Hari Krishna Kodali
Hi, I'm Hari Krishna Kodali. I'm a senior Java engineer with more than 15 years of hands-on experience building backend systems, RESTful services, and scalable distributed platforms.
About
Hi, I’m Hari Krishna Kodali. I’m a senior Java engineer with more than 15 years of hands-on experience building backend systems, RESTful services, and scalable distributed platforms. I thrive on solving complex performance and production-stability challenges in high-traffic environments.
I’m focused on Spring Boot, microservices, Kafka-driven architectures, and cloud deployments. I enjoy mentoring teams, doing thoughtful code reviews, and delivering secure, scalable solutions that customers rely on daily.
- 17 years' experience
- Joined March 2026
Languages
- EnglishFluent
Industry experience
- Software & Internet
- Retail
- Financial Services
- Professional Services
Work experience· 6 roles
Designed and developed Spring Boot microservices supporting high-volume payment processing systems. Implemented OAuth 2.0–based API security, improving access control and regulatory compliance. Built real-time data pipelines using Kafka for event ingestion, enrichment and downstream processing. Ensured schema evolution and compatibility using JSON and schema registry. Containerized applications using Docker and deployed to Kubernetes for scalability and resilience. Automated CI/CD pipelines with Jenkins, reducing deployment risk and improving release consistency. Performed peer code reviews and provided technical mentoring to development teams.
Led Walmart Canada engagements, delivering microservices, data pipelines and cloud-native deployments. Maintained and enhanced Spring/J2EE applications, integrated with downstream analytics, and ensured reliability across distributed systems. Drove performance improvements for high-volume retail platforms and supported multi-region deployments on Google Cloud and Kubernetes.
Built and maintained microservices using Spring Boot for retail and payments platforms. Developed integrations with Elasticsearch to enable real-time monitoring dashboards. Scaled Kafka pipelines to handle millions of events per day with consistent performance. Integrated Kafka with microservices, REST API’s and downstream systems (analytics). Supported cloud-native deployments on GCP and Kubernetes. Diagnosed and resolved complex production issues across distributed systems. Automated operational notifications via Slack and Microsoft Teams integrations.
Education
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