Senior Software Engineer, Java/Kafka, Cloud-native Systems

Maitri Dodiya Software Engineer

**************@*****.*** +1-480-***-**** LinkedIn GitHub

SUMMARY

Results-driven Software Engineer with 4+ years of proven expertise designing, building, and deploying high-performance, scalable systems. Specialized in event-driven architectures, real-time data pipelines, and cloud-native infrastructure leveraging Java, C++, and Kubernetes. Demonstrated excellence optimizing mission-critical systems reducing latency by 87%, managing production reliability, and delivering measurable business impact. Strong foundation in AI/ML with track record of cross-functional leadership, DevOps innovation, and infrastructure automation. EXPERIENCE

Software Engineer, Fanatics 11/2023 – 10/2025 USA

•Redesigned core API processes using Java 21, Spring Boot, and PostgreSQL, achieving 87% reduction in data latency and significantly improving system responsiveness and performance across all services

•Contributed to high-throughput live odds ingestion system processing hundreds of thousands of updates per minute using Java, Kafka, PostgreSQL, Redis, and Kubernetes for Fanatics Sportsbook

•Engineered sophisticated Kafka state machine enabling operators to rewind and replay historical data with timestamp-based filtering, providing critical operational recovery capabilities and reducing incident resolution time

•Implemented comprehensive A/B testing and feature flagging framework using LaunchDarkly to control production releases, generate data-driven insights, and reduce outages by enabling safer go-live processes

•Migrated DataDog monitoring infrastructure to Terraform, improving management efficiency, enhancing reproducibility, reducing operational costs, and establishing infrastructure-as-code best practices

•Collaborated cross-functionally with traders and product teams to ensure system stability, provided detailed root cause analysis for production incidents, and managed on-call responsibilities with demonstrated reliability

Software Developer, Pro EPICS ASU 02/2023 – 12/2023 USA

•Developed AI-driven question-answering system utilizing multimodel ensemble approach combining BERT and RoBERTa architectures, achieving superior performance and accuracy through rigorous iterative testing and validation

•Leveraged Python (NumPy, Pandas, PyTorch) and advanced data visualization techniques to analyze model performance, improve accuracy metrics, systematically identify bias, and ensure fairness across all test scenarios

Java Developer, Infosys 09/2020 – 07/2021 India

•Developed and optimized comprehensive healthcare platform architecture, delivering 30% improvement in data processing performance and creating 20+ RESTful APIs ensuring seamless interoperability and system reliability

•Maintained 99.9% system uptime through rigorous load testing, redundancy implementation, proactive monitoring, and resilience engineering across production environments

•Strengthened platform security by implementing JWT and OAuth2 authentication frameworks, ensuring strict adherence to data protection compliance requirements and industry security standards

•Conducted comprehensive unit, integration, and functional testing using JUnit and Mockito frameworks, improving code quality metrics and reducing production bugs by 15% Software Engineer, Tribit Infotech 01/2020 – 06/2020 India

•Developed robust C++ applications optimized for performance and system reliability across multiple deployment environments

•Established version control practices using Git, facilitating team collaboration, code reviews, and streamlined development workflows

•Identified and resolved complex technical issues through systematic debugging and root cause analysis, ensuring software robustness and production readiness EDUCATION

Master of Science in Computer Science 08/2021 – 12/2022 Arizona State University, GPA: 3.67/4.0

Bachelor of Technology in Electrical Engineering 08/2017 – 04/2021 National Institute of Technology, Surat, GPA: 7.64/10.0 TECHNICAL SKILLS

Programming Languages: Java (Core, Streams, Concurrency, Generics), C++, Python Frameworks & Libraries: Spring Boot, Spring Cloud, Spring Security, Hibernate, PyTorch, Pillow, ImageHash, Playwright

Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, InfluxDB Messaging & Event Streaming: Apache Kafka, RabbitMQ, event-driven architecture patterns Cloud Platforms & Services: AWS EC2, AWS S3, AWS RDS, AWS Lambda, AWS EKS, cloud-native architecture

DevOps & Infrastructure: Docker, Kubernetes, Terraform, Helm, CI/CD pipelines, infrastructure automation, monitoring infrastructure

Architecture & Design Patterns: Microservices architecture, RESTful APIs, Event-Driven Architecture, state machines, system design

Testing & Quality Assurance: JUnit, Mockito, TestContainers, JMeter, SonarQube, load testing Monitoring & Observability: DataDog, Prometheus, Grafana, application performance monitoring Tools & Platforms: Maven, Git, GitHub, Linux, Gradle, Jira, Confluence PUBLICATIONS

Stanford Geothermal Workshop 01/02/2021

Unification of Geothermal Plants with National Grids Using Artificial Intelligence SN Applied Sciences, Springer 01/03/2021

A Systematic Study on Shaping the Future of Solar Prosumage Using Deep Learning

Contact this candidate