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Backend Rust Developers in United States

Built low-latency Solana and DeFi trading infrastructure in asynchronous Rust and Go, including multi-venue arbitrage, Drift automation, and Anchor-based on-chain programs. Implemented Yellowstone gRPC market-data streaming, Jupiter routing, Jito bundle submission, and transaction simulation for automated execution reliability.

• Bridged Rust services with Python using PyO3
• Built asynchronous backend services with Tokio and Axum
• Integrated PostgreSQL, MySQL, MongoDB, and Oracle databases
• Automated containerized delivery through Docker and GitHub Actions

Develops crash-resilient Rust and Python services around asynchronous event streams, binary protocols, WAL-backed storage, and POSIX concurrency primitives. Combines API security engineering with property-based testing, constant-time cryptography, and distributed resilience patterns.

• BOLA and IDOR authorization boundary audits
• PostgreSQL WAL and SQLite FTS5 systems
• Circuit breakers and concurrency bulkheads
• AST-based query gating for secure APIs

Builds Rust and Bun microservices for real-time, AI-driven threat detection and security intelligence. Has designed Kubernetes infrastructure on AWS and worked across e-commerce fulfillment optimization, cloud platforms, multidimensional databases, and headless commerce.

• API architecture and developer advocacy
• E-commerce date-delivery optimization
• Data migration and platform modernization
• Security and regulatory compliance engineering

Developed high-performance microservices for distributed systems using Rust and Go. Architected scalable event-driven platforms with an emphasis on data consistency.

• Optimized SQL queries for large-scale data processing
• Built real-time data analytics pipelines
• Implemented RESTful APIs with TypeScript

Specialized in backend system optimization using Rust and C++17/20, focusing on high-performance data processing. Developed scalable data pipelines with SQL and Go for real-time analytics.

• Integrated TypeScript for frontend enhancements
• Optimized Python scripts for data transformation
• Developed cross-platform applications with C++

Built and administered hybrid Windows/Linux infrastructure with Active Directory, DNS, DHCP, VPNs, firewalls, patching, and disaster-recovery workflows. Developed PowerShell, Bash, Python, and Java automation for system operations, log analysis, healthcare integrations, and an AI-powered call-translation workflow.

• AWS EC2 and S3 infrastructure administration
• Ransomware mitigation and vulnerability assessment
• MySQL and SQL Server operational tooling
• Wireshark and Nmap network diagnostics

Developed robust distributed systems and cloud infrastructure solutions. Expertly applied GraphQL for efficient data querying in cloud-native applications.

• Engineered distributed systems
• Implemented cloud infrastructure solutions
• Utilized GraphQL for data querying

Designed and implemented large-scale distributed systems handling millions of transactions per second. Spearheaded the transition to microservices architecture for a major financial platform, reducing latency by 40%. Developed an event-driven architecture to streamline real-time data processing across multiple services.

• Optimized JVM-based applications for high-frequency trading systems
• Architected scalable solutions with Apache Kafka in Rust
• Built a multi-language service mesh for cross-platform interoperability

Developed scalable microservices using Rust and FastAPI for data-intensive applications. Utilized Docker containers to streamline deployment processes across distributed systems.

• Built microservices with Rust and FastAPI
• Deployed applications using Docker
• Worked with SQL and NoSQL databases

Architected Rust event-driven services on AWS EKS processing more than one million concurrent interaction events across multiple production deployments. Built exactly-once pipelines across Kinesis, Lambda, DynamoDB, PostgreSQL, and Redis, with sub-second delivery and automated infrastructure managed through Terraform, Helm, and ArgoCD.

• LGTM observability stack
• Backpressure-aware event processing
• AI recommendation infrastructure
• GitOps deployment automation

Engineered scalable backend services for data-intensive applications, focusing on microservices architecture and container orchestration. Implemented data transformation pipelines using Rust to enhance data processing efficiency.

• Designed RESTful APIs with TypeScript and Rust
• Automated infrastructure with Docker and Bash scripting
• Built CI/CD pipelines for continuous integration

Led the design of microservices architecture using Golang and Rust, integrating gRPC for efficient communication. Developed RESTful APIs for scalable cloud applications.

• Designed microservices architecture with Golang
• Integrated gRPC for communication
• Developed scalable RESTful APIs

Architected a high-throughput, distributed financial trading platform using Rust and Go, handling millions of transactions per second. Spearheaded the development of a microservices architecture for a healthcare data processing system, integrating Java and Python components.

• Implemented real-time data analytics engine in JavaScript
• Developed custom C# libraries for enterprise applications
• Optimized legacy systems by porting to modern Rust codebase

Builds Java and Spring Boot microservices for telecom and enterprise systems, including billing workflows, gRPC integrations, and AWS-hosted services. Redesigned a billing layer to reduce pipeline failures by 20% and migrated legacy components to gRPC with latency reductions reaching 30%.

• Implemented Kafka-based event processing
• Applied OAuth2, PKCE, RBAC, and HMAC
• Operated Kubernetes workloads on Amazon EKS
• Instrumented services with Prometheus and Grafana