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Backend Golang Developers in United States

Architected Go orchestration services and a multi-cloud abstraction layer managing workloads across more than 1,000 Kubernetes clusters on AWS, GCP, and Azure. Implemented event-driven microservices with Kafka, RabbitMQ, gRPC/Protobuf, workload isolation, network policies, and horizontal scaling.

• 35% faster platform onboarding
• 30% lower API latency
• Multi-tenant workload scheduling
• Load-testing and rate limiting

Built Databricks and GCP ingestion pipelines processing millions of rows daily through bronze, silver, and gold data layers. Developed AI-assisted document analysis services with custom embeddings and cosine-similarity scoring, reducing review time by 65% and optimizing complex joins by 43%.

• Delivered geospatial and time-series data platforms
• Supported 1,200 concurrent users with 99.99% uptime
• Reduced service latency sixfold through backend redesign
• Implemented SQS/SNS asynchronous messaging patterns

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

Developed Go microservices for a high-traffic commerce platform, including a product data service sustaining 5,000 requests per second with peaks near 20,000. Built Pub/Sub ingestion and synchronization pipelines processing approximately 60 million records across Kubernetes workloads.

• GCP Kubernetes production operations
• Grafana k6 performance testing in CI/CD
• Concurrency-driven throughput optimization
• Legacy platform migration engineering

Develops backend services and Go microservices with REST and gRPC interfaces, including OAuth 2.0, JWT validation, and RBAC enforcement for protected resources. Deploys containerized applications through Docker, Kubernetes, cloud environments, and CI/CD workflows spanning development and production.

• Built PostgreSQL-backed data access and SQL workflows
• Implemented unit and integration test suites
• Automated operational tasks with Python
• Maintained systems involving C, C#, and JavaScript

Architected enterprise PKI, certificate-authority, code-signing, and HSM-integrated identity infrastructure for production cloud environments. Built distributed search and cloud-security platforms in Go, alongside an open-source agent framework supporting multi-step planning, structured tool execution, and multiple LLM providers.

• JWT, DPoP, OAuth, PKCS#11, AWS KMS, and GCP integrations
• Cloud asset discovery and security analytics platforms
• Inventor on security-related patents
• Created production-grade Go open-source frameworks

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

Architected a multi-tenant SaaS platform automating voice calls, SMS, email, and social messaging, scaling ticket volume from roughly 50 to more than 1,800 weekly tickets. Productionized AI workflows with provider abstraction layers, structured outputs, and automated lead qualification.

• Kubernetes service deployment
• PostgreSQL data modeling
• gRPC internal service communication
• OAuth2-secured integrations

Migrated legacy applications into AWS VPC architectures using public and private subnets, reducing infrastructure costs by 20%. Deployed containerized microservices on Kubernetes and automated EC2, networking, and IAM provisioning with Terraform.

• ECS and ECR container workflows
• Auto Scaling and load balancing
• NAT Gateway network design
• Ansible-based configuration automation

Builds large-scale data platforms, search backends, and event-driven microservices in Go and Python for analytics and decision-support products. Uses Kafka, NATS, Protobuf, gRPC, GraphQL, Kubernetes, service meshes, and cloud infrastructure to implement high-performance APIs and distributed retrieval pipelines.

• Rust and Scala backend components
• Istio and Linkerd service meshes
• ArgoCD and FluxCD GitOps
• Terraform and Pulumi provisioning

Automated Docker build, test, and EC2 deployment pipelines, reducing release time from 25 minutes to under 5. Built idempotent SQS job processing with SHA-256 hashes and PostgreSQL constraints, seven battery-metrics APIs, and a TTL cache that reduced aggregation latency from approximately 1.4 seconds to 70 milliseconds.

• Integrated Sentry for backend error observability
• Implemented offline-first SQLite synchronization
• Built APIs over Amazon RDS
• Developed services in Python and Go

Develops enterprise AI platforms combining generative models, large language models, Azure Cognitive Services, and AI-assisted engineering workflows. Builds containerized REST and GraphQL microservices with React, Node.js, Python, Kubernetes, and secure Azure/AWS delivery pipelines.

• ServiceNow enterprise integrations
• Prompt-engineering workflows
• Azure DevOps CI/CD pipelines
• DevSecOps container security

Built core infrastructure, observability pipelines, and automated performance guardrails for a large-scale messaging platform. Works across Rust, Go, C, Python, Redis, PostgreSQL, AWS, and Terraform to improve reliability, throughput, and production latency.

• Tokio-based asynchronous systems development
• KDB-backed financial data processing
• Cross-service incident metrics and mitigation
• Infrastructure automation with Terraform

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