Senior Software Engineer

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

About the client:

A well funded, fast growing AI infrastructure business whose platform helps large enterprises monitor, evaluate and improve the GenAI systems they run in production. Their customer base spans household-name enterprises across multiple sectors, and they are in a strong growth phase following a recent institutional funding round.

The role:

The backend team owns the distributed systems the whole product sits on. Go is the primary language, with Python, Java and TypeScript alongside it. The problems have genuine depth: computing evaluation metrics across very large volumes of trace data, designing the analytical database layer, and building high-dimensional data processing that runs across a distributed cluster. This is core platform work rather than integration work, spanning clean instrumentation APIs through to real-time evaluation infrastructure operating at high throughput.

Day to day:

• 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
• Prior startup experience, meaning comfort with ambiguity, fast iteration and high ownership. Also non-negotiable
• Five years or more on high-performance backend systems
• Additional depth in Python, TypeScript/Node, Java or similar
• Real interest in the AI and LLM ecosystem
• A track record building and operating complex SaaS platforms at scale
• Public cloud and container orchestration (AWS, GCP, Azure, Kubernetes)

Nice to have:

• Distributed stream processing (Kafka or comparable frameworks)
• Analytical / OLAP database experience
• Observability tooling such as Prometheus