Backend Engineer

Space Executive; Berkeley (CA); Remote; USD 125,000 - 225,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Unlimited PTO

Generous parental leave

Mental health & wellness support

Job summary

A leading AI infrastructure company is seeking a Senior Backend Engineer to build core backend services for a high-scale observability platform. The ideal candidate will have 5+ years of experience with backend systems, proficient in Go, Python, Java, and TypeScript. This role involves designing APIs specifically for ML workflows and handling real-time data pipelines. Embracing a remote-first culture, the company offers competitive compensation between $125k and $225k, along with equity and benefits like unlimited PTO and health support.

Qualifications

• 5+ years building backend or infrastructure systems that actually run in production.
• Strong experience in Go, Python, Java, TypeScript/Node, or similar.
• Experience with cloud infrastructure and containers (AWS/GCP/Azure, Kubernetes).
• Curiosity and genuine excitement about AI, LLMs, and what’s coming next.

Responsibilities

• Core backend services powering a high-scale AI observability platform.
• Distributed analytics systems built primarily in Go.
• APIs and infrastructure designed specifically for ML and LLM workflows.
• Real-time data pipelines handling massive throughput.

Skills

Go

Python

Java

TypeScript

Cloud infrastructure

Containers (Kubernetes)

Distributed systems

OLAP architectures

Real-time data pipelines

AI and LLMs

Tools

Kafka

Prometheus

Job description

Senior Backend Engineer – AI / ML Infrastructure (Remote)

The Opportunity

We’re partnering with a high-growth AI infrastructure company building a market-leading ML observability platform used by some of the most advanced engineering teams in the world.

The Backend Engineering team is responsible for highly scalable, distributed systems that power real-time analytics, model evaluation, and LLM monitoring at massive scale. While Go is the primary language, the platform also includes services written in Python, Java, and TypeScript.

This is a role for engineers who enjoy hard problems: distributed systems, OLAP architectures, real-time data pipelines, and AI-native tooling. You’ll be part of a core product team shaping how modern ML and LLM-powered applications are built, evaluated, and monitored in production.

What You’ll Be Building

• Core backend services powering a high-scale AI observability platform
• Distributed analytics systems built primarily in Go (with Python, Java, and TypeScript in the mix)
• APIs and infrastructure designed specifically for ML and LLM workflows
• Real-time data pipelines handling massive throughput
• Open-source extensions to OLAP databases and messaging systems
• Tooling that helps teams understand, debug, and improve AI systems in production
• Internal AI agents that help power and scale the product
• You’ll work closely with product, design, and directly with customer engineering teams

What We’re Looking For

• 5+ years buildingbackend or infrastructure systemsthat actually run in production
• Strong experience inGo, Python, Java, TypeScript/Node, or similar
• Comfort operating infast-moving, low-bureaucracy environments
• Experience withcloud infrastructure and containers(AWS/GCP/Azure, Kubernetes)
• Curiosity and genuine excitement aboutAI, LLMs, and what’s coming next

Bonus Points

• Distributed streaming systems (Kafka or similar)
• OLAP or analytics-heavy systems
• Observability tooling (Prometheus, etc.)
• ML / data science exposure
• Hands-on experience building or shipping LLM-powered products

Comp & Perks

• $125k – $225k base + meaningful equity
• Medical, dental, vision, 401(k)
• Unlimited PTO
• Generous parental leave
• Mental health & wellness support

How We Work

• Remote-first, async-friendly culture
• Optional offices in NYC and the SF Bay Area

Apply below if you're interested!