Sr Engineer, Software - AI Database Automation [T500-27555]

About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

About TMUS Global Solutions:

TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited operates as TMUS Global Solutions.

The Software Engineer – Database Automation & AI is responsible for designing, developing, and implementing automation solutions and AI-driven capabilities that improve the efficiency, reliability, and scalability of enterprise database platforms. This role combines software engineering expertise with database technologies and modern AI capabilities to automate operational processes, enhance developer productivity, and accelerate cloud transformation.

What You’ll Do:

• Design, develop, and maintain automation solutions supporting enterprise database platforms.
• Build software solutions to automate database provisioning, patching, configuration management, upgrades, backups, validation, and operational workflows.
• Develop AI-enabled automation using Large Language Models (LLMs), Generative AI, intelligent agents, and copilots.
• Build RESTful APIs, microservices, and self-service automation services.
• Develop automation using Python, PowerShell, Bash, or similar scripting languages.
• Integrate automation with GitHub Actions, Azure DevOps, Jenkins, or GitLab CI/CD pipelines.
• Develop Infrastructure as Code (IaC) using Terraform, Ansible, ARM Templates, Bicep, or CloudFormation.
• Develop integrations with AWS, Azure, and Google Cloud Platform services.
• Collaborate with Database Engineers to automate High Availability, Disaster Recovery, monitoring, backups, performance tuning, and lifecycle management.
• Implement AI-powered operational capabilities including anomaly detection, intelligent alerting, automated incident response, predictive analytics, and root cause analysis.
• Integrate with observability platforms including Splunk, Grafana, Prometheus, Datadog, Dynatrace, and OpenTelemetry.
• Write clean, maintainable, secure, scalable code and participate in code reviews, testing, and production support.

What You’ll Bring:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• 4+ years of software engineering, automation engineering, platform engineering, or DevOps experience.
• Strong programming experience in Python.
• Experience with PowerShell, Bash, or Shell scripting.
• Experience developing REST APIs and microservices.
• Knowledge of Oracle, SQL Server, MongoDB, Redis, PostgreSQL, and MySQL.
• Experience building database or infrastructure automation.
• Experience with AWS, Azure, or Google Cloud Platform.
• Experience using Git, GitHub, Azure DevOps, or GitLab.
• Experience with Terraform, Ansible, CloudFormation, or Bicep.
• Working knowledge of Docker and Kubernetes.
• Strong understanding of SDLC, Agile methodologies, and DevOps practices.
• Excellent analytical and troubleshooting skills.

Preferred Skills:

• Experience with Azure OpenAI, OpenAI APIs, Amazon Bedrock, Google Vertex AI, or Anthropic Claude.
• Experience with LangChain, Semantic Kernel, AI Agents, Retrieval-Augmented Generation (RAG), or Model Context Protocol (MCP).
• Experience developing enterprise database automation frameworks.
• Experience with ServiceNow integration and ITSM automation.
• Experience with vector databases and MLOps.
• Experience with Splunk, Grafana, Prometheus, Datadog, Dynatrace, or OpenTelemetry.