Sr Engineers, Software

T-Mobile•Bellevue, WA

4d•$212,202 - $217,202•Hybrid

About The Position

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! T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Sr Software Engineers located in Bellevue, WA will architect, develop, and implement cloud-native applications and scalable telemetry solutions using Golang, Kubernetes, and related technologies. Position duties and responsibilities include, but are not limited to: Responsible for building reliable, distributed systems that deliver high performance, observability, and operational visibility at scale. Design and develop cloud-native infrastructure and APIs using Go and Python, building custom Kubernetes controllers and operators to automate platform operations. Develop microservices and APIs in Golang, enabling infrastructure self-service and improving developer productivity using standards like Swagger and WSDL. Architect multi-cloud infrastructure across AWS and Azure using EC2/VMs, VPC/VNet, Load Balancers, RDS/Azure SQL, S3/Blob Storage, KMS/Key Vault, and DNS/IAM services. Implement observability platforms using Prometheus, Thanos, Grafana, OpenTelemetry, Splunk, and Outcold for metrics and logging. Automate infrastructure provisioning and delivery with Terraform, Ansible, GitOps (Flux), and GitLab CI pipelines. Ensure security and compliance with OPA/Gatekeeper, Kubernetes network policies, and tools like Wiz. Manage Kubernetes workloads with Containerd, Istio, and NGINX Ingress; implement autoscaling (KEDA), progressive delivery (Flagger), disaster recovery (Velero, ETCD), and stateful storage management with Portworx. Architect and manage GPU-optimized Kubernetes clusters for AI/ML workloads using NVIDIA GPU nodes; streamline multi-cluster operations with platforms like Spectro Cloud. Troubleshoot and debug Linux environments using Bash, systemd, and journalctl to ensure stability and resolve issues in cloud-native and containerized platforms. Telecommuting is permitted, but applicant must work from the worksite location at least 3-4 days per week. No additional national or international travel is anticipated.

Requirements

Experience utilizing multiple programming languages including Python, Go, Java, and JavaScript, with production-level development; and experience designing RESTful APIs, gRPC services, and event-driven applications.
Experience deploying and managing Kubernetes clusters on AWS EKS, Azure AKS, and on-premises using Kubeadm and Spectro Cloud; configuring ContainerD and Docker, RBAC, network policies, Istio and Cilium service meshes; and designing scalable micro-services architectures.
Experience designing and deploying cloud-native software systems using 12-Factor principles, including building microservices that are stateless and configurable, connecting to external services.
Experience utilizing Ubuntu, RHEL, and Flatcar Linux operating systems, including Bash scripting, troubleshooting kernel, network, and performance issues, and conducting root cause analysis of system and software failures.
Experience utilizing DevOps tools including GitLab CI/CD for automated build, test, and deployment; Terraform and Ansible for Infrastructure-as-Code with reusable modules; and secrets management using Vault and KMS.
Experience utilizing Prometheus and Grafana for monitoring, OpenTelemetry for tracing, Splunk for logging, and using observability data to improve performance and reliability.

Responsibilities

Responsible for building reliable, distributed systems that deliver high performance, observability, and operational visibility at scale.
Design and develop cloud-native infrastructure and APIs using Go and Python, building custom Kubernetes controllers and operators to automate platform operations.
Develop microservices and APIs in Golang, enabling infrastructure self-service and improving developer productivity using standards like Swagger and WSDL.
Architect multi-cloud infrastructure across AWS and Azure using EC2/VMs, VPC/VNet, Load Balancers, RDS/Azure SQL, S3/Blob Storage, KMS/Key Vault, and DNS/IAM services.
Implement observability platforms using Prometheus, Thanos, Grafana, OpenTelemetry, Splunk, and Outcold for metrics and logging.
Automate infrastructure provisioning and delivery with Terraform, Ansible, GitOps (Flux), and GitLab CI pipelines.
Ensure security and compliance with OPA/Gatekeeper, Kubernetes network policies, and tools like Wiz.
Manage Kubernetes workloads with Containerd, Istio, and NGINX Ingress; implement autoscaling (KEDA), progressive delivery (Flagger), disaster recovery (Velero, ETCD), and stateful storage management with Portworx.
Architect and manage GPU-optimized Kubernetes clusters for AI/ML workloads using NVIDIA GPU nodes; streamline multi-cluster operations with platforms like Spectro Cloud.
Troubleshoot and debug Linux environments using Bash, systemd, and journalctl to ensure stability and resolve issues in cloud-native and containerized platforms.