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Golang Developers in London

Expert in building enterprise-level applications using Golang and Java, with a focus on object-oriented design principles. Developed backend systems and APIs for large-scale transactional systems. Integrated modern front-end frameworks like React and Angular for seamless user interfaces.

• Designed fault-tolerant systems with Spring Boot
• Implemented caching strategies for improved application performance
• Developed test-driven development practices for software reliability

Engineered high-performance Linux-based systems, specializing in inter-process communication and threading for optimized concurrency. Developed process management tools to streamline resource allocation and improve system reliability.

• Designed low-latency messaging systems in Golang
• Implemented custom IPC mechanisms for secure data exchange
• Optimized threading models achieving 40% efficiency gain

Specialized in distributed systems design, delivering fault-tolerant architectures with Golang. Developed high-performance microservices frameworks, optimizing RESTful communications across services. Created scalable, HTTP-based services for enterprise-level applications.

• Enhanced Java applications with advanced concurrency models
• Implemented caching strategies to boost system throughput
• Developed custom load balancers for distributed environments

Developed a distributed ledger system leveraging Golang for high-frequency trading applications, optimizing transaction processing with a latency reduction of 20%. Spearheaded the design of a fault-tolerant microservices architecture for a cloud-based healthcare platform, ensuring high availability and scalability. Engineered a real-time analytics pipeline using Kafka and Golang, processing over 10 million events per day for a large-scale e-commerce platform.

• Integrated Golang with PostgreSQL for scalable database solutions
• Built a Kubernetes-based orchestration for microservices deployment
• Implemented CI/CD pipelines using Jenkins and Docker
• Optimized memory management in high-load C++ applications

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

Developed distributed microservices for high-traffic financial systems using Golang and Kubernetes. Architected a real-time analytics platform for processing large-scale data streams in AWS. Engineered a robust CI/CD pipeline leveraging Helm and Jsonnet for automated deployments.

• Optimized Rust-based backend for latency-sensitive trading applications
• Implemented Kubernetes operators for dynamic resource management
• Designed scalable cloud infrastructure with AWS CloudFormation
• Integrated service mesh for secure microservice communication

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

Specialized in building concurrent systems with Scala and Go for financial services. Engineered a secure messaging protocol for inter-service communication in microservices architecture. Developed a real-time data ingestion pipeline in C++ for analytics platforms.

• Built a custom compiler for domain-specific language
• Integrated Haskell for high-assurance software components
• Optimized distributed databases for low-latency queries

Leads Go systems processing 5–6 billion telematics points and generating 6–7 million safety events daily through real-time ingestion and geospatial computation. Redesigned speeding detection around confidence-based scoring and added multimodal verification using GPS trajectories, contextual histograms, and language-model-assisted explanations.

• Customer-configurable precision-recall trade-offs
• High-throughput data-platform architecture
• AWS distributed-service operation
• Security-platform engineering

Built Go and Rust services for live AI sign-language video, covering SRT and RTMP ingest through low-latency HLS and DASH delivery on AWS and Kubernetes. Implemented reconnectable ingest sessions, PCM audio extraction, AWS MediaLive relays, CMAF fragmented MP4, and synchronized manifests.

• Picture-in-picture live composition
• FFmpeg-based media processing
• CloudFront video distribution
• Terraform-managed streaming infrastructure

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

Developed NLP-assisted extraction workflows for securities litigation documents spanning 1,000 cases and documents up to 200 pages. Built a PostgreSQL-backed analyst-report search application, combining keyword retrieval with schemas prepared for vector search.

• Designed normalized relational schemas for analytical datasets
• Integrated Bloomberg and CapIQ internal APIs
• Supported Snowflake administration and data workflows
• Packaged scrapers and services with Podman and Docker

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