Job Description

About TMUS Global Solutions
T-Mobile is Americas supercharged Un-carrier, challenging conventions and setting new standards in wireless. With the nations largest and fastest 5G network, T-Mobile delivers advanced connectivity and unmatched value to millions across the U.S. Were unwaveringly obsessed with providing the best possible service experience, driven by a spirit of disruption that fuels competition and innovation in wireless and beyond.
TMUS India Private Limited is a subsidiary of T-Mobile US, Inc. and operates as TMUS Global Solutions.

About the Role
As 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 Youll 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, OpenTelemetry
• Support AIOps, model observability, policy enforcement, and audit readiness
• Mentor senior SREs and foster a high-ownership, technical excellence culture

What Youll Bring

• Bachelor's or Masters 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 resilience

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)
• Incident/Change/Problem Management

Nice 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

Skills Required