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Backend Golang Developers in United States

Architected a Golang LLM inference proxy with OpenAI- and Anthropic-compatible APIs, integrating Qdrant vector retrieval for retrieval-augmented generation. Designs high-throughput cloud platforms spanning event-driven services, large-scale data engineering, and distributed systems across AWS, Azure, and GCP.

• Automated refactoring, test generation, and code review with Claude Code
• Applied OpenSpec workflows for spec-driven development
• Built Parquet and PySpark data lake pipelines
• Implemented Kubernetes operators and GitOps deployment patterns

Built scalable distributed systems leveraging Go for cloud-native applications. Developed microservices architecture to enhance cloud infrastructure efficiency and resilience. Integrated GraphQL APIs with TypeScript and Node.js for real-time data fetching.

• Designed cloud-native distributed systems
• Implemented microservices for cloud infrastructure
• Integrated GraphQL APIs with TypeScript

Led the design and implementation of microservices architecture using Golang and Rust. Developed scalable RESTful and gRPC APIs for real-time data processing.

• Microservices architecture
• Golang and Rust expertise
• Scalable RESTful APIs
• Real-time data processing

Built Go and PostgreSQL backend systems for cloud-native applications, including smart dispatching that assigns logistics loads to drivers and applies operational optimization algorithms. Developed security-focused infrastructure with Kubernetes and PKI, alongside backend and frontend services across AWS and Yandex cloud environments.

• Implemented Bitcoin wallet functionality
• Integrated Ethereum ERC-20 and ERC-721 contracts
• Deployed and audited smart contracts
• Led a seven-engineer backend and QA team

Specialized in backend development with Golang for web applications. Developed dynamic front-end components using Angular and JavaScript.

• Backend development with Golang
• Dynamic front-end with Angular
• JavaScript for interactive UIs
• SCSS for advanced styling

Led the development of distributed systems and enterprise applications using Golang, with a focus on real-time data processing. Architected scalable solutions for high-traffic environments, leveraging T-SQL and XPath for data management.

• Implemented XSLT transformations for large XML datasets
• Enhanced legacy systems with modern HTML5 interfaces
• Developed Java-based backend services for e-commerce

Architected large-scale messaging infrastructures using RabbitMQ and MQTT, supporting millions of concurrent connections. Spearheaded Agile transformations in software development teams, enhancing delivery efficiency.

• Designed Java-based microservices for financial platforms
• Integrated Golang into legacy systems for modernization
• Led cross-functional teams in Scrum environments

Developed scalable microservices architectures for high-traffic e-commerce platforms, enhancing system reliability and performance. Engineered distributed systems to handle millions of concurrent transactions with fault tolerance and high availability. Designed RESTful API interfaces that optimized data flow and reduced latency across global data centers.

• Architected real-time data processing pipelines for financial applications
• Implemented cross-region replication for distributed databases
• Devised custom caching strategies to improve API response times
• Led migration of legacy systems to cloud-native microservices

Architected large-scale distributed systems with a focus on event-driven architecture, enhancing fault tolerance for critical applications. Led cost optimization initiatives in cloud-native environments, achieving significant reductions in operational expenses.

• Designed resilient microservices for high availability
• Conducted performance tuning for production systems
• Implemented advanced monitoring and alerting solutions

Expert in designing high-performance distributed systems and cloud-native applications. Developed a real-time inventory management system handling millions of transactions per day. Implemented fault-tolerant microservices on AWS using Golang.

• Designed distributed systems with high throughput
• Implemented fault-tolerant microservices on AWS
• Developed real-time inventory management system

Specialized in developing full-stack applications with a focus on microservices architecture using Golang. Built and managed scalable distributed systems on AWS with Kubernetes orchestration. Developed real-time analytics platforms integrating React.js and PostgreSQL for dynamic data insights.

• Migrated monolithic applications to microservices architecture
• Implemented RESTful APIs for scalable web services
• Utilized AWS Lambda for serverless computing solutions

Developed microservices architecture for e-commerce platforms enhancing scalability and performance. Engineered RESTful API integrations for financial services, optimizing transaction processing. Implemented AWS cloud solutions for high-availability systems across multiple regions.

• Designed real-time data pipelines using AWS Lambda
• Optimized Spring Boot applications for reduced latency
• Deployed containerized applications using Docker and Kubernetes

Developed scalable data processing pipelines using PySpark for real-time analytics. Engineered microservices architecture with Golang, enhancing system modularity and maintainability. Specialized in financial technology systems, optimizing SQL databases for high-frequency transaction processing.

• Integrated TypeScript for dynamic web application interfaces
• Automated data workflows with Python scripting
• Enhanced C# backend services for improved performance

Developed a high-frequency trading platform implementing real-time data processing with Python and Ray. Engineered a scalable API backend using Django to support thousands of concurrent users. Optimized distributed task execution in large-scale data pipelines utilizing Celery for efficient job scheduling.

• Built interactive data visualizations using JavaScript and D3.js
• Designed ETL processes for financial data analysis with Pandas
• Integrated machine learning models for predictive analytics in production
• Enhanced system reliability via automated testing frameworks