Job Title

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.About the Role:The Engineer – you will be a key member of the CFL Platform Engineering and Operations team . Platform Automation will focus on building, maintaining, and scaling automation solutions for cloud-native platforms and infrastructure. This role is essential to supporting high-velocity development teams through reliable, scalable, and self-service platform capabilities. You will work across provisioning, CI/CD, observability, and reliability layers to reduce operational overhead and drive consistency through code. The ideal candidate is hands-on, collaborative, and passionate about infrastructure automation, DevOps practices, and developer experience.What You’ll Do:- Develop and maintain scripts, tools, and workflows for provisioning, deployment, patching, and configuration management - Build internal developer tools and automation that streamline infrastructure and application lifecycle management - Design and implement Infrastructure-as-Code (IaC) using Terraform, Helm, or Ansible - Contribute to event-driven automation using CI/CD tools such as GitLab, Jenkins, or ArgoCD - Integrate monitoring, alerting, and logging capabilities into platform automation using tools like Prometheus, Grafana, or Splunk - Develop and maintain auto-remediation and health check mechanisms to support resilient operations - Apply GitOps principles to infrastructure and application delivery - Collaborate with DevOps, cloud, SRE, and security teams to gather requirements and build reliable, reusable automation components - Create and maintain documentation, usage guides, and onboarding material for internal automation tools - Participate in daily standups, retrospectives, and engineering planning sessionsWhat You’ll Bring:- Bachelor’s degree in Computer Science, Engineering, or a related technical field - 2-5 years of experience in DevOps, platform, automation, or infrastructure engineering roles - Hands-on experience in scripting and automation using Python, Bash, or Go - Proficiency in Infrastructure-as-Code tools such as Terraform, Ansible, or Helm - Familiarity with CI/CD pipelines and tools like GitLab CI/CD, Jenkins, or ArgoCD - Working knowledge of Kubernetes and container-based architecture - Experience working in cloud environments, preferably Azure - Exposure to building internal tooling, developer self-service portals, or onboarding automation - Familiarity with observability practices and tooling for metrics and logging - Understanding of platform security practices, secrets management, and API integrations - Effective communication and cross-functional collaboration skills - Strong problem-solving ability and a drive to automate manual or repetitive work - Willingness to learn new tools and technologies and contribute to team-wide improvement initiativesMust Have Skills:- Application & Microservice: Java, Spring boot, API & Service Design - Any CI/CD Tools : Gitlab Pipeline/Test Automation/GitHub Actions/ Jenkins /Circle CI - App Platform: Docker & Containers (Kubernetes) - Any Databases : SQL & NOSQL (Cassandra/Oracle/Snowflake/MongoDB) - Any Messaging: Kafka, Rabbit MQ - Any Observability/Monitoring: Splunk/ Grafana/ Open Telemetry /ELK Stack/ Datadog/ New Relic/ Prometheus) - AI/Machine learning: Anomaly detectionNice To Have:- Baseline anomaly detection for logs/metrics - Configure AIOps (Datadog, Moogsoft, BigPanda) - Kafka/EventHubs streaming ingestion - OTel collector pipelines (enrichment, normalization)