Engineer, Software - Cloud Infrastructure [T500-20361]

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.

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 :

As an Engineer – Cloud Infrastructure, you will be a key member of the CFL Platform Engineering and Operations team, you’ll work on the backbone of modern digital platforms. This hands-on role focuses on building and maintaining secure, scalable, and resilient infrastructure across cloud environments—primarily Azure, but also AWS or GCP. You’ll collaborate with engineers, DevOps, and architects to provision compute, networking, storage, and orchestration layers using Infrastructure-as-Code.

This position offers the opportunity to work with real-world cloud architecture patterns, automation frameworks, and DevOps pipelines that support enterprise-scale services in finance, credit, document systems, and emerging AI capabilities.

What You’ll Do :

Support design and provisioning of cloud infrastructure on Azure (preferred), AWS, or GCP

Use Infrastructure-as-Code (Terraform, Helm, Ansible, or ARM templates) to manage compute, storage, and networking resources

Help maintain Kubernetes clusters, container platforms, and deployment workflows

Participate in CI / CD pipeline maintenance and infrastructure rollout automation

Contribute to infrastructure scripting and internal tooling using Python, Bash, or PowerShell

Implement monitoring, alerting, and logging tools such as Prometheus, Grafana, or Splunk

Assist in troubleshooting, patching, upgrades, and root cause analysis for infrastructure incidents

Document configuration patterns, runbooks, and operational playbooks for reliability

Collaborate with platform, DevOps, and cloud teams to ensure best practices and repeatable deployment strategies

Support compliance, performance, and scalability efforts across platform environments

What You’ll Bring :

Bachelor’s degree in Computer Science, Engineering, or a related technical field

2-5 years of experience in cloud infrastructure, platform engineering, or DevOps roles

Hands-on experience with Azure (preferred), AWS, or GCP

Proficiency with Infrastructure-as-Code tools such as Terraform, Helm, or Ansible

Basic scripting skills in Python, Bash, or PowerShell for automation tasks

Familiarity with container orchestration systems (Kubernetes) and CI / CD tooling (GitLab, Jenkins, etc.)

Experience supporting deployments, configuration management, and infrastructure lifecycle

Exposure to observability tools and practices for logging, alerting, and visualization

Solid understanding of networking, system administration, and cloud security basics

Strong documentation and communication skills; ability to collaborate across technical teams

A learning mindset, with interest in platform automation, reliability, and scalability engineering

Must 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)

Cloud Infra : AWS & Azure

Nice To Have :

AWS & Azure fundamentals : VPC / VNet, routing, IAM / Entra roles

Kubernetes (EKS / AKS), ingress controllers (Envoy / Gloo), CNI (Calico / Cilium)

Monitoring / logging : CloudWatch, Azure Monitor, Prometheus / Grafana

SQL Server PaaS, MongoDB Atlas operations (backup / restore, scaling)

Secure connectivity : vendor ingress (Akamai, Cequence)

Terraform for infra provisioning (modules, remote state, drift detection)