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Backend Golang Developers in Germany

Develops Go services for cloud-security workflows, including vulnerability analyzers spanning multiple operating systems and programming languages. Works with Kubernetes cluster monitoring, container troubleshooting, and policy evaluation for vulnerability management.

• Kafka asynchronous messaging
• IBM MQ integrations
• OpenShift deployment workflows
• Dynatrace service monitoring

Developed scalable microservices architecture for high-traffic e-commerce platforms, optimizing for performance and reliability. Led the design and implementation of a robust backend system for a financial services application, integrating complex RESTful and gRPC APIs for seamless client-server communication. Engineered a distributed caching solution to enhance system throughput and reduce latency across multiple services.

• Architected a multi-region deployment strategy for global service availability
• Implemented fault-tolerant systems using circuit breakers and retries
• Designed data synchronization mechanisms for distributed systems
• Optimized resource usage through effective load balancing techniques

Operates fault-tolerant Go microservices on AWS and Kubernetes for a verification platform serving millions of merchants. Designed Kafka consumers with at-least-once semantics, deduplication, retries, dead-letter handling, and provider abstractions for KYC/KYB integrations.

• gRPC API design
• DynamoDB persistence
• Terraform infrastructure provisioning
• 75% authentication-cost reduction

Architected a healthcare workforce ERP/CRM with automated migration workflows and a five-tier tenant-isolation model using type-isolated RBAC. Builds cloud-native integrations, workflow engines, and data pipelines across Go, PHP, Kubernetes, RabbitMQ, and PostgreSQL.

• GDPR-compliant healthcare data processing
• LLM orchestration and RAG pipelines
• AWS EKS and Bedrock infrastructure
• OpenTelemetry tracing with Jaeger

Led the development of high-performance data ingestion systems for IoT devices, processing millions of events daily. Spearheaded efforts in optimizing SQL queries for large-scale data retrieval operations.

• Designed fault-tolerant systems using Golang and Kubernetes
• Implemented event-driven architectures with message brokers
• Conducted performance tuning for JVM-based applications

Designed and operated Go distributed systems for transaction-critical fintech workflows and event-driven platforms using Kafka, RabbitMQ, NATS, PostgreSQL, and ClickHouse. Recent systems include GraphQL server-driven experiences, experimentation infrastructure, and AI-powered semantic search with vector retrieval.

• Kubernetes platform engineering with Terraform and Helm
• OpenTelemetry tracing with Prometheus and Grafana
• Fault-tolerant concurrent service design
• RAG pipelines using Qdrant

Developed Go microservices for privacy-focused identity operations, ELK data collection, PostgreSQL persistence, and third-party data ingestion into Amazon S3. Implemented concurrency-safe in-memory refreshes and integrations with multiple telecommunications providers.

• MongoDB and Redis data services
• Prometheus and Grafana observability
• Terraform-managed AWS infrastructure
• Playwright end-to-end testing

Developed Go services for video streaming, search, messaging, automated deployment, routing of mock services, and internal developer platforms. Applied PostgreSQL, Redis, REST, gRPC, WebSocket, Kubernetes, and event-driven architectures across cloud-hosted distributed systems.

• HTTP/2 service development
• Consul and Nomad orchestration
• NSQ event processing
• Terraform and Ansible automation

Contributed upstream to etcd and Kubernetes while delivering storage, backup, and observability features for enterprise container platforms. Architected IoT data infrastructure with time-series forecasting, and developed Go operators for database backup, restore, and remote object-storage workflows.

• InfluxDB backups across cloud object stores
• Azure Disk CSI migration implementation
• Prometheus export to Kafka
• Flink and Spark data-processing pipelines

Works on cloud infrastructure, database engines, and AI data-processing platforms, with upstream contributions to etcd and Kubernetes. Designs Go-based backup and restore operators for Kubernetes-managed stateful workloads and has delivered production capabilities across OpenShift storage and observability systems.

• Railway IoT time-series forecasting
• InfluxDB object-storage backup operator
• Azure Disk CSI migration
• Prometheus-to-Kafka data export

Designed distributed software-defined storage services and S3-compatible APIs spanning Kubernetes, cloud object storage, and enterprise data platforms. Implements concurrent data movement, lifecycle management, and reliability instrumentation for storage fleets handling millions of files.

• End-to-end Kubernetes CSI driver ownership
• Hadoop and HDFS plugin development
• Erasure-coding and replication transitions
• Kubernetes operators with Helm tooling

Built Go APIs for remote device actions with progress tracking, live events, and video access, alongside Python services for LLM orchestration. Implemented Salesforce recovery workflows that enforce idempotency, reject stale updates, and verify results before retrying interrupted writes.

• LLM request quotas and cost accounting
• Change-data-capture pipelines with Avro
• OAuth 2.0 and PKCE access flows
• KEDA-driven asynchronous workers

Designed and implemented high-throughput distributed systems for real-time data processing, optimizing for low-latency and fault tolerance. Developed scalable microservices architecture for a financial technology platform, handling millions of transactions daily. Led the migration of legacy monolithic systems to cloud-native infrastructures, leveraging containerization and orchestration tools.

• Built RESTful APIs for large-scale e-commerce platforms
• Optimized SQL queries for performance in data-heavy applications
• Integrated machine learning models into backend services
• Developed custom caching solutions for high-traffic web applications

Engineered Kafka-based contact synchronization pipelines with offset tracking, fault-tolerant retries, 250-contact batches, and zero message loss across more than 500,000 contacts. Built Go services for automation integrations and communications workflows, including multi-provider OAuth 2.0 credential isolation through AWS Secrets Manager.

• Twilio number provisioning workflows
• Bidirectional CRM event synchronization
• Kubernetes cloud-native deployments
• Interface-based integration adapters