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Cloud 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

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

Built cloud-native networking components in Go for Kubernetes, including a conformant Gateway API implementation serving enterprise deployments. Designed control-plane/data-plane separation to isolate traffic processing from configuration management and improve scalability across large clusters.

• Multi-cluster integration with BIG-IP and Nutanix NKP
• OIDC, external authorization, and mTLS security features
• Automated Helm releases through GitHub Actions
• Gateway API conformance implementation

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

Built Go applications and cloud automation across AWS and GCP using Docker, Kubernetes, Terraform, Jenkins, and Ansible. Developed YAML-driven rule-evaluation pipelines, Go APIs that trigger Airflow DAGs, and ledger-based reward tracking for stateful financial workflows.

• Worked with Snowflake and Cassandra data platforms
• Implemented workloads using DynamoDB and MongoDB
• Applied Puppet for configuration management
• Maintained MySQL and PostgreSQL persistence layers

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

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

Architected storage control-plane patterns for petabyte-scale distributed object storage, covering placement algorithms, capacity management, multitenant identity isolation, durability, and fault tolerance. Built an ML pipeline for device-metric anomaly detection using SageMaker, MLflow, and Kubeflow, alongside a Rust client for IAM and bucket operations.

• Object-storage bucket and IAM management
• Capacity-aware placement architecture
• Kubeflow model deployment workflows
• Enterprise storage operational-efficiency improvements

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

Led the design and implementation of microservices architecture using Golang and Rust. Developed scalable RESTful and gRPC APIs for real-time data processing.

• Microservices architecture
• Golang and Rust expertise
• Scalable RESTful APIs
• Real-time data processing

Specializes in building scalable web applications with modern front-end frameworks. Developed real-time data visualization dashboards for financial analytics platforms. Integrated complex APIs and microservices to enhance application functionality and performance.

• Developed interactive data visualization dashboards
• Integrated APIs with microservices architecture
• Built scalable web applications

Architected enterprise-grade systems with multi-language support including Golang and Rust. Developed high-performance computing solutions for scientific applications. Led teams in designing microservices for distributed architectures.

• Enterprise systems with multi-language support
• High-performance computing solutions
• Microservices for distributed architectures

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 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