Resume
Navaneeth Rao
Staff Software Engineer · 13+ years in cloud-native systems, ML infrastructure, and high-scale backend platforms.
Professional Summary
Staff Software Engineer with 13+ years building distributed cloud platforms, ML serving systems, high-throughput backend systems, and developer infrastructure at scale. Consistent record of business impact: $3M+ in cost savings, 30% efficiency gains, and 99.99% uptime across high-scale production systems. Experienced in system design leadership, architecture governance, and cross-team technical mentorship. Deep expertise in Java, Kubernetes, AWS, and GCP across ML inference, financial systems, and platform engineering, with graduate training in computer science (UT Dallas) and business (UIUC MBA, 3.95 GPA).
Experience
Migrated Walmart Search clusters from single-tenant to secure multi-tenant Kubernetes model serving, improving availability to 99.9% and reducing inference latency by 25%. Designed multi-tier inference routing across multi-tenant, multi-locale environments supporting hundreds of millions of daily queries. Engineered query normalization and tokenization adopted across Search teams, and established architecture governance and distributed systems training programs.
Engineered a Financial Risk Reporting platform on GCP processing 10M+ daily transactions for fraud detection and chargeback analytics. Orchestrated a Databricks analytics platform (30% efficiency gain), migrated core workflows from RDBMS to DynamoDB (30% cost reduction), and led ORM-based data-layer modernization that cut the feature-to-production lifecycle by 50%.
Designed the Azure Right-to-Provision service automating subscription creation and budget management for 5,000+ engineers. Built a TypeScript RBAC system with automated cloud billing, led end-to-end delivery of the Cloud Portal 2.0 developer experience platform, and built a Java/Kafka observability system reducing mean time to detection for incidents.
Led monitoring and alerting across 50+ data centers and 10,000 servers with Icinga, Grafana, and PagerDuty, maintaining 99.99% uptime for IBM Cloud. Built a 500 TB/day logging pipeline with Logstash, Kafka, Elasticsearch, and Kibana informing $3M+ in cost reductions. Led a cross-functional team of 10 engineers and served as SME for L1 escalations on a 15-minute SLA.
Overhauled the in-house Azure billing system in Java, delivering a 40% performance improvement and increased pipeline reliability. Implemented Cassandra data modeling and query optimization for a real-time analytics platform, achieving 50% faster data retrieval.
Delivered web-security projects for ANZ Bank using Java and the Spring Framework. Developed an Android OTP authentication app that reduced unauthorized access by 50%. Trained 5 interns in the Finacle e-Banking Framework and RESTful API design; all five shipped features to production.