Principal Engineer, Site Reliability

About T-MobileT-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 SolutionsTMUS 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 RoleAs a Principal SRE, you will be a key member of the CFL Platform Engineering and Operations team ,you will lead reliability engineering for AI-powered platforms supporting LLM applications, AI gateways, and enterprise-scale services across finance, credit, collections, and document systems. You will design and implement observability and incident response frameworks, scale high-performance infrastructure, and champion SRE best practices to support secure, automated, and resilient systems.What You’ll Do- Architect observability and incident response pipelines for LLM, API, and backend systems - Define SLAs, SLIs, alerts, and dashboards for latency, throughput, and availability - Lead high-severity incident response, root cause analysis, and system recovery - Collaborate with AI, Platform, and Security teams to enforce operational guardrails - Implement automation-first strategies using GitLab CI/CD, Terraform, and deployment tooling - Guide infrastructure tuning, capacity planning, and cost optimization - Drive monitoring across hybrid clouds using Prometheus, Grafana, Splunk, Open Telemetry - Support AIOps, model observability, policy enforcement, and audit readiness - Mentor senior SREs and foster a high-ownership, technical excellence cultureWhat You’ll Bring- Bachelor's or Master’s in Computer Science, Engineering, or related field - 7-12 years in SRE, infrastructure, or platform roles in distributed systems - Strong experience in incident management, AI/ML observability, and performance engineering - Hands-on expertise with OpenAI APIs, inference systems, AI gateways, and secure APIs - Proficiency in Python, Java, Bash/PowerShell, YAML - Deep knowledge of CI/CD workflows, GitLab pipelines, and SDLC processes - Experience with Kafka, HAProxy, RabbitMQ, Oracle DB, MongoDB - Proven success in scaling cloud-native platforms on Azure, AWS, GCP, or OCI - Familiarity with AIOps, latency scoring, policy validation, and secure AI operations - Background in compliance, governance, and enterprise risk management for AI systems - Advanced debugging skills across data, infrastructure, networking, and app layers - Leadership in chaos engineering, SLO-based operations, and system resilienceMust 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) - Incident/Change/Problem ManagementNice To Have- Compliance-aligned continuity planning (PCI, SOX) - Error-budget pacts with product/org leadership - Executive Incident/Change/Problem /risk reporting - Observability cost vs coverage trade-offs - Org-wide reliability governance strategy