Senior Full-Stack Software Engineer (6+ yrs)

Sri Anudeep Velicheti

Dallas, Tx +1-210-***-**** *************@*****.***

Professional Summary:

Full Stack Software Engineer with ~6 years of experience building high-throughput, distributed systems across payments, fraud prevention, telecom, and e-commerce platforms. Strong background in designing and implementing Java/Spring Boot microservices, reactive and event-driven architectures, and stateful workflow systems that operate at scale. Hands-on experience integrating REST, GraphQL, and SOAP APIs to bridge modern platforms with legacy payment and enterprise systems. Proven expertise in Apache Kafka–based streaming pipelines, asynchronous processing, and idempotent service design for real-time transaction workflows. Experienced in developing data-intensive frontend applications using React, with a focus on lifecycle modeling, permissions, and consistency across asynchronous backends. Proficient with AWS and Azure, containerized deployments using Docker and Kubernetes, and CI/CD automation. Strong emphasis on observability, reliability, and production readiness, with deep experience using ELK and CloudWatch to operate business-critical systems in production.

Technical Skills:

Languages: Java (Core & J2EE), Go, Python, JavaScript (ES6+), SQL, HTML, CSS

●Frameworks & Libraries: Spring Boot, Spring MVC, Hibernate, JPA, React.js, Node.js, Angular, REST, gRPC, Kafka Streams, Mockito, JUnit

●Architecture & Methodologies: Microservices, Event-Driven Architecture, Object-Oriented Design, Design Patterns (Factory, Singleton, DAO, MVC), Agile/Scrum, TDD

●Cloud Platforms: AWS (ECS, EKS, Lambda, CodePipeline, CloudWatch, DynamoDB, Redshift), Azure (VMs, Event hubs, OneOps), Concord CI/CD

●Databases & Storage: PostgreSQL, MySQL, Oracle, MongoDB, DynamoDB, Redis

●Big Data & Processing: Apache Kafka, Apache Spark, Airflow, EMR, Hive, Redshift, Athena

●DevOps & Tools: Docker, Kubernetes, Git, GitHub Actions, Jenkins, JIRA, ELK Stack, Kibana, Concord, Looper

●Testing & Observability: JUnit, Mockito, Mocha, Chai, JMeter, MockMVC, ELK, CloudWatch

●Operating Systems: Linux, Unix, Windows

EDUCATION:

●Masters of Science— Computer Software Engineering from SAN JOSE STATE UNIVERSITY - 2025

●Bachelor of Technology — Information Technology from JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY - 2020

Professional Experience:

Client: Signifyd San Jose, CA Oct 2024 – Present

Full Stack Developer

Description: Signifyd Chargeback Recovery, an End-to-end chargeback management platform that automates investigation and dispute of fraud and non-fraud chargebacks for ecommerce merchants.

Responsibilities:

●Designed and implemented microservices(Java 17, Spring Boot, Spring Webflux) for chargeback ingestion, case orchestration, and dispute submission, supporting high-volume ecommerce and payment traffic.

●Built API layers using REST and GraphQL, while integrating with SOAP-based payment network and acquirer systems, normalizing heterogeneous schemas into a consistent domain model consumed by frontend apps.

●Implemented state-driven chargeback lifecycle engines with explicit transition rules, idempotency handling, and failure recovery logic to ensure correctness across asynchronous workflows.

●Integrated Apache Kafka for event-driven ingestion of order, fulfillment, and chargeback events, enabling decoupled processing and scalable dispute workflows.

●Developed backend decision orchestration services that consumed ML risk signal and policy rules to determine dispute eligibility and generate structured evidence payloads.

●Built React applications using functional components and Hooks with a component-driven architecture, enabling scalable, reusable UI modules for complex, data-intensive workflows.

●Integrated REST and GraphQL APIs with robust client-side handling for pagination, caching, retries, and error states, optimizing frontend performance and reliability under high-volume data access.

●Managed server-state using React Query, leveraging caching, background refetching, and request deduplication to reduce API load and keep UI state consistent with asynchronous backend updates.

●Implemented role-aware UI behavior by enforcing permissions returned from backend APIs, ensuring only authorized users could override decisions, annotate cases, or resubmit disputes.

●Instrumented backend services with structured logs and metrics, integrating with ELK to monitor dispute throughput, API error rates, and third-party integration latency

●Containerized services using Docker and deployed to AWS, supporting scalable rollouts of both backend services and frontend applications.

Environment: Java, Spring Boot, REST, GraphQL, SOAP, Kafka, Hibernate/JPA, React, JavaScript (ES6), GraphQL, PostgreSQL, AWS, Docker, CI/CD, ELK Stack (Elasticsearch, Logstash, Kibana)

Valuelabs Inc, India July 2021- Jun 2023

Senior Software Engineer

Description: Polarin Network-as-a-Service (NaaS) Platform, an enterprise network orchestration system for real-time provisioning, telemetry, and analytics used by telecom and enterprise partners.

Responsibilities:

●Collaborated with stakeholders to build and scale Polarin, contributing to $10M+ in annual revenue using Python, Java, Kafka, and AWS EKS

●Designed and implemented reactive microservices using Java and Spring WebFlux to process high-volume, real-time network telemetry and provisioning events (millions of events/day), achieving sub-100ms response times

●Designed and implemented telemetry pipelines handling 5B+ sensor events/month, streaming data from Kafka into DynamoDB and PostgreSQL, improving analytics latency by 45%.

●Built a Go-based network discovery service deployed on Nokia servers for port availability detection and order orchestration.

●Deployed and managed Spring Boot and Python microservices on AWS EKS, ensuring sub-200 ms response times across 300+ live network lines.

●Implemented end-to-end observability (ELK + CloudWatch) reducing incident triage time by 35% and sustaining 99.99% SLA uptime.

●Created CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy, achieving zero-downtime blue/green deployments and 60% faster releases.

●Mentored 5+ interns and led cross-team sprint reviews, improving collaboration and delivery predictability.

Environment: Java 8, Java 17, Eclipse, JIRA, Agile, Scrum, Object Oriented programming, SQL, Design Patterns, OAuth 2.0, REST API, Soap Web Service, Go, Python, Spring Boot, AWS EKS, Kafka, DynamoDB, PostgreSQL, CloudWatch, ELK, CodePipeline

ValueLabs Inc, India Oct 2019 – June 2021

Software Engineer

Description: Maxis Telecom Direct Carrier Billing (DCB) Migration modernization of the billing infrastructure from monolithic on-premise systems to a cloud-native microservices architecture on AWS.

Responsibilities:

●Contributed to developing enterprise-grade software using Java and SQL, focusing on enhancing functionality and performance.

●Led migration of monolithic DCB system to AWS ECS-based microservices, increasing throughput and scalability for 1M+ daily users.

●Built multi-threaded JMS consumers to handle concurrent billing operations, boosting transaction throughput by 50% during peak loads.

●Developed ETL pipelines using Apache Airflow and Spark on AWS EMR to process 1 TB+ of logs daily into Parquet, improving analytics via Athena and Redshift.

●Created and maintained CI/CD pipelines using Docker and GitHub Actions, increasing scalability by 40%.

●Coordinated emergency hotfixes with QA and DevOps teams to maintain 99.9% SLA uptime and minimize downtime during production incidents.

Environment: Core Java 8, JIRA, Spring, Scrum, SQL, Design Patterns, Object Oriented programming, Java Script, Soap Web service, XML, Java Script, AWS ECS, Apache Airflow, Spark, Hive, Docker, GitHub Actions, Redshift, Athena

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