Job Description

About TMUS Global Solutions
T-Mobile is America's supercharged Un-carrier, challenging conventions and setting new standards in wireless. With the nation's largest and fastest 5G network, T-Mobile delivers advanced connectivity and unmatched value to millions across the U.S. We're unwaveringly obsessed with providing the best possible service experience, driven by a spirit of disruption that fuels competition and innovation in wireless and beyond.
Disclaimer: TMUS India Private Limited is a subsidiary of T-Mobile US, Inc. and operates as TMUS Global Solutions. TMUS India Private Ltd., and T-Mobile US, Inc., do not provide telecommunication services in India.

About the Role
As a Senior Site Reliability Engineer, you will be a key member of the CFL Platform Engineering and Operations team you will play a pivotal role in building and scaling intelligent infrastructure to support AI/ML applications, enterprise services, and LLM-based platforms. You will contribute to the design and implementation of observability frameworks, automation-first operations, and incident response strategies to ensure reliability, performance, and scalability across production systems.
What Youll Do

• Implement and maintain observability, monitoring, and alerting systems for AI platforms and backend services
• Design and support telemetry pipelines, logging infrastructure, and dashboards (Splunk, Prometheus, Grafana, OpenTelemetry)
• Define and monitor SLOs, SLIs, latency, availability, and throughput metrics
• Participate in on-call rotations, incident resolution, root cause analysis, and postmortems
• Improve CI/CD workflows and infrastructure automation using GitLab pipelines
• Optimize and scale infrastructure including Kafka, RMQ, HAProxy, and distributed APIs
• Collaborate with engineering teams on governance, compliance, and secure operations
• Support capacity planning, cost analysis, and tuning for high-scale performance
• Automate repetitive tasks and reduce toil via scripting (Python, Bash, Java)
• Contribute to runbooks, knowledge base articles, and SRE best practice documentation
• Mentor junior engineers and support a culture of operational excellence and reliability

What Youll Bring

• Bachelors degree in Computer Science, Engineering, or a related technical field
• 4-7 years in SRE, DevOps, platform, or operations engineering roles
• Strong hands-on experience in observability, monitoring, and distributed systems troubleshooting
• Proficiency in scripting languages such as Python, Bash, or PowerShell
• CI/CD experience with GitLab and automation across deployment pipelines
• Solid understanding of SQL and NoSQL systems including Oracle DB and MongoDB
• Familiarity with Kubernetes, container orchestration, and hybrid cloud (Azure, AWS, GCP, OCI)
• Experience working in high-stakes, incident-driven environments
• Strong working knowledge of Splunk, Grafana, Prometheus, and other observability tools
• Understanding of AI/ML systems, inference APIs, and LLM infrastructure is a plus
• Experience in platform compliance, security enforcement, and regulated domains (finance preferred)

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

• Multi-region failover (SQL Server, MongoDB, vendors)
• Observability platform design (sampling, retention policies)
• Own domain SLOs and error budgets
• Perf engineering for latency-sensitive apps
• Toil automation (SRE bots, operators

Skills Required