Sr Engineer, Site Reliability

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 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 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