Backend & Cloud Software Engineer (Java/AWS/K8s)

Sridhar Vaggu

Tallahassee, FL, USA **************@*****.*** 850-***-**** linkedin.com/in/sridhar-vaggu/ Summary

Software Engineer with 5+ years of experience building and maintaining backend microservices, full-stack web applications, and cloud infrastructure across consumer-scale and enterprise platforms. Skilled in Java Spring Boot, Node.js, React.js, AWS, Kubernetes, and AI/ML integrations including LangChain and OpenAI API. Background spans a high-traffic consumer mobility platform, university IT infrastructure, and enterprise compliance tooling. Experienced in distributed systems design, event-driven architecture, RESTful API development, and CI/CD pipeline automation across multi-cloud environments. Experience

Software Engineer Oct 2025 – Present

Uber USA

• Maintain and extend Java Spring Boot backend services within Uber’s trip and driver operations platform, con- tributing reliability improvements to systems processing millions of weekly trips on AWS EKS.

• Built an internal React.js operations dashboard for driver compliance review using WebSocket subscriptions and Redis caching, eliminating redundant server round-trips on a team serving hundreds of daily operator sessions.

• Extended Node.js and Express.js notification microservices handling push event delivery on trip-state transitions, adding dead-letter queue handling message reliability across 4 high-traffic downstream consumer services.

• Contributed to Apache Kafka consumer pipelines processing trip lifecycle and fare calculation events, adding consumer-lag alerting that helped the team catch processing delays within 3 minutes of occurrence.

• Tuned PostgreSQL queries and HikariCP connection pool settings on high-read trip history endpoints by analyzing slow-query logs, reducing average query execution time across the 3 most-accessed read paths.

• Containerized a new service using Docker and deployed it to Kubernetes, integrating the rollout into the team’s GitHub Actions CI/CD pipeline with environment-gated promotion across 3 deployment stages.

• Provisioned AWS infrastructure using reusable Terraform modules, standardizing environment setup across development and staging and cutting new environment spin-up time from several hours to under 30 minutes.

• Prototyped an internal support tool using the OpenAI API to surface relevant trip and account context for agent queries, reducing average manual lookup steps from 5 to 2. System Admin / Software Engineer May 2024 – Sept 2025 Florida State University USA

• Administered Linux and Windows Server infrastructure student and staff accounts, handling server hardening, patch management, and enterprise IAM configurations across 5 academic departments.

• Scripted PowerShell and Bash routines to automate Active Directory identity provisioning and deprovisioning, reducing manual processing time for onboarding and offboarding cycles by an average of 6 hours weekly.

• Maintained campus administrative web utilities using PHP and Vue.js, supporting registrar and student services work- flows that handled scheduling and record updates for over 1000 course enrollment requests per semester.

• Built REST API integration pipelines synchronizing ServiceNow incident records with the campus ERP system, keeping helpdesk and operations data consistent and eliminating duplicate ticket entries across 3 integrated platforms.

• Configured centralized logging, automated backup jobs, and server resource monitoring dashboards, maintaining uptime for 5 academic departments and reducing incident response time through proactive alerting pipelines.

• Executed database migration and validation routines for student and faculty records using custom SQL scripts, veri- fying referential integrity at each phase and completing 3 migration cycles without data loss.

• Developed Python scripts to classify incoming IT support tickets by category, routing submissions to the appropriate helpdesk queue and processing an average of 800 weekly tickets without manual review. Full Stack Developer Jun 2019 – Jul 2022

KPMG India

• Contributed to 4 enterprise compliance web applications built on Java Spring Boot and Angular, supporting daily audit and reporting workflows for financial consultants across multiple client engagements.

• Developed interactive frontend reporting dashboards backed by Oracle SQL queries, optimizing complex joins and aggregations against large financial datasets to meet sub-second response requirements during concurrent audit.

• Participated in a multi-quarter effort to decompose a legacy monolith into discrete Spring Boot microservices, taking ownership of several service boundaries and their REST API contracts throughout the migration.

• Designed RESTful APIs using Hibernate ORM and Spring Security to enforce role-based access control and data isolation across multiple client tenants, supporting secure multi-tenant operations without data integrity defects.

