Senior Solutions Architect - 14+ Years in Cloud-Native Systems

HEMASEKHAR TIRUMALASETTY

Principal Software Engineer Solutions Architect 14+ Years Experience

Atlanta, GA ***********************@*****.*** +1-470-***-****

linkedin.com/in/hemasekhar-tirumalasetty-19504b53

PROFESSIONAL SUMMARY

Distinguished Lead Software Engineer and Solutions Architect with 14+ years of expertise in designing and delivering enterprise-grade, cloud-native solutions across GCP, AWS, and Azure ecosystems. Proven track record in architecting highly scalable microservices, modernizing legacy systems, and leading cross-functional teams to deliver mission-critical applications. Deep technical proficiency in Java, Spring Boot, Kubernetes, and event-driven architectures with demonstrated success in implementing AI-powered solutions, API monetization strategies, and performance optimization initiatives.

TECHNICAL EXPERTISE

Programming & Frameworks: Java (8/11/17/21) • Spring Boot • Spring Cloud • Spring Security • Spring WebFlux • Hibernate • JPA • Reactive Programming • FastAPI, • GraphQL • gRPC, SOAP • Python

Cloud & Infrastructure: Google Cloud Platform (GKE, Cloud Run, Cloud Functions, App Engine, BigQuery, Pub/Sub, Cloud Build, Dataflow • DataProc • Azure • Pivotal Cloud Foundry • Kubernetes • Docker • AWS Lambda • EC2 • S3 • DynamoDB • RDS • ECS • EKS • CloudFormation • API Gateway • IAM

Microservices & APIs: REST • GraphQL • gRPC • SOAP • API Gateway (Apigee) • Service Mesh • Circuit Breaker • Rate Limiting

Messaging & Streaming: Apache Kafka • Google Pub/Sub • Apache Beam • Event Sourcing • Stream Processing

Databases: PostgreSQL • MongoDB • MySQL • Oracle • Redis • NoSQL Design

Security & Auth: OAuth2 • JWT • SSO • Spring Security • Key Vault • RBAC • PCI-DSS Compliance

DevOps & CI/CD: Jenkins • GitHub Actions • SonarQube • Infrastructure as Code • GitOps • Automated Deployments

Monitoring & Performance: Grafana • Prometheus • AppDynamics • Splunk • ELK Stack • P99 Latency Optimization • Caching Strategies • Model Monitoring

AI/ML Integration: VertexAI • Gemini 1.5 Pro • RAG Architecture • LangChain • LangGraph • CohereReRank • PineconeHybridsearch/retriever • DialogFlow • Vector Search • MCP Servers • Agentic AI

Frontend: ReactJS • Redux • Micro Frontends • Module Federation • React Native • HTML5/CSS3/JavaScript

Testing: JUnit • Mockito • RestAssured • Robot Framework • Selenium • TDD • API Load Testing

Architecture Patterns: SAGA • CQRS • Event Sourcing • Domain-Driven Design (DDD) • Strangler Fig • Hexagonal Architecture

PROFESSIONAL EXPERIENCE

Technical Lead Engineer

Macy's Technology (Ocher Technology)

Atlanta, GA

April 2025-Present

Project: Customer Contact Center Experience Modernization

Leading the architectural transformation of Macy's customer contact center ecosystem, delivering cloud-native solutions empowering service agents to resolve complex customer inquiries spanning order management, shipment tracking, price adjustments, and return processing across omnichannel platforms.

Key Responsibilities & Contributions:

Architected enterprise-scale cloud-native microservices ecosystem on GCP utilizing GKE for container orchestration, Cloud Run for serverless event processing, and BigQuery for real-time analytics, establishing foundation for scalable customer service operations.

Pioneered micro frontend architecture leveraging React 18, Redux Toolkit, and Module Federation patterns, enabling autonomous team velocity through domain-driven UI composition while maintaining consistent customer experience across contact center applications.

Engineered high-performance API layer using Java 21 with Spring Boot 3.x and Spring WebFlux, implementing reactive programming paradigms to handle concurrent agent sessions with sub-second response requirements during peak customer interaction periods.

Integrated Vertex AI-powered conversational intelligence using Gemini 1.5 Pro and Dialogflow, implementing retrieval-augmented generation (RAG) and dynamic webhook integrations to provide agents with contextually grounded response suggestions and automated case resolution.

