Senior Backend Engineer - Go for AI Analytics Platform

Space Executive; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Space Executive is seeking an experienced backend engineer to own core platform services. You will primarily write Go, shaping high-throughput analytics, APIs for ML/LLM workflows, and distributed systems that scale across cloud infrastructure.

The role demands 5+ years in high-performance backend development, strong ownership, and hands-on problem solving within a fast-growing AI infrastructure startup.

Qualifications

• 5+ years building high-performance backend systems.
• Deep Go expertise with hands-on ownership.
• Experience in cloud platforms (AWS, GCP, Azure) and container orchestration.
• Familiarity with distributed analytics databases and streaming frameworks.
• Track record shipping complex SaaS platforms at scale.

Responsibilities

• Writing maintainable, performant backend code, mostly Go, with Java, Python and some TypeScript.
• Building high-volume, high-availability analytics systems.
• Designing APIs that customers\' ML and LLM workflows are built against.
• Prototyping, optimising and running the services behind the core platform.
• Working with and contributing upstream to open-source analytical databases and distributed messaging frameworks.
• Building monitoring tooling for ML and LLM pipelines.
• Implementing algorithms for processing and visualising high-dimensional data at scale.
• Working closely with product, design and the customer-facing engineering team.
• Helping build out the company\'s internal AI agents.
• Strong hands-on Go. This is non-negotiable, it is the primary language across the platform.

Skills

Go

Python

TypeScript/Node

Java

AWS

Kubernetes

Distributed systems

SaaS platforms

Tools

Kafka

Prometheus

OLAP databases

Job description

Space Executive is seeking an experienced backend engineer to own core platform services. You will primarily write Go, shaping high-throughput analytics, APIs for ML/LLM workflows, and distributed systems that scale across cloud infrastructure.

The role demands 5+ years in high-performance backend development, strong ownership, and hands-on problem solving within a fast-growing AI infrastructure startup.