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Lightning AI

Cloud-based AI development and deployment platform

Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Extensive experience writing efficient, maintainable code in Go, including testing, readability, and optimization best practices.
  • Broad knowledge of backend and frontend systems, with experience building and scaling APIs, command-line interface tools, billing systems, and security protocols.
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure and designing reliable, performant, and scalable systems.
  • Ability to take ownership of key features and drive end-to-end development.
  • Commitment to software quality, test automation, and continuous delivery, including proactively managing technical debt and speeding up time to production.
  • Hands-on experience as a backend or product engineer in a software-as-a-service technology company.
  • Ability to communicate and collaborate with engineers, product managers, and designers.
  • Ability to operate in high-uncertainty and rapidly changing environments.

Responsibilities

  • Write readable, testable, and efficient code in Go.
  • Build expertise in the technology stack to deliver new features, improve system stability, and increase overall performance.
  • Partner with engineering and product leaders to develop the Lightning product and set technical direction for large projects.
  • Evaluate, strengthen, and document technical architecture, tools, and processes.
  • Maintain software quality, implement automation, drive continuous delivery, reduce time to production, and proactively reduce technical debt.
  • Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving, fostering a supportive and inclusive environment where engineers can grow.

Desired Qualifications

  • Exposure to frontend frameworks.
  • Familiarity with containerization technologies such as Docker and Kubernetes.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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