Senior Backend Developer (Golang)

• Design and build high -performance, scalable microservices using Go with clean architecture patterns (hexagonal/ports -and -adapters)
  
• Develop RESTful APIs and real -time streaming endpoints using frameworks like Fiber or Chi
  
• Implement type -safe database operations using SQLC, GORM, or raw SQL with PostgreSQL
  
• Build and optimize analytical query engines using DuckDB and MotherDuck for OLAP workloads
  
• Design event -driven architectures using message brokers.
  

• Integrate and orchestrate multiple LLM providers (OpenAI, Anthropic, Google Gemini) with pluggable adapter patterns
  
• Build NL2SQL pipelines that convert natural language queries to validated SQL
  
• Implement vector search and embedding pipelines for semantic search capabilities
  
• Design streaming response architectures for real -time AI interactions
  

• Design multi -tenant data architectures with proper isolation and access control
  
• Implement authentication/authorization using OAuth 2.0/OIDC and fine -grained access control.
  
• Build cloud storage integrations for file management
  
• Write database migrations and maintain schema evolution strategies
  

• Write comprehensive unit and integration tests with high coverage
  
• Conduct code reviews and enforce coding standards
  
• Mentor junior developers and contribute to architectural decisions
  
• Document APIs using OpenAPI/Swagger specifications
  

Requirements

• 2+ years of experience writing Production grade Golang code for high performant applications
  
• Strong understanding of clean architecture patterns (hexagonal, DDD etc)
  
• Hands -on experience with PostgreSQL including query optimization, indexing, and migrations
  
• Experience building and consuming RESTful APIs with proper error handling
  
• Proficiency with Docker and container orchestration basics
  
• Experience with Git workflows and CI/CD pipelines
  
• Strong understanding of authentication/authorization patterns (OAuth 2.0, JWT)
  
• Excellent problem -solving skills and attention to code quality
  

• Experience with analytical databases (DuckDB, ClickHouse, or similar OLAP systems)
  
• Familiarity with LLM/AI integrations (OpenAI API, LangChain)
  
• Experience with message queues (NATS, RabbitMQ, Kafka)
  
• Knowledge of Kubernetes and cloud platforms (GCP, AWS)
  
• Contributions to open -source projects
  

• Rust experience for performance -critical components
  
• Python experience for ML/data pipelines and scripting
  
• Experience with vector databases (Qdrant, Pinecone, Weaviate)