Sr Engineer, Software

Sr. Engineer, Platform (L08)
About T-Mobile:
T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is Americas 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 Solutionsis a world-class technology powerhouse accelerating the companys global digital transformation.

With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

About the Role:

Sr. Engineer, Platform leads the design, development, and automation of T-Mobiles data and infrastructure platforms that enable analytics and software delivery across the enterprise. This role serves as a technical expert, driving platform reliability, scalability, and modernization through cloud-native and automation-first solutions.

The engineer builds reusable frameworks, integrates infrastructure as code, and enhances observability across complex systems. This position provides technical leadership, mentorship, and architectural direction that advances T-Mobiles builder culture and accelerates cloud and data transformation.

What Youll Do:

• Architect, design, and implement automated, cloud-native platform solutions using Python, PowerShell, Bash, and infrastructure-as-code tools such as Terraform, ARM, or Ansible
• Develop reusable platform components, automation frameworks, and blueprints for multi-cloud environments including Azure, AWS, and GCP
• Identify, assess, and automate repetitive manual platform tasks by developing backend scripts and utilities in Python, PowerShell reducing toil, minimizing human error, and accelerating platform delivery cycles
• Build and maintain internal automation tooling to streamline platform provisioning, configuration management, and operational workflows, enabling engineering teams to focus on higher-value activities
• Lead orchestration and automation across platform technologies such as Databricks, Snowflake, and Control-M to improve scalability, security, and performance
• Design, implement, and maintain advanced observability, monitoring, and alerting solutions to improve platform reliability and operational response
• Define platform standards, reference architectures, and best practices in collaboration with enterprise architecture and security partners
• Mentor junior and mid-level engineers through code reviews, technical guidance, and design leadership
• Document platform architectures, runbooks, and automation frameworks to enable reuse and consistency across teams

What Youll Bring:

• Bachelors Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 57 years of combined software engineering, DevOps, and platform engineering experience with a strong focus on automation and reduce manual tasks
• Hands-on experience designing and deploying infrastructure using infrastructure as code in Azure, AWS, or GCP
• Strong experience working with modern platform technologies such as Databricks, Snowflake, and Control-M, AWS, Azure
• Demonstrated technical leadership and mentoring experience
• Strong problem-solving skills with the ability to reason across complex platform and system architectures
• Excellent communication skills and the ability to influence across cross-functional teams

Must Have Skills:

• Expert-level proficiency in programming and automation using Python, and PowerShell
• Deep experience with cloud platforms and architectures, including Azure (preferred), AWS, or GCP
• Advanced proficiency with infrastructure-as-code tools such as Terraform, Ansible, or ARM templates
• Strong expertise with data and platform technologies including Snowflake, Databricks, and pipeline orchestration tools
• Ability to design scalable, fault-tolerant, and cost-efficient platform systems
• Strong understanding of CI/CD and DevOps practices, including Git, automated testing, and deployment pipelines
• Experience with database design, SQL performance optimization, and system architecture
• Excellent leadership, mentoring, and cross-functional collaboration skills
• Basic knowledge of implementing AI solutions using Claude code or Cursor.

Nice to Have:

• Experience with additional programming languages such as Java
• Experience with data visualization tools (Power BI, Tableau, Metric Insights, Qlik Sense)
• Experience with data virtualization tools such as Denodo, analytical tools such as SAS, or on-prem platforms such as Hadoop
• Platform and cloud certifications such as:
  • Microsoft Azure Administrator (AZ-104) or Solutions Architect (AZ-305)
  • Terraform Associate or Professional Certification
  • SnowPro Advanced or Databricks Certified Data Engineer Professional
  • Linux Foundation Certified System Administrator (LFCS)