Sr Engineer, Software - AIOps [T500-20351]

ANSR is hiring for one of its clients.

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 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. You’ll 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 you’ll work closely with SRE, DevOps, data, and platform teams to embed intelligent automation into core operational workflows.

What You’ll 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 You’ll Bring :

Must Have Skills :

Nice To Have :