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# Software Engineer Advanced

- **Company:** Siemens AG
- **Location:** Plano, TX, United States (Remote available)
- **Salary:** $156,998.0 - $197,700.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Amazon Web Services, Automation of Tests, Software as a Service, Cloud Computing, Cyber Security, Computer Engineering, Continuous Integration, Linux, Github, Python (Programming Language), Reliability Engineering, Ansible, Software Engineering, Datadog, Network Routing, Scripting, Gitlab, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Cloudwatch, Terraform, Software Version Control, Docker, Jenkins
- **Published:** June 6, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=4010ae11f042e34c

## About the Role

Do you have experience in Windows?, Do you have a Bachelor's degree?, Requirements: Employer will accept a bachelor's degree in Cybersecurity, Computer Science, Computer Engineering, or related field and 60 months of experience in the role offered or in a Software Engineer-related occupation.

## Description

Duties: Define and maintain AWS Load Generation Ecosystem Architecture and Product Deployments in AWS environments. Create and manage infrastructure, network routing and security configurations. Automate deployment of VPCs, Transit Gateways and CIDR blocks using Terraform, Jenkins and Ansible. Manage Amazon Machine Images (AMIs) including patching and Image Source control in Gitlab. Develop software automation scripts using Third Party Toolkits to assess Performance Profile under Load of Siemens SaaS Products. Telecommuting is acceptable from a commutable distance. [Hybrid role], 1. Working with AWS architecture, networking and security concepts, configurations and applications.

 2. Development and maintenance of Test Automation Scripting.

 3. Site Reliability Engineering constructs and tools.

 4. Experience with the following O/S, development, CICD and infrastructure tools - Ansible, Terraform, Jenkins, Linux, Windows, Python, Git/GitHub/Gitlab, Docker, Kubernetes, or Vault .

 5. Configure and implement Datadog monitoring solutions to provide comprehensive visibility into cloud infrastructure and applications.

 6. Ensure proactive detection and resolution of performance issues leveraging AWS Cloudwatch.

 7. Conduct regular cost optimization reviews.

 8. Identify opportunities for rightsizing instances and leverage cost-effective pricing models.


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