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Sr. Engineer, Site Reliability

T-Mobile
Frisco, USA
Full-time
Senior · 4–7 years experience
Onsite
Discovered 1 weeks ago

Full Job Posting

Job Responsibilities

  • 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
  • Education and Work Experience:
  • 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

Qualifications

  • Bachelor's Degree plus 3 years of related work experience
  • 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.

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