Senior Software Engineer Cloud-Native backend Systems

Srikanth Reddy Bhumpalli

• ********.*@**************.*** • +1-816-***-**** • LinkedIn

SUMMARY

Software Engineer with 8+ years of experience specializing in cloud-native distributed systems, high-volume financial platforms, and enterprise SaaS modernization. Expert in Java, Spring Boot, Kubernetes, AWS, Oracle Cloud, and event-driven architectures with Apache Kafka. Skilled in designing scalable, resilient microservices, modern API ecosystems, and AI-powered knowledge solutions, with a focus on performance engineering, security, and infrastructure automation. Hands-on technical leader driving cloud transformation, system optimization, and long-term enterprise scalability. SKILLS

Programming & Frameworks: Java (11/17), J2EE (Servlets, JSP, JDBC, EJB, JSF), Spring Boot, Spring MVC, Spring Security, Spring Batch, Hibernate, JPA, Python, Shell Scripting, Express.js, FastAPI, RESTful & SOAP APIs, Microservices Frontend & Web: JavaScript, TypeScript, React.js, Angular 12, Next.js, Node.js, HTML5, CSS3, Bootstrap, jQuery, Responsive Web Design, AJAX, JSON, XML

Cloud & DevOps: AWS (EC2, S3, Lambda, RDS, ECS, API Gateway), Oracle Cloud, GCP (GKE, BigQuery), Docker, Kubernetes, Terraform, Jenkins, Maven, Gradle, CI/CD Pipelines, Infrastructure as Code (IaC) Databases & Data Management: Oracle, MySQL, PostgreSQL, SQL Server, MongoDB, DynamoDB, ElasticSearch, CosmosDB, Redis, Memcached, PL/SQL, SQL Optimization, Data Modeling, Caching, Indexing, Sharding Streaming & Messaging: Apache Kafka, IBM MQ, Event-Driven Architecture, Real-Time Pipelines Security & API Management: OAuth2, JWT, Role-Based Access Control (RBAC), API Gateway, Swagger/OpenAPI, Keycloak Testing & Performance: JUnit, Mockito, Cypress, Selenium, LoadRunner, JMeter, Performance Tuning, Test-Driven Development (TDD), SonarQube Monitoring & Observability: Grafana, Prometheus, OpenTelemetry, Splunk, Dashboarding & Metrics Analysis Agile & Collaboration: Scrum/Kanban, JIRA, Confluence, Code Reviews, Cross-Functional Teamwork PROFESSIONALEXPERIENCE

Oracle July 2024 – Present Nashville, TN

Software Development Engineer 3

Architected a multi-region, high-throughput distributed platform on Oracle Cloud Infrastructure, enabling elastic scaling across 3+ regions and improving system availability to 99.99% while handling millions of concurrent enterprise transactions.

Led the modernization of a large-scale SaaS module within Oracle Fusion Cloud ERP, decomposing tightly coupled components into independently deployable services, reducing release cycles from monthly to bi-weekly and cutting defects by 27%.

Designed and implemented an event-driven data processing backbone using streaming architecture patterns, optimizing inter-service communication latency by 35% and improving throughput under peak workloads.

Engineered high-concurrency backend services in Java, implementing advanced caching and asynchronous processing strategies that improved response stability and reduced peak-time delays by 34%.

Spearheaded performance engineering initiatives for mission-critical workloads integrated with Oracle Autonomous Database, introducing advanced query optimization and concurrency handling techniques that increased sustained capacity by 30%.

Automated cloud infrastructure provisioning and environment standardization using Terraform, reducing manual configuration errors by 60% and accelerating multi-region SaaS deployment cycles by 50%, while ensuring consistent compliance and high availability.

Executed AI-powered knowledge retrieval services leveraging transformer-based models from Hugging Face, enabling contextual enterprise search capabilities and reducing manual support dependency by 22% across internal teams.

Implemented end-to-end observability using Grafana, designing real-time dashboards for latency, throughput, and error-rate monitoring across services, enabling proactive anomaly detection and reducing incident response time during peak workloads. M PNC Financial Jan 2023 – Jun 2024 St. Louis, Missouri Senior Software Development Engineer

Re-architected high-volume treasury payment and reconciliation services using Java 17, processing 97M+ annual API calls and improving transaction throughput by 38% through optimized concurrency handling and memory profiling.

