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Cloud Golang Developers in United Kingdom

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

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

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

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

Designed Go services for an EV-charging platform covering authorization, billing, charging analytics, cost calculation, and financial reconciliation. Applied CQRS, transactional outbox, and event sourcing to scale transaction processing tenfold while maintaining 99.99% availability.

• Built AWS infrastructure with Terraform and Docker
• Delivered Java distributed systems for fintech workloads
• Implemented GitHub Actions deployment pipelines
• Architected public-sector and energy cloud platforms

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

Built game-server cloud infrastructure on GCP using GKE, Helm, Terraform, and CloudSQL, reducing operating costs by 30%. Designed an Ambassador/Envoy conditional-routing plugin that delivered requests at five times production load while consuming under 15% of the latency budget.

• Refactored Go APIs to make invalid error states unrepresentable
• Reduced production log errors by approximately 20%
• Optimized Jenkins workflows for non-engineering operators
• Implemented OpenTelemetry, Loki, Grafana, and Datadog observability

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

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

Architected cloud-native microservices and event-driven platforms across AWS, Azure, and GCP using domain-driven design and infrastructure-as-code. Designed modular REST APIs and containerized deployments backed by SQL, NoSQL, and distributed messaging services.

• Provisioned infrastructure with Terraform and CloudFormation
• Operated workloads on Kubernetes and Docker
• Built pipelines with Jenkins and Ansible
• Used Elasticsearch, Logstash, and Kibana observability

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

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

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

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