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Engineer, SRE GenAI

https://www.t-mobile.com Logo

T-Mobile

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Location:
United States , Bellevue ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

92500.00 - 166800.00 USD / Year
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Job Description:

As an Engineer in Site Reliability Engineering (SRE) for AI Systems, you will help ensure the reliability, scalability, and performance of AI platforms. This role includes participating in on-call rotations, improving system observability, and supporting operations across cloud-native infrastructure. This is a hands-on role ideal for someone with foundational SRE skills and a growth mindset to expand in GenAI and LLM infrastructure operations.

Job Responsibility:

  • Participate in on-call rotations to support AI platforms and respond to production incidents with urgency and precision
  • Monitor system health and performance using tools like Grafana, Splunk, and PowerBI
  • Support cloud-native infrastructure deployments, with a focus on Azure (primary), and exposure to AWS or GCP
  • Implement runbooks and automate repetitive operational tasks to reduce toil
  • Support CI/CD pipelines and IaC deployments using Gitlab pipelines, Databricks
  • Assist in the development and enforcement of Service Level Objectives (SLOs) and real-time alerts for AI APIs and services
  • Collaborate with senior engineers to improve platform reliability and scale LLM-based applications

Requirements:

  • Bachelor's Degree Computer Science, Engineering or a related field
  • 2–4 years of experience in DevOps, SRE, or cloud platform engineering
  • Hands-on experience with monitoring/logging systems such as Prometheus, Grafana, Splunk, or OpenSearch
  • Familiarity with cloud environments (preferably Azure
  • AWS/GCP a plus)
  • Experience in scripting or automation using Python, Bash, or PowerShell
  • Basic understanding of containerization (Docker, Kubernetes) and CI/CD concepts
  • Willingness to participate in an on-call schedule and incident resolution
  • Strong solving and root cause analysis skills
  • Communication
  • Customer Service
  • Analytics
  • Technical Writing
  • At least 18 years of age
  • Legally authorized to work in the United States

Nice to have:

  • Exposure to AI/ML infrastructure or LLM-based systems (e.g., OpenAI, ChatGPT, Azure OpenAI)
  • Experience with infrastructure-as-code tools like Terraform or ARM templates
  • Familiarity with LLM observability or API token usage metrics
  • Passion for learning AI reliability practices and collaborating with cross-functional teams
What we offer:
  • Competitive base salary and compensation package
  • Annual stock grant
  • Employee stock purchase plan
  • 401(k)
  • Access to free, year-round money coaches
  • Annual bonus or periodic sales incentive or bonus
  • Medical, dental and vision insurance
  • Flexible spending account
  • Paid time off and up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Enhanced family support
  • Childcare subsidy
  • Tuition assistance
  • College coaching
  • Short- and long-term disability
  • Voluntary AD&D coverage
  • Voluntary accident coverage
  • Voluntary life insurance
  • Voluntary disability insurance
  • Voluntary long-term care insurance
  • Mobile service & home internet discounts
  • Pet insurance
  • Access to commuter and transit programs

Additional Information:

Job Posted:
December 27, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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