Built scalable REST endpoints using Spring Boot 3, standardizing API contracts across 25+ corporate client integrations and reducing partner onboarding time from 6 weeks to 3 weeks.

Developed an internal treasury assistant using Generative AI with Retrieval-Augmented Generation (RAG), enabling natural-language query support for 8M+ transaction records and reducing client support resolution time by 34%.

Orchestrated containerized treasury API workloads on Kubernetes, implementing horizontal pod autoscaling and rolling deployment strategies to handle 3.5x peak transaction spikes while maintaining 99.98% service availability across multi-tenant corporate integrations.

Structured secure, scalable backend infrastructure on AWS, leveraging API Gateway, EC2 Auto Scaling, and RDS Multi-AZ deployments to support 97M+ annual payment transactions while reducing infrastructure latency by 26% and improving disaster recovery readiness.

Devised real-time payment event streaming pipelines using Apache Kafka, enabling asynchronous reconciliation triggers across 18 downstream systems and reducing settlement notification latency from 4 minutes to under 20 seconds.

Managed end-to-end system design for a fault-tolerant treasury API platform, defining service boundaries, implementing circuit breaker and bulkhead isolation patterns, and achieving 99.95% SLA compliance under high-volume concurrent transaction loads. JP Morgan Chase & Co. Feb 2018– Jun 2021 Hyderabad, India Software Developer Engineer

Programmed large-scale backend services using Java 11 and Spring Boot, improving transaction throughput by 30% through JVM garbage collection tuning and thread pool optimization.

Configured centralized identity federation using OpenID Connect (OIDC) and Keycloak, strengthening multi-factor authentication workflows and reducing access-related incidents by 28%.

Constructed asynchronous transaction workflows using IBM MQ, enabling reliable, high-throughput inter-system messaging and reducing settlement processing delays by 35% across core banking operations.

Optimized high-volume financial databases in Oracle 12c using execution plan analysis and PL/SQL refactoring, improving query performance by 33% across core banking modules.

Established automated regression frameworks using JUnit 5 and Mockito, achieving 85%+ code coverage and significantly reducing release-cycle defect leakage across critical production systems.

Embedded payment and settlement systems via SOAP Web Services and ISO 8583 message standards, ensuring strict ACID compliance for high-value, mission-critical banking transactions processing.

Operationalized in-memory caching using Ehcache within Spring Boot services, reducing repetitive database calls for account summary APIs and improving response time by 25% under peak transaction loads.

Designed and deployed secure backend workloads on AWS EC2 and RDS, implementing VPC network segmentation and IAM role-based access controls, improving infrastructure scalability and reducing environment provisioning time by 40%. Accenture Apr 2015 –Nov 2017 Hyderabad, India

Software Engineer

Engineered and deployed 15+ high-performance microservices using C++ for order management and CRM integration on AWS, implementing REST APIs with OAuth2/JWT security and reducing order latency by 32% while supporting 1.2M+ subscribers.

Modernized a legacy monolith into containerized services using Docker and Kubernetes (EKS), achieving 99.9% uptime and stable horizontal auto- scaling during 3x traffic spikes.

Enhanced data access across relational and NoSQL databases through indexing and partition strategies, reducing API response time from 850ms to 280ms under 10K concurrent users.

Implemented CI/CD pipelines using Jenkins and GitHub Actions, incorporating automated testing and code quality checks, reducing production defects by 70% across microservices environments.

Integrated telecom billing systems with secure API gateway controls and AWS IAM-based access management, reducing reconciliation errors by 18% across distributed payment workflows.

Planned an event-driven architecture using Apache Kafka with C++ producers/consumers, enabling near real-time updates (<3 sec latency) and improving data consistency by 40%.

Improved observability using OpenTelemetry and Prometheus, reducing MTTR by 35% while maintaining strict SLA compliance standards across distributed cloud-native microservices architecture.

Formulated and implemented scalable distributed system architecture with load balancing, circuit breaker patterns, and retry mechanisms, ensuring high availability and fault tolerance during 5x peak traffic events. EDUCATION

Master of Science in Computer Science Dec 2022 Maryville, Missouri Northwest Missouri State University

Bachelor of Technology in Electronics and Communication Engineering May 2013 Andhra Pradesh, India V.S.R. & N.V.R. Engineering College

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