancher, IBM UrbanCode Deploy, Terraform, Splunk, Devsecops, Docker, Jenkins
- **Published:** September 16, 2026
- **Apply:** https://dejobs.org/x/x/9A8D0E9407C24AE6B73574371FCD8B76/job/

## About the Role

Hands-on experience with one or more of the languages (Python, Java, Go, Javascript etc.)

Solid experience working with public cloud and cloud infrastructure build

Cloud platform experience with certifications preferred (AWS or Azure)

Experience provisioning compute resources or managing IAAM roles and subscriptions in the cloud

Experience building VPCs, private networks and network routes and rules in the public cloud.

Demonstrated ability to utilize modern monitoring tools (DataDog, Prometheus, Splunk, ...)

Experience managing systems using infrastructure as code tools (CloudFormation, Terraform, ARM etc..)

Experience building CI-CD pipelines for DevSecOps functions

Hands on Experience on Deployments tools like Udeploy, Starling, Mario...

Knowledge of WS Cloud DevOps services such as Jenkins, IAM, VPC, ECS, Lambda, RDS, CloudFormation

Knowledge of Docker containers and PaaS (such as Cloud Foundry, Kubernetes, OpenShift, Rancher) highly desired.

Hands-on Kubernetes skills and knowledge

Experience managing systems using infrastructure as code tools (IAM, ARM, Terraform, ...).

Expertise in Production support, including incident management, root cause analysis, real-time monitoring, and high availability and reliability of critical systems in a fast-paced environment.

Azure application deployment Process.

Create and maintain docker files, manifest files, and HELM Charts for different environments\orchestrators

Experience engineering/sizing, installing, configuring, and maintaining mission critical applications.

Azure Active Directory hands on experience.

Strong analytical, technical, and problem-solving skills to troubleshoot issues in the cloud.

Experienced in Instrumentation with systems skills on building and operating, monitoring, logging, alerting services of distributed systems at scale

Your ability to learn and experiment with new technologies and patterns.