Meduru Bharath

Software Engineer with experience building and scaling distributed backend systems using Java, Spring Boot, and microservices architecture on Microsoft Azure. Skilled in designing secure REST and gRPC APIs, implementing event-driven architectures with Kafka and Azure Service Bus, and deploying containerized applications using Azure Kubernetes Service. Experienced in CI CD automation, infrastructure as code, and observability using Azure Monitor, ELK Stack, and OpenTelemetry.

Strong background in building reliable, high-performance systems with a focus on security, resilience, and production stability.

Software Engineer at Apple (2025-08 – Present)

• Designed and built scalable Java microservices using Spring Boot and Spring Cloud, deploying services on Microsoft Azure using Azure Virtual Machines, Azure Kubernetes Service, and Virtual Network to support high availability distributed systems handling large scale internal traffic.
• Developed and secured REST and gRPC APIs using Spring Security, OAuth 2.1, Okta, and JWT, implementing API Management patterns, API versioning, and Swagger OpenAPI documentation to standardize secure service communication.
• Built resilient event driven architectures using Azure Service Bus and Azure Queue Storage integrated with Apache Kafka, enabling asynchronous communication and improving system fault tolerance and throughput for real time data processing.
• Automated CI/CD pipelines using Jenkins and GitHub Actions, integrating SonarQube and Fortify for code quality and security scanning, and managing infrastructure provisioning using Terraform and HashiCorp Vault for secrets management.
• Implemented observability and monitoring using Azure Monitor, Log Analytics Workspace, ELK Stack, OpenTelemetry, and Prometheus, building dashboards and alerts that reduced incident response time and improved system reliability.
• Integrated machine learning and GenAI capabilities into backend services using Large Language Models, Retrieval Augmented Generation, and model inference pipelines, enabling intelligent log analysis, anomaly detection, and automated insights using tools such as Claude, Cursor, and GitHub Copilot.
• Enhanced system performance and reliability by implementing caching using Redis, optimizing database interactions with Azure SQL Database and PostgreSQL, and improving service resilience using Resilience4j, achieving measurable reductions in latency and production incidents.

Software Engineer at Bank Of America (2020-01 – 2023-07)

• Developed enterprise grade backend systems for financial platforms using Java, Spring Boot, and Hibernate, designing REST APIs with API versioning and Swagger OpenAPI to support trade lifecycle management and regulatory reporting.
• Built and deployed microservices on Microsoft Azure using Azure Virtual Machines, Azure Blob Storage, and Azure SQL Database, implementing secure networking with managed identities and Virtual Network configurations to ensure compliance and data protection standards.
• Designed event driven systems using Apache Kafka and Azure Service Bus, enabling real time trade processing, settlement workflows, and high throughput messaging across distributed financial systems.
• Strengthened application security by implementing OAuth 2.1, role based access control, TLS encryption, and audit logging, aligning with PCI DSS standards and enterprise security requirements.
• Improved observability and monitoring using ELK Stack, Splunk, Azure Monitor, and Log Analytics Workspace, enabling proactive issue detection, log analysis, and performance optimization across critical services.
• Increased code quality and reliability by implementing end to end testing, Cucumber based testing frameworks, TestContainers for integration testing, and CI/CD pipelines with Jenkins, reducing defects and improving release stability.

Master of Science in Computer Science – Texas State University

Bachelor of Engineering in Computer Science – Saveetha Engineering College