> Markdown version of [/jobs/ext/3822204-sr-engineer-site-reliability](https://www.wearedevelopers.com/jobs/ext/3822204-sr-engineer-site-reliability). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Sr. Engineer, Site Reliability

- **Company:** T-Mobile Us, Inc.
- **Location:** Kent, WA, United States
- **Experience:** Expert
- **Salary:** $107,300.0 - $193,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Application Services, Bash Shell, Continuous Integration, DevOps, Python (Programming Language), Reliability Engineering, Microsoft Copilot, Software Deployment, Software Engineering, Scripting, Google Cloud, Reliability of Systems, Generative AI, Kubernetes, Information Technology, Claude, Synthesizing Data, GPT, Programming Languages
- **Published:** October 18, 2026
- **Apply:** https://diversityjobs.com/career/18673614/Sr-Engineer-Site-Reliability-Washington-Bellevue

## About the Role

* Bachelor's Degree plus 3 years of related work experience
OR advanced degree with 1 year of related work experience
OR combination of education and experience deemed equivalent (Required)

 * Acceptable areas of study include Computer Science, Engineering or related field (Required)
 * 4-7 years Working in operations or develops environments (Preferred)
 * 4-7 years Troubleshooting customer related issues and managing customer relationships (Preferred)
 * 4-7 years Developing software solutions using Python or similar programming languages (Preferred)

Required Knowledge, Skills and Abilities:

 * Automation
 * Bash (Programming Language)
 * CI/CD
 * Capacity Planning
 * Emotional Resilience
 * Incident Management
 * Mentorship
 * Python (Programming Language)
 * Scripting
 * System Reliability

Preferred Knowledge, Skills and Abilities:

 * DevOps
 * Kubernetes
 * Systems Recovery
 * Learning agility
 * Experience with AI Tools: Familiarity with generative AI and productivity assistants (such as ChatGPT, Claude, and Microsoft Copilot) to streamline daily tasks, research, data synthesis, or content drafting.

Licenses and Certifications:

 * AWS Certified DevOps Engineer
This certification validates technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform. (Preferred)

 * Certified Kubernetes Administrator
This certification validates the skills required for day-to-day administration of Kubernetes environments. (Preferred)

 * Google Cloud Certified - Professional DevOps Engineer
This certification validates the ability to efficiently develop and deploy applications using Google Cloud technologies and to manage operations. (Preferred)

 * At least 18 years of age
 * Legally authorized to work in the United States

## Description

* Enhance system reliability and resilience by identifying issues and implementing preventive measures to reduce downtime
 * Automate processes to accelerate software development and deployment while minimizing manual interventions
 * Conduct root cause analysis and collaborate with problem management to prevent incident recurrence and improve system operations and independently handle incidents
 * Apply problem-solving and analytical skills to prevent operational incidents and maintain system stability
 * Leverage programming, scripting, and incident response expertise to improve system robustness and efficiency
 * Continuously learn new skills and technologies to adapt to changing environments and drive innovation
 * Also responsible for other duties/projects as assigned by business management as needed