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Senior Backend & Infrastructure Engineer (Core Platform)

Edison Smart® • United State
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Lead the design and ownership of a fault-tolerant, distributed backend platform controlling AI-driven robots and physical experiments. Architect Go/Rust-based services, Kubernetes infrastructure, and zero-downtime scaling solutions while defining long-term technical direction for a high-stakes, production-grade system.

Key Highlights
Technical ownership of core platform infrastructure, including scheduling, Go services, and Kubernetes deployments
Full responsibility for production-grade backend systems with zero-downtime deployments and distributed fault tolerance
Real-world impact: software directly controls autonomous robots in experimental environments
Key Responsibilities
Design, implement, and maintain the scheduling system coordinating robots and experimental equipment
Develop and manage Go-based microservices and APIs powering the platform’s core functionality
Deploy and scale Kubernetes environments across cloud and on-premises infrastructure with zero-downtime deployments
Define and enforce technical direction for the platform’s backend and infrastructure stack
Technical Skills Required
Go Kubernetes Fault-tolerant distributed systems
Benefits & Perks
Up to $300,000 base salary
Equity compensation
Fully covered healthcare
Unlimited paid time off
Nice to Have
Scheduling or planning algorithms
Experience with gRPC and Protocol Buffers
Software controlling physical/autonomous systems

Job Description

Senior Software Engineer, Core Infrastructure

New York, NY (on-site) | Up to $300k base + equity

I'm working with a well funded AI and robotics startup in NYC. Their software controls robots running real world experiments, so it has to be right every time. Small team, serious backing, and real technical ownership.

They need a senior backend and infrastructure engineer to own the core of the platform and set its technical direction.

What you'll do

  • Own the scheduling system that coordinates the robots and equipment
  • Own the Go services and APIs behind the platform
  • Run Kubernetes across cloud and on prem
  • Scale the platform with zero downtime deploys

What they're looking for

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