Established comprehensive event-driven architecture using Apache Kafka and Google Pub/Sub for asynchronous inter-service communication, ensuring eventual consistency and loose coupling across distributed contact center microservices.

Implemented enterprise-grade security framework incorporating OAuth2, JWT-based session management, and SSO integration with corporate identity providers, ensuring PCI-DSS and SOC2 compliance for payment and customer data handling.

Designed centralized API Gateway layer using Apigee for unified traffic management, implementing sophisticated rate limiting, request throttling, circuit breaker patterns, and API versioning strategies to protect backend services from cascading failures.

Architected eventdriven serverless workflows using AWS Lambda, integrating with GCP Pub/Sub and Kafka to process customer interaction events, notifications, and asynchronous business workflows with minimal operational overhead.

Integrated AWShosted services with Apigee API Gateway, enabling unified traffic management, throttling, and observability for APIs served across AWS and GCP environments.

Defined multicloud CI/CD pipelines deploying workloads to AWS (Lambda, EC2) and GCP (Cloud Run, GKE), incorporating automated security scanning, quality gates, and bluegreen deployment strategies.

Efficient use of Development security operations like Dynatrace, SonarQube, Synk, Fortify scans, Grafana Observabilities and Development assistants like Google Gemini Code assist and Github Copilot, Google Antigravity+ Claude code.

Established end-to-end observability using Grafana dashboards for business metrics, AppDynamics for application performance monitoring, and Splunk for centralized log aggregation, enabling proactive incident detection and rapid root cause analysis.

Designed and implemented a MongoDBbased Product Catalog to serve as a highperformance, schemaflexible data store for managing SKU, product hierarchy, attributes, pricing metadata, and vendorspecific extensions across enterprise retail systems.

Collaborated with product management and UX teams to translate complex business requirements into scalable technical solutions, ensuring alignment with strategic roadmap while maintaining focus on customer experience and operational efficiency.

Technologies: Java 21, Spring Boot 3.x, Spring WebFlux, Spring Data JPA, ReactJS, Redux, Micro Frontends, GCP (GKE, Cloud Run, BigQuery, Pub/Sub, Cloud Build), Kafka, PostgreSQL, MongoDB, Redis, VertexAI, Gemini 1.5 Pro, DialogFlow, Apigee, Kubernetes, Grafana, AppDynamics, Splunk, GitHub Actions, Github Copilot

Lead/Architect Software Engineer

The Home Depot

Atlanta, GA

April 2022 – March 2025

Project: Supply Chain IPR & DFC Integration Platform

Led enterprise-scale supply chain integration platform orchestrating end-to-end retail operations between upstream purchase order systems and Manhattan WMS, managing customer orders, vendor inventory fulfillments, SKU updates, and shipment tracking across nationwide distribution network. Pioneered GenAI-powered automation capabilities for physical inventory validation and product catalog accuracy.

Key Responsibilities & Contributions:

Pioneered a Python-based GenAI automation framework orchestrated via LangChain and exposed through high-performance FastAPI endpoints. Integrated Retrieval-Augmented Generation with contextual chunking to ground AI assistants in product catalogs, streamlining physical inventory validation.

Engineered an enterprise-grade RAG retriever utilizing the PineconeHybridSearchRetriever and CohereRerank for post-retrieval reordering to optimize LLM context delivery. Enhanced vector search precision through a comprehensive metadata enrichment framework, enabling granular filtering and highly accurate hybrid search spanning.

Architected enterprise-grade integration platform leveraging Apache Kafka and Google Pub/Sub as event backbone, orchestrating fault-tolerant, high-throughput message streaming between upstream purchase order systems, core merchandising platforms, and Manhattan WMS for real-time inventory synchronization.

Designed scalable microservices architecture on GCP utilizing GKE for container orchestration, Cloud Run for serverless compute, and BigQuery for analytical processing, supporting millions of daily supply chain transactions across distribution centers.

Engineered sophisticated data pipelines using Apache Beam enabling unified batch and streaming processing patterns for inventory forecasting, financial reporting, and real-time analytics with sub-minute latency requirements.

Implemented comprehensive event-driven architecture patterns including CQRS for read/write optimization, Domain-Driven Design for bounded contexts, and Circuit Breaker for resilience, ensuring system reliability across complex supply chain workflows.

