Engineer Software - Platform [T500-27464]

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.

Engineer, SW - Platform (L08) About the Role: Engineer, SW - Platform is responsible for designing, developing, and automating T-Mobile’s data and infrastructure platforms that enable analytics and software delivery across the enterprise. This role builds resilient, scalable, cloud-native systems that integrate software engineering, infrastructure, and operations to drive automation, efficiency, and reliability. The engineer develops infrastructure as code, orchestrates workflows, and creates reusable services and tools that accelerate delivery. This position bridges DevOps, Data Engineering, and Platform Operations disciplines and directly supports T-Mobile’s builder culture and cloud transformation strategy.

What You’ll Do:

• Design, build, and automate cloud-native platform solutions across Azure, AWS, or GCP environments or data visualization tools (PowerBI, Tableau, Metric Insights or Qlik Sense) or data virtualization tools (Denodo) or analytical tool (SAS) or on-prem platform (Hadoop).
• Develop reusable infrastructure modules, APIs, and automation frameworks using Python, PowerShell, Bash, and infrastructure-as-code tools
• Engineer orchestration, scheduling, and data platform pipelines, including automation for Databricks, Snowflake, and Control-M
• Develop and maintain scripts that support platform reliability and observability, including monitoring, alerting, and performance dashboards
• Build and maintain internal automation tooling to streamline platform provisioning, configuration management, and operational workflows, enabling engineering teams to focus on higher-value activities
• Collaborate on platform architecture, standards, and security controls to improve resiliency, performance, and cost efficiency
• Create and maintain platform documentation such as runbooks, blueprints, templates, and operational playbooks
• Support continuous improvement initiatives and perform other duties as assigned

What You’ll Bring:

• Bachelor’s Degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 3–5 years of combined software engineering, DevOps, or platform engineering experience
• Expertise in scripting using python and ability to develop automations to reduce manual tasks related to platform.
• Hands-on experience designing and deploying solutions in Azure, AWS, or GCP using infrastructure as code
• Experience working with modern data platforms, analytics, virtualization or visualization technologies
• Strong problem-solving skills with the ability to think critically across complex systems
• Effective communication skills and the ability to collaborate across engineering and business teams

Must Have Skills:

• Proficiency in programming and automation using Python, Bash, and PowerShell
• Experience with cloud platforms and cloud-native design principles, including Azure (preferred), AWS, or GCP
• Strong experience using infrastructure-as-code tools such as Terraform, Ansible, or ARM templates
• Hands-on experience with data platforms such as Snowflake and Databricks, or comparable analytics, virtualization, or on-prem platforms
• Experience designing database schemas and writing SQL for performance optimization
• Familiarity with CI/CD and DevOps practices, including Git, pipelines, automated testing, and deployments
• Strong skills working in Linux and Windows operating system environments
• Ability to collaborate effectively and produce clear technical documentation
• Basic knowledge of implementing AI solutions using Claude code or Cursor.

Nice to Have:

• Experience with data visualization tools such as Power BI, Tableau, Metric Insights, or Qlik Sense
• Experience with data virtualization tools such as Denodo or analytical tools such as SAS
• Experience with on-prem platforms such as Hadoop
• Cloud and platform certifications such as:
• Microsoft Azure Administrator (AZ-104)
• Terraform Associate or equivalent IaC certification
• SnowPro Core or Databricks Certified Data Engineer Associate
• Linux Foundation Certified System Administrator (LFCS)