• Refactored over 30 high-volume SQL queries by analyzing execution plans and adding targeted indexes, improving report generation performance during concurrent audit cycles and reducing load on the production database.

• Set up centralized log aggregation and runtime metrics using Logback and Grafana, giving the team visibility into service health across all microservices and shortening mean time to incident detection.

• Wrote unit and integration tests using JUnit, Mockito, and Maven, building coverage for critical service paths and helping the team catch regressions before each of 12 quarterly production releases. Technical Skills

Programming Languages: Java, Python, JavaScript, TypeScript, PHP, C++, C#, Go (Golang), Kotlin, Scala, Rust, Ruby, SQL, Bash/Shell, HTML5, CSS3, YAML, JSON

Software Engineering & Backend: Spring Boot, Node.js, Express.js, FastAPI, Django, Flask, Microservices Architecture, RESTful APIs, Hibernate/JPA, Apache Kafka, RabbitMQ, GraphQL, gRPC, Protocol Buffers (Protobuf), OAuth 2.0, JWT, OpenAPI/Swagger, Distributed Systems, Object-Oriented Design (OOD), Event-Driven Architecture Full Stack & Frontend: React.js, Angular, Vue.js, Svelte, Redux, Next.js, WebSockets, Material UI (MUI), Tailwind CSS, Bootstrap, Sass/SCSS, Axios, Vite, Webpack, Jest, Cypress, Storybook, Single-Page Applications, Responsive Web Design AI / ML & GenAI: OpenAI API, Anthropic API, LangChain, LangGraph, LlamaIndex, Retrieval-Augmented Generation

(RAG), Hugging Face Transformers, Vector Databases (pgvector, Pinecone, ChromaDB, Weaviate, FAISS), Large Language Models (LLMs), Prompt Engineering, scikit-learn, PyTorch, Pandas, NumPy, Jupyter Notebooks System Admin, Cloud & DevOps: Linux Administration (RHEL/Ubuntu), Windows Server, Active Directory, Power- Shell, ServiceNow Integration, AWS (EC2, EKS, S3, Lambda, DynamoDB, CloudWatch, IAM, CDK), Azure (AKS, Func- tions, Blob Storage), GCP (GKE, BigQuery, Cloud Run, Pub/Sub), Docker, Kubernetes (K8s), Helm, Argo CD, Terraform, Ansible, HashiCorp Vault, Jenkins, GitHub Actions, CI/CD Databases, Observability & Tools: PostgreSQL, MySQL, Oracle SQL, Redis, MongoDB, Cassandra, ClickHouse, Elastic- search, HikariCP, Flyway, Liquibase, Logback, Grafana, Prometheus, Datadog, ELK Stack (Elasticsearch, Logstash, Kibana), New Relic, Sentry, k6, Git, Maven, JUnit, Mockito, Postman, SonarQube, Confluence, Jira, Agile/Scrum Projects

Distributed Event-Driven Analytics Engine Node.js, Express.js, React.js, Apache Kafka, PostgreSQL Full Stack System

• Spearheaded a distributed real-time analytics backend using Node.js and Express.js to process high-throughput user activity event streams ingested through 3 Apache Kafka message brokers.

• Produced a React.js monitoring dashboard featuring interactive charts and custom metric filters to visualize over 50,000 incoming telemetry events per minute.

• Structured PostgreSQL database tables with targeted indexing and connection pooling, keeping write request latencies below 45 ms under peak workload tests.

AI Enterprise Knowledge Platform Python, LangChain, Vue.js, Pinecone, AWS Lambda AI & Cloud Architecture

• Pioneered an AI-driven document search application using Python and LangChain, enabling semantic context retrieval across 500+ internal technical documentation files.

• Connected vector embeddings stored in Pinecone to query over 150,000 document chunks, returning relevant contextual answers with direct citations within 2 seconds.

• Provisioned 10+ serverless backend functions on AWS Lambda paired with a responsive Vue.js frontend UI for secure, frictionless knowledge discovery.

Education

Florida State University May 2024

Master of Science in Computer Science USA

Jawaharlal Nehru Technological University Jul 2021 Bachelor of Technology in Computer Science & Engineering India

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