Developed React Native mobile applications for distribution center operations, enabling warehouse associates to perform real-time inventory management, order fulfillment tracking, and exception handling on handheld devices with offline-first capabilities.

Established enterprise-grade observability stack integrating Google Cloud Logging, Grafana performance dashboards, and SLO tracking mechanisms, enabling proactive bottleneck identification and maintaining reliability above target thresholds.

Orchestrated multi-environment CI/CD pipelines using GitHub Actions and Jenkins with automated quality gates, security scanning, progressive deployment strategies, and automated rollback capabilities enabling daily production releases with zero downtime.

Implemented comprehensive security architecture incorporating OAuth2 authentication, enterprise SSO integration, and GCP IAM policies, ensuring secure data transmission and granular access control across distributed microservices ecosystem.

Built automated end-to-end testing framework using Robot Framework with GitHub Actions integration, achieving comprehensive test coverage across critical supply chain workflows and reducing regression testing cycle time significantly.

Developed high-volume batch processing capabilities using Java Batch for SKU updates, inventory reconciliation, and daily financial snapshot generation, optimizing chunk-based processing patterns for efficient resource utilization.

Integrated real-time data synchronization with Manhattan WMS using SAGA pattern for distributed transaction management, ensuring consistency across vendor orders, customer orders, and inventory transfers while maintaining system decoupling.

Collaborated with finance teams to deliver real-time physical inventory snapshot APIs with transactional consistency guarantees, supporting accurate financial reporting and regulatory audit compliance requirements.

Technologies: Java, Spring Boot, Spring Data JPA, Java Batch, NodeJS, Python, GenAI, RAG Architecture, Embedded Vector Search, MCP Servers, Agentic AI, Manhattan WMS, GCP (GKE, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Build), Apache Kafka, Apache Beam, React Native, Grafana, GitHub Actions, Jenkins, Robot Framework, Python, NodeJS, LangChain, FastAPIs.

Technical Manager & Lead Software Engineer

Ford Motor Company (STG)

Detroit, MI

May 2019 – April2022

Project: FordPass Subscriptions Platform

Architected enterprise subscription management platform powering FordPass application across global markets, orchestrating end-to-end billing operations, subscription lifecycle management, and payment processing for retail and fleet business segments. Integrated Zuora workflows handling EV charge data records, invoicing, debit memos, and automated billing cycles with region-specific compliance.

Key Responsibilities & Contributions:

Architected comprehensive subscription management platform integrating Zuora REST APIs with microservices ecosystem to automate complex billing operations including invoicing, debit memo generation, payment retry logic, and subscription renewal workflows across tiered product offerings.

Designed and executed region-specific feature rollout strategy for EU markets, incorporating GDPR data privacy requirements, localized payment methods, and country-specific tax calculations while maintaining unified platform architecture across geographies.

Engineered high-performance API layer with sophisticated resiliency patterns including circuit breakers, bulkheads, and adaptive rate limiting, achieving substantial performance improvements and maintaining sub-second response times under peak transaction loads.

Established Infrastructure as Code practices using Terraform and CloudFormation for multi-region deployments across Pivotal Cloud Foundry and Azure, implementing automated environment provisioning, configuration management, and disaster recovery capabilities.

Implemented comprehensive PCI-DSS compliant security architecture incorporating payment tokenization, end-to-end encryption, and secure vault integration for sensitive payment data, ensuring compliance through automated monitoring and regular security audits.

Developed real-time product catalog synchronization mechanisms with Zuora billing platform, enabling dynamic pricing models, promotional campaign management, and flexible subscription plan configurations across retail and fleet business lines.

Built sophisticated CI/CD pipeline orchestration using Jenkins with multi-stage deployments, automated regression testing, performance benchmarking, and blue-green deployment strategies enabling rapid feature delivery with minimal risk.

Established enterprise-grade monitoring framework using Dynatrace and Grafana, implementing custom dashboards for business KPIs, API performance metrics, and proactive alerting for anomaly detection and capacity planning.

Managed complex EV charging data pipeline processing millions of charge session records, aggregating usage metrics, calculating billing amounts, and generating itemized invoices with detailed charge history for customer transparency.

Designed idempotent payment processing workflows with automatic retry mechanisms, dead letter queue handling, and financial reconciliation processes ensuring zero transaction loss and maintaining strict financial data integrity.

Led cross-functional technical teams through architecture reviews, technical debt prioritization sessions, and adoption of cloud-native design patterns, elevating engineering practices and reducing operational overhead across platform.

Implemented comprehensive caching strategies using Redis for session management, product catalog data, and frequently accessed customer profiles, significantly reducing database load and improving API responsiveness during peak usage.

Orchestrated seamless migration from legacy monolithic billing system to microservices architecture with zero customer impact, managing data migration strategies, dual-write patterns, and gradual traffic shifting with automated rollback capabilities.

Technologies: Java, Spring Boot, Spring Cloud, Zuora REST APIs, Pivotal Cloud Foundry, Azure, Jenkins, Dynatrace, Grafana, Redis, Terraform, CloudFormation, PCI-DSS Compliance, Circuit Breaker Patterns, OAuth2, Microservices Architecture

Senior Software Developer

The Home Depot (via Tata Consultancy Services)

Atlanta, GA (May 2015 - May 2019) Chennai, India (Jan 2012 - May 2015)

January 2012 – May 2019

Progressed through increasingly complex supply chain modernization initiatives over seven-year tenure, delivering mission-critical applications for distribution center operations, logistics optimization, and emergency response systems. Evolved from offshore development role to onshore technical leadership, architecting microservices solutions and establishing automation frameworks transforming operational efficiency.

Engineered Flow Schedule & Inventory Planning (EFS)

Architected centralized data repository serving as single source of truth for supply chain synchronization, consolidating SKU-level order locations, transportation logistics, timing parameters, and ordering metadata across entire distribution network.

Engineered cloud-native microservices architecture using Spring Boot deployed on Pivotal Cloud Foundry, implementing service discovery patterns, externalized configuration management, and fault-tolerant communication for high-availability operations.

Designed GraphQL API layer optimizing data retrieval patterns through selective field queries and query batching, eliminating over-fetching while reducing network payload and improving response times for time-sensitive supply chain decisions.

Developed responsive React-based user interfaces enabling supply chain analysts to visualize merchandise flow patterns, identify distribution bottlenecks, and make data-driven decisions for lead time reduction initiatives.

Logistics Operational Reporting Portal (LORP)

Developed comprehensive operational reporting platform enabling distribution center managers to monitor daily activities, optimize resource allocation, and track productivity metrics through real-time visibility into warehouse operations.

Implemented enterprise SSO integration with role-based access control ensuring secure authentication and authorization across multiple user personas including DC managers, associates, and corporate analysts.

Established observability framework integrating Grafana dashboards, AppDynamics APM, and SLO tracking to monitor application health, identify performance patterns, and maintain service reliability targets.

Supply Chain Automation & Testing Framework

Built comprehensive test automation framework using Behavior-Driven Development with HOMER framework, automating end-to-end validation of stock movements, transit operations, and ILPN flow scenarios.

Engineered Selenium-based cross-browser testing suite integrated with Jenkins CI/CD pipelines, generating HTML test execution reports and automatically synchronizing results with ALM for traceability.

Developed automated regression testing capabilities using RestAssured for API validation, ensuring backward compatibility and functional correctness across microservices deployments.

Emergency Visibility & Supply Chain Management

Architected mission-critical emergency response platform following Hurricane Sandy postmortem analysis, providing real-time visibility into expedited freight movements and ETA calculations for disaster-affected stores.

Designed RESTful API infrastructure with high-availability patterns supporting Store Support Center emergency mobilization efforts, enabling rapid decision-making for product expediting during crisis situations.

Implemented document generation capabilities using Apache POI and iText PDF for comprehensive shipment manifests and status reports distributed to store managers and emergency response teams.

Established real-time data synchronization ensuring accurate freight location tracking, estimated delivery times, and exception notifications critical for emergency supply chain coordination.

Technologies: Java, Spring Boot, Spring Data JPA, Java Batch, GraphQL, RESTful APIs, ReactJS, NodeJS, HTML5, Pivotal Cloud Foundry, Microservices, Selenium, RestAssured, Jenkins, HOMER Framework (BDD), Apache POI, iText PDF, SSO, Grafana, AppDynamics, ALM Integration

CERTIFICATIONS

Google Cloud Professional Cloud Architect Google Cloud March 2025

Retail Domain Management Certification

EDUCATION

Bachelor of Engineering (Electronics & Communication), 2007-2011

Andhra University CGPA: 7.98

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