Member Of Technical Staff
US$180,000 – US$260,000 / yr base salary
Posted 15 Jul 2025
Advertised as “Member of Technical Staff (Backend)”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$180,000 – US$260,000 / yr |
|---|
About us
ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Autonomous is an agentic wealth manager built on this foundation.
Founders: Early GPU cloud (9 figure exit).
Investors: Led by Garry Tan / YC with participation from one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), and other top-tier angels.
About the Role
You’ll architect, build, and maintain the distributed systems, APIs, and backend infrastructure that power world-class AI research and deployment. Your work will enable rapid experimentation, robust data flows, and scalable compute. This is a hands-on role for someone who thrives in small, high-agency teams.
Responsibilities
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Design and implement scalable backend services, data pipelines, and APIs
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Build infrastructure for high-throughput, low-latency AI/ML workflows
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Set up and manage databases (SQL/NoSQL), including schema design, replication, indexing, and performance optimization
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Optimize for performance, reliability, and security at every layer
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Implement observability best practices (logging, tracing, monitoring, performance tuning)
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Work closely with research and infra teams to support experimental velocity
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Contribute to core engineering culture, including code reviews and mentorship
Requirements
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3+ years building distributed systems or high-availability backends (preferably in fast-moving or high-stakes environments)
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Strong proficiency in Python and at least one systems language (e.g., Go, Rust, C++)
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Experience with cloud platforms, containerization, and orchestration (AWS/GCP/Azure, Docker, Kubernetes)
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Database setup, management, and optimization experience (SQL/NoSQL)
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Relentless focus on code quality, correctness, and performance
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Comfortable leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase productivity & code output while maintaining high code quality, maintainability, and structure
Bonus – Agentic workflows / applied AI integration