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Golang Developers in United Kingdom

Architected microservices for distributed systems, ensuring high availability with AWS. Engineered event-driven architectures utilizing Kafka for real-time data processing.

• Optimized PostgreSQL queries for large-scale data environments
• Led migration from monolithic to microservices architecture
• Implemented robust logging and monitoring solutions

Designed and implemented high-performance XML processing systems for large-scale data transformations. Specialized in SQL-based systems for enterprise-level data management solutions. Developed custom Linux kernel modules for optimized network performance.

• Architected XML Schema validation for financial data exchanges
• Optimized database queries for improved transaction throughput
• Implemented XSLT transformations for dynamic content rendering

Architected full-stack solutions using Go for high-traffic web applications, ensuring seamless integration between backend services and front-end interfaces. Led database optimization projects, improving query efficiency in SQL-driven systems.

• Developed complex UI components with React for dynamic dashboards
• Migrated legacy PHP applications to scalable Node.js services
• Enhanced performance of SQL databases through advanced indexing

Expert in developing VoIP solutions with SIP and RTP protocols in C/C++. Engineered scalable communication platforms supporting thousands of concurrent connections. Integrated Golang for backend services enhancing protocol handling efficiency.

• Optimized RTP stack for low-latency audio streaming
• Designed SIP-based call routing algorithms
• Enhanced VoIP security features with encryption protocols

Led the development of a real-time IoT data processing platform using Golang and Node.js, achieving high availability and fault tolerance. Spearheaded the creation of a scalable cloud-based infrastructure for a SaaS application.

• Implemented serverless architecture with AWS Lambda
• Developed custom plugins for data visualization tools
• Built a CI/CD pipeline for automated deployments

Architected distributed systems for large-scale data processing in cloud environments. Spearheaded the development of an event-driven microservices architecture, optimizing real-time data flow. Innovated in database internals, enhancing query performance and reliability.

• Implemented serverless solutions on AWS for scalable applications
• Designed React-based interactive dashboards for complex data visualization
• Optimized C# backend services for high-frequency trading platforms

Designed distributed systems with a focus on event-driven architectures, enabling real-time data processing and integration across multiple services. Led backend API development, ensuring robust and scalable service layer architectures. Spearheaded technical leadership initiatives, fostering code quality through rigorous code reviews.

• Developed scalable microservices for high-traffic platforms
• Architected event sourcing solutions for data consistency
• Integrated third-party APIs for enhanced system capabilities

Developed scalable backend architectures integrating machine learning models for predictive analytics. Spearheaded Web3 development initiatives focusing on decentralized applications and blockchain technology.

• Optimized backend systems for high-load environments
• Implemented CI/CD pipelines for rapid deployment
• Engineered systems programming solutions for performance-critical applications

Engineered Go and gRPC microservices with Kafka-backed distributed pipelines supporting live workloads of up to 100,000 concurrent users. Refactored C# monoliths into cloud-native services across AWS, GCP, and Azure, with emphasis on reliability and observability.

• RabbitMQ event processing
• Redis-backed high-frequency data flows
• Terraform Kubernetes infrastructure
• Datadog, Prometheus, Grafana, and Jaeger monitoring

Helped establish a greenfield Go microservices platform by defining foundational services, data models, reusable packages, and architectural conventions. Built cloud-native backend components using gRPC, event-driven messaging, PostgreSQL optimization, and AWS-managed services.

• Implemented GraphQL APIs alongside REST interfaces
• Profiled Go services with pprof and Datadog APM
• Built GitOps delivery on EKS and Kubernetes
• Applied DynamoDB and Redis for low-latency access

Built high-throughput Go services for financial, payment, and social-platform workloads on GCP. Developed real-time abuse detection using Kafka, Go, and Python, plus vector-based photo similarity search on AlloyDB for trust-and-safety moderation.

• Used Bigtable for low-latency key-value access
• Deployed infrastructure through Terraform-managed GCP resources
• Implemented analytics pipelines with BigQuery and dbt
• Designed reliability practices for Cloud Run services

Built concurrent Go services using goroutines, channels, gRPC, protocol buffers, and NATS for event-driven backend architectures. Implemented a zero-downtime ASP/MSSQL-to-Node.js/PostgreSQL migration for a platform serving more than 500,000 users, including a Go record-transformation service.

• Debugged race conditions with Go testing tools
• Implemented event transport with RabbitMQ and Kafka
• Applied profiling and performance tuning to services
• Secured APIs with JWT, OAuth2, RBAC, and TLS