Backend Engineer - AI-Powered Observability Platform

United States Digital Space LLC; United States; Hybrid; USD 146,000 - 235,000; Full time

Benefits offered by this job

RSUs

Health insurance

Vision & Dental

Mental health benefits

Job summary

United States Digital Space LLC is seeking a Backend Engineer to help build Vega, our AI-powered platform that surfaces insights and automates actions across the company products. This is a greenfield opportunity to evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and enables a usage-based SKU.

You will work primarily in Go services and data pipelines at scale, designing APIs, and collaborating with product, design, and

Qualifications

• 5+ years of professional software engineering experience shipping backend systems.
• Proficient in Go and designing APIs and distributed services.
• Experience with data-intensive systems and high-throughput pipelines.
• Experience with or building LLM-powered features or AI-driven workflows.
• Strong collaboration and written/verbal communication skills.

Responsibilities

• Design, build, and ship backend features across the Vega platform (APIs, Go services, agent infrastructure, data pipelines).
• Own features end-to-end from prototype to production rollout and iteration.
• Operate high-throughput data systems to keep them reliable and cost-efficient.
• Collaborate with product managers, designers, and engineers across Observability and Feature Management.
• Mentor teammates and contribute to a high-trust engineering culture.

Skills

Go programming

API design

Distributed systems

LLM features

Data pipelines

Tools

ClickHouse

Job description

United States Digital Space LLC is seeking a Backend Engineer to help build Vega, our AI-powered platform that surfaces insights and automates actions across the company products. This is a greenfield opportunity to evolve Vega from an Observability-focused assistant into a cross-product platform that serves Feature Management customers and enables a usage-based SKU.

You will work primarily in Go services and data pipelines at scale, designing APIs, and collaborating with product, design, and