Senior Backend Engineer (Go/Rust)

Hanzo AI; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Hanzo AI is seeking a backend engineer to build and scale high-volume AI platform services. You will own distributed systems, authentication, streaming, billing, and agent dispatch, with focus on reliability and secure operation.

You will design and maintain high-throughput HTTP and gRPC microservices, scale data stores, and implement streaming pipelines. Remote, full-time with end-to-end ownership of core platform components.

Qualifications

• Extensive experience building distributed systems in Go and/or Rust.
• Strong understanding of database internals, indexing, distributed transactions, and caching.
• Experience with Kubernetes, Linux internals, network socket programming, and eBPF or monitoring.
• High standards for code quality, automated testing, and operational learning.

Responsibilities

• Design, implement, and maintain high-throughput HTTP and gRPC microservices.
• Scale distributed data stores, including relational, analytical, cache, and object storage systems.
• Build streaming pipelines for server-sent events, telemetry, and event buses.
• Improve reliability, security, and deployment practices, with goals that include 99.99% uptime and zero-downtime releases.
• Maintain engineering quality through automated testing, CI/CD, and post-incident reviews.

Skills

Distributed systems

Go

Rust

Databases internals

Caching

Kubernetes

Linux internals

Networking

eBPF/Monitoring

Job description

Role overview

Build and scale backend services that support a high-volume AI platform, including authentication, streamed responses, billing, webhooks, and agent dispatch. The role focuses on distributed systems, service reliability, and secure operation, with end-to-end ownership of core platform components.

Responsibilities

• Design, implement, and maintain high-throughput HTTP and gRPC microservices.
• Scale distributed data stores, including relational, analytical, cache, and object storage systems.
• Build streaming pipelines for server-sent events, telemetry, and event buses.
• Improve reliability, security, and deployment practices, with goals that include 99.99% uptime and zero-downtime releases.
• Maintain engineering quality through automated testing, CI/CD, and post-incident reviews.

Requirements

• Extensive experience building distributed systems in Go and/or Rust.
• Strong understanding of database internals, indexing, distributed transactions, and caching.
• Experience with Kubernetes, Linux internals, network socket programming, and eBPF or monitoring.
• High standards for code quality, automated testing, and operational learning.

Nice to have

• Experience building payment, subscription, or billing metering systems at scale.
• Familiarity with Kafka, NATS, or other message brokers and event-driven architectures.

Benefits and work setup

• Full-time remote role in a distributed team.
• Work is described as autonomous, with end-to-end ownership and contributions to public open-source projects.