Golang Developer

About This Role

Working as a Golang Developer, you will contribute to backend engineering and architecture, focusing on building and maintaining production-grade backend services. This role is for an experienced software engineer with a strong background in distributed systems and API design, who can also work with server-rendered frontend architectures and various databases.

Responsibilities

• Build and maintain production-grade backend services with Golang (Go)
• Design and implement RESTful APIs and GraphQL services, including API contracts, versioning, and integration patterns
• Define service boundaries, establish architectural standards, and make sound technical decisions across complex enterprise platforms
• Design maintainable user interfaces without relying heavily on complex client-side frameworks
• Work with event-driven architectures, messaging systems, and streaming data patterns
• Collaborate with AI/ML engineering teams to define reliable interfaces, data contracts, and service integration requirements

Requirements

• 8+ years of professional software engineering experience, including at least 2 years in a Staff Engineer, Principal Engineer, Technical Lead, or equivalent technical leadership capacity
• Strong hands-on development experience with Golang (Go)
• Deep understanding of microservices architecture, distributed systems, concurrency, scalability, fault tolerance, and asynchronous processing
• Strong experience designing and implementing RESTful APIs and GraphQL services
• Experience with HTMX and lightweight, server-rendered frontend architectures
• Understanding of server-driven UI patterns, minimal client-side JavaScript, and efficient frontend/backend integration
• Strong SQL development experience with PostgreSQL and/or Oracle
• Hands-on experience with MongoDB, including document modeling and database integration
• Experience working with event-driven architectures, messaging systems, and streaming data patterns
• Understanding of database performance, data consistency, and scalable data access patterns
• Working knowledge of Model Context Protocol (MCP) or comparable agent-tool integration patterns
• Understanding of how backend services, APIs, and enterprise data systems integrate with AI agents and AI/ML platforms
• Familiarity with AI-assisted software development workflows and the AI-Assisted Development Lifecycle (AIDLC)
• Ability to collaborate with AI/ML engineering teams to define reliable interfaces, data contracts, and service integration requirements

Benefits

• BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program)