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.

Job Description

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/ Recent 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

📌 Sr Engineer, Software (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad