← All open rolesSoftware Engineering

Golang Engineer (Azure & AI)

  • Remote (US)
  • Contract
  • Posted November 6, 2026

This is a remote role, open to candidates based in the United States.

About the role

We’re looking for a Golang Engineer to design and build backend services and APIs in Go for cloud-native, event-driven applications on Azure. You’ll also build AI features with LLM integrations and embeddings, and work independently in a distributed team that hands work off between shifts around the clock.

What you’ll do

  • Build and maintain backend services and APIs in Go using microservices, event-driven and cloud-native practices.
  • Build AI features with LLM integrations and embeddings, including work with BERT models.
  • Build, deploy and support applications in production on Azure.
  • Design REST and GraphQL APIs for enterprise applications.
  • Use Azure services including AKS, Key Vault, Service Bus and Azure Monitor.
  • Maintain CI/CD pipelines with GitHub Actions.
  • Work closely with developers across business lines, with clean shift-to-shift handoffs.
  • Write clean, well-tested code and review your peers’ code.

What you’ll bring

  • Hands-on experience with Azure, Go, Python, MongoDB, vector databases, embeddings, LLM integration, Databricks, Kubernetes and Kafka.
  • Solid Go backend development, including goroutines, channels, error handling and performance optimization.
  • Experience building or integrating AI solutions: LLMs, embeddings or agents.
  • Strong REST API design, including versioning, OAuth2, JWT, authorization and API gateways.
  • Hands-on GraphQL: schemas, resolvers, mutations, subscriptions and query optimization.
  • Strong Kafka experience for event-driven architectures and stream processing.
  • Extensive MongoDB experience, including the Go drivers.
  • Production experience on Azure, and with microservices and distributed systems.
  • CI/CD with GitHub Actions.
  • Comfort working in a 24x7 development model.

Nice to have

  • Java and Spring Boot, including Spring Cloud, Spring Data and Spring Security.
  • Dynatrace and Splunk.
  • MySQL or Oracle.