Platform Engineer

At T-Mobile, we invest in YOU!  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! Are you ready to join the Un-carrier movement? The Platform Engineer is essential for designing and optimizing infrastructure that supports internal services and platforms within the organization. It involves building resilient and scalable systems to ensure robust infrastructure and enterprise-wide governance. The role focuses on implementing continuous integration and continuous deployment (CI/CD) pipelines and enhancing data platform interoperability. Success is measured by system reliability, efficient software deployment, and seamless technology migrations and integrations. The work impacts the organization by enabling adaptability and operational excellence in a dynamic technological environment. We are a team that encourages innovation and advocates an agile and open approach, truly working and playing in the Un-carrier way! Job Responsibilities : Designs and develops resilient and scalable infrastructure systems  Own day-to-day operations of hybrid infrastructure supporting T-Mobile’s platform services. Ensure uptime, performance, and security across on-prem, AWS, and Azure environments. Troubleshoot complex infrastructure, configuration, and deployment issues impacting platform reliability. Lead patching, updates, and configuration management with minimal oversight. Participate in on-call rotation and drive improvements in incident response and postmortem practices. Optimizes existing infrastructure to enhance functionality and interoperability Ensure system reliability, performance, and security through proactive monitoring, automation, and performance tuning Troubleshoot complex platform and application integration issues impacting performance or availability Develop, execute, and tune DML logic — queries, data migrations, transformations, and batch operations — for performance and reliability Drive incident analysis and reliability reviews to improve operational posture and system resilience Implements and maintains CI/CD pipelines for efficient software deployment  Support containerization and orchestration technologies, including Docker and Kubernetes, to standardize deployment practices Design, develop, and maintain automation using Python, Bash, or PowerShell to increase operational efficiency. Implement and manage Infrastructure-as-Code (IaC) using Terraform, Ansible, or equivalent frameworks. Build and maintain CI/CD pipelines for platform infrastructure and environment deployments (GitLab CI/CD, Jenkins). Establish documentation standards and reusable modules for consistent automation delivery. Collaborates within Agile teams to drive continuous improvement and operational excellence  Contribute to Agile ceremonies, driving infrastructure readiness and delivery excellence Advocate for DevOps and automation best practices across engineering teams Participate in on-call rotations and lead incident resolution and root cause analysis Lead efforts in automation for self-healing, scaling, and performance tuning Facilitates seamless migrations and integrations across different technologies Develop and manage observability solutions leveraging Prometheus, Grafana, CloudWatch, Azure Monitor, or ELK Implement proactive monitoring, log analysis, and metrics-based alerting for early issue detection Collaborate with SREs to improve mean time to resolution (MTTR) and overall platform reliability Execute and optimize DML operations within Postgres, Oracle, and Cassandra environments under existing organizational DDL structures Develop and maintain integrations with Kafka for event-driven data pipelines, message publishing, and asynchronous workloads Implement caching strategies (Redis, in-memory caches) to reduce query latency and improve application performance Support database performance tuning, data ingestion, and transformation activities aligned with enterprise governance standards Partner across engineering, DevOps, and data teams to design scalable solutions and resolve complex issues Education and Work Experience: Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent (Required) Acceptable areas of study include Computer Science, Data Science or Related Field (Preferred) 2-4+ years - Designing and developing scalable and resilient infrastructure systems 2-4+ years - Implementing and managing CI/CD pipelines for enterprise applications 2-4+ years - Integrating and optimizing data platforms for interoperability across various technologies Knowledge, Skills and Abilities : Hands-on development experience using Python, Bash, or PowerShell Experience with observability solutions leveraging Prometheus, Grafana, CloudWatch, Azure Monitor, or ELK Licenses and Certifications : Certified Kubernetes Administrator (CKA): Certification that validates the ability to design, build, configure, and expose native cloud applications for Kubernetes, an essential skill for Platform Engineers working on scalable systems. (Preferred) AWS Certified Solutions Architect: Certification demonstrating proficiency in designing distributed systems and applications on the AWS platform, which is crucial for Platform Engineers involved in cloud infrastructure and migrations. (Preferred) Certified Information Systems Security Professional (CISSP) Certification indicating advanced knowledge in information security, including system architecture and governance, important for ensuring the security and integrity of platform infrastructures. (Preferred) At leas