Engineer, SRE GenAI

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Job Overview
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.
We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today!

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, 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. 

Education and Work Experience:

• Bachelor's Degree 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)

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

Travel:
Travel Required (Yes/No): Yes
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $92,500 - $166,800

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ321838¶dox=1

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - 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, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is 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.
Talent comes in all forms at the Un-carrier. 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 [email protected] 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.