Software Engineer

Lightyear AI

United States

Remoto

USD 120.000 - 180.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Lightyear AI is expanding its software engineering team to build core components of its IT automation platform. As a software engineer you will work with our CTO and VP of Product to design engineering standards and ship features across backend and frontend in a React/Django AWS stack.

This full‑time, remote role offers a base salary of $120,000–$180,000 with equity and strong promotion opportunities for the right candidate.

Competenze

  • 2+ years of professional software engineering experience.
  • Proficiency in a modern frontend framework (React, Vue, etc.) and a server-side language (Python, Node, etc.).
  • Comfortable with SQL databases, Docker, and cloud infrastructure (AWS preferred).
  • You write tests and care about code quality, but know when to ship vs. over-engineer.
  • Demonstrated ability to ramp quickly on unfamiliar technologies and domains.

Mansioni

  • Build and ship full-stack features end-to-end, from API design to UI, that improve the telecom lifecycle for enterprise IT teams
  • Own problems wherever they live across the stack: backend logic, database design, frontend polish, or infrastructure
  • Move fast - we'd rather test a hypothesis quickly than spend forever validating it
  • Contribute to product direction alongside the CTO and VP of Product - engineers here have a seat at the table
  • Leverage AI tooling and techniques to accelerate your own work, improve the product, and create processes and structures that enable the entire company

Conoscenze

React
Frontend
Python
Node.js
SQL
Docker
AWS
Testing
Code quality
Rapid learning

Strumenti

Docker
AWS
PostgreSQL

Descrizione del lavoro

The Company

Lightyear builds software that is revolutionizing the telecom management experience for hundreds of enterprises. Lightyear’s platform helps enterprise IT teams automate telecom procurement, network inventory management, telecom bill payment, and much more, and is utilized by companies including Honeywell, Alo Yoga, Palo Alto Networks, and Louis Vuitton. Lightyear has raised nearly $65M from the first investors in Roblox, Discord, Coupang, Robinhood, and Flexport.

The Position

We’re looking to grow Lightyear’s software engineering team. As a software engineer at Lightyear, you will work directly with our CTO and VP of Product to build the core components of Lightyear’s IT automation software, helping us design a robust set of engineering standards in the process. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems as we continue to push Lightyear forward. You’ll work within (and help influence) our tech stack which utilizes a React front‑end, a Django Rest Framework back‑end, a Postgres database, and hosting on AWS.

This position will be full‑time, fully remote, and salaried with competitive compensation and significant promotion opportunities for the right individual. The base salary for this role will be based on experience with a range of $120,000-180,000 with strong equity.

Responsibilities
  • Build and ship full-stack features end-to-end, from API design to UI, that improve the telecom lifecycle for enterprise IT teams
  • Own problems wherever they live across the stack: backend logic, database design, frontend polish, or infrastructure
  • Move fast - we'd rather test a hypothesis quickly than spend forever validating it
  • Contribute to product direction alongside the CTO and VP of Product - engineers here have a seat at the table
  • Leverage AI tooling and techniques to accelerate your own work, improve the product, and create processes and structures that enable the entire company
Requirements
  • 2+ years of professional software engineering experience
  • Proficiency in a modern frontend framework (React, Vue, etc.) and a server-side language (Python, Node, etc.)
  • Comfortable with SQL databases, Docker, and cloud infrastructure (AWS preferred)
  • You write tests and care about code quality, but know when to ship vs. over-engineer
  • Demonstrated ability to ramp quickly on unfamiliar technologies and domains

Nice-to-have: Experience deploying AI/ML into production code

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