Replit

Replit

Staff Software Engineer, Agent Platform

Foster City, CA · Staff+ · Full-time

Sponsorship not specifiedDetected 190 days ago
Backend DevelopmentFull-Stack DevelopmentLinuxAgentic AIExcelSystems EngineeringCommunicationProblem Solving

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

18 transfer filings in the last year, covering 18 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You'll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties.
  • This role blends systems engineