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Backend Engineer

Remote / Online - Candidates ideally in
Berkeley, Alameda County, California, 94709, USA
Listing for: Space Executive
Remote/Work from Home position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 225000 USD Yearly USD 125000.00 225000.00 YEAR
Job Description & How to Apply Below

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 Type Script.

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 Type Script 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 building
    backend or infrastructure systems
    that actually run in production
  • Strong experience in
    Go, Python, Java, Type Script/Node
    , or similar
  • Comfort operating in
    fast-moving, low-bureaucracy environments
  • Experience with
    cloud infrastructure and containers
    (AWS/GCP/Azure, Kubernetes)
  • Curiosity and genuine excitement about
    AI, 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!

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