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 is a subsidiary of T-Mobile US, Inc. and operates as TMUS Global Solutions.
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 You’ll 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, Open Telemetry)
- 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 You’ll Bring
Bachelor’s degree in Computer Science, Engineering, or a related technical field4-7 years in SRE, DevOps, platform, or operations engineering rolesStrong hands-on experience in observability, monitoring, and distributed systems troubleshootingProficiency in scripting languages such as Python, Bash, or PowerShellCI / CD experience with GitLab and automation across deployment pipelinesSolid understanding of SQL and NoSQL systems including Oracle DB and MongoDBFamiliarity with Kubernetes, container orchestration, and hybrid cloud (Azure, AWS, GCP, OCI)Experience working in high-stakes, incident-driven environmentsStrong working knowledge of Splunk, Grafana, Prometheus, and other observability toolsUnderstanding of AI / ML systems, inference APIs, and LLM infrastructure is a plusExperience in platform compliance, security enforcement, and regulated domains (finance preferred)Must Have Skills
Application & Microservice : Java, Spring boot, API & Service DesignAny CI / CD Tools : Gitlab Pipeline / Test Automation / GitHub Actions / Jenkins / Circle CIApp Platform : Docker & Containers (Kubernetes)Any Databases : SQL & NOSQL (Cassandra / Oracle / Snowflake / MongoDB)Any Messaging : Kafka, Rabbit MQAny Observability / Monitoring : Splunk / Grafana / Open Telemetry / ELK Stack / Datadog / New Relic / Prometheus)Incident / Change / Problem ManagementNice To Have
Multi-region failover (SQL Server, MongoDB, vendors)Observability platform design (sampling, retention policies)Own domain SLOs and error budgetsPerf engineering for latency-sensitive appsToil automation (SRE bots, operators