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 AIOps Engineer,you will be a key member of the CFL Platform Engineering and Operations team you will help design and implement next-generation intelligent operations that support AI/ML platforms, LLM-based applications, and large-scale distributed systems. Youll develop automation, observability, and remediation pipelines that enable predictive insights, reduce incident impact, and enhance the reliability of production environments.
This is a hands-on, technical role where youll work closely with SRE, DevOps, data, and platform teams to embed intelligent automation into core operational workflows.
What Youll Do

• Develop automation pipelines for anomaly detection, root cause analysis, and self-healing
• Build integrations between monitoring systems and AI/ML models for predictive alerting
• Engineer real-time observability pipelines (logs, metrics, traces) across distributed platforms
• Deploy and manage tools such as OpenTelemetry, Prometheus, Grafana, Splunk, and Datadog
• Extend telemetry coverage for LLM-based systems, APIs, and hybrid cloud environments
• Implement event-driven workflows for incident remediation and automated recovery
• Contribute to intelligent alerting standards, dashboarding, and escalation logic
• Collaborate with SRE and DevOps teams to define and implement reliability automation
• Document playbooks, remediation flows, detection rules, and AIOps patterns
• Partner with platform and data science teams on AIOps architecture and telemetry modeling

What Youll Bring

• Bachelor's degree in Computer Science, Engineering, or a related field
• 4-7 years of experience in SRE, DevOps, automation, or infrastructure roles
• Hands-on experience with observability tools: Prometheus, Grafana, Splunk, OpenTelemetry
• Proficient in scripting languages such as Python, Go, or Bash
• Experience building CI/CD pipelines and integrating infrastructure telemetry
• Working knowledge of Kubernetes, container operations, and cloud-native architectures
• Familiarity with Azure (preferred), AWS or GCP
• Understanding of incident response workflows, system health checks, and auto-remediation

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)
• AIOps Skills: GitOps/ArgoCD/Flux

Nice To Have

• Fleet mgmt across EKS/AKS, Databricks integration
• Measure adoption (time-to-first-deploy)
• Mentor/coach product teams
• Multi-cloud identity federation (OIDC, SPIFFE)
• Standardized compositions, lifecycle governance

Skills Required