Principal Engineer, Software

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 operates as TMUS Global Solutions.About the Role:As Principal Engineer – AIOps, you will be a key member of the CFL Platform Engineering and Operations team you will lead the development of AI-driven operational strategies, observability systems, and automated remediation pipelines that drive resiliency, self-healing, and real-time insight across cloud-native platforms. You will architect telemetry-rich systems, influence enterprise-wide reliability frameworks, and power the next generation of operational intelligence for large-scale AI/ML platforms.What You’ll Do:Architect AI-driven pipelines for monitoring, alerting, remediation, and capacity optimizationLead platform observability strategy across LLMs, inference APIs, and AI model infrastructureBuild and operate self-healing, event-driven automation systems using telemetry and anomaly detectionDefine and integrate AIOps architecture using tools like OpenTelemetry, Prometheus, Splunk, Solo Gateway, and custom LLM agentsPartner with data science teams to turn model insights into real-time operational signalsLead implementation of zero-downtime operations, production-safe chaos testing, and feedback loopsScale observability for AI metrics: latency, token usage, drift, throughput, and cost efficiencyDrive GitOps and CI/CD practices using GitLab and cloud-native automationMentor engineers across observability, reliability, MLOps/LLMOps, and platform automationCollaborate with ML, platform, and SRE teams to define SLAs, escalation strategies, and platform-wide reliability goalsPresent engineering strategy, progress, and outcomes to senior leadershipWhat You’ll Bring:Bachelor’s or Master’s in Computer Science, Engineering, or related field7-12 years in engineering, with 5+ years in SRE, DevOps, automation, or platform operationsStrong programming skills in Python or Java; experience with scripting and tool integrationDeep expertise in AIOps, observability, and platform automationExperience architecting distributed systems and AI/ML infrastructure (LLMs, inference APIs)Hands-on with Splunk, Prometheus, Grafana, OpenTelemetry, Datadog, or similar toolsUnderstanding of MLOps/LLMOps, model reliability frameworks, and golden set validationFamiliarity with cloud-native infrastructure (Azure preferred; AWS, GCP also accepted)Experience with event-driven middleware such as Kafka, HAProxy, or RabbitMQTrack record in leading large-scale reliability initiatives, mentoring engineers, and scaling platform automationStrong communication and stakeholder collaboration skillsKnowledge of operational compliance, governance, and secure API orchestrationPassion for operational excellence, intelligent systems, and automation-driven transformationMust 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)AIOps Skills: GitOps/ArgoCD/FluxNice To Have:Compliance-by-default baked into platform APIsCritical migrations & modernization leadershipGolden paths as reference architecturesPlatform strategy, SLAs, roadmapVendor mgmt, ROI/TCO tracking