Engineer, SRE GenAI

$92,500 - $166,800 Corporate Bonus Target: 15%

Benefits: life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k).

Job Overview

As an Engineer in Site Reliability Engineering (SRE) for AI Systems at T‑Mobile, you will help ensure the reliability, scalability, and performance of AI platforms. This hands‑on role involves on‑call rotations, improving system observability, and supporting operations across cloud‑native infrastructure, primarily Azure with exposure to AWS or GCP. You will work in a culture of innovation, agile methodologies, and transparency.

Job Responsibilities

• 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, focusing on Azure, with 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.

Education and Work Experience

• Bachelor’s Degree in Computer Science, Engineering, or a related field (Required).
• 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.

Preferred Qualifications

• 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.

Knowledge, Skills and Abilities

• Communication (Required)
• Customer Service (Required)
• Analytics (Required)
• Technical Writing (Required)

Other Information

• Travel: Yes
• DOT Regulated Position: No
• Safety Sensitive Position: No

At T‑Mobile, we are an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing or calling 1‑844‑873‑9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non‑accommodation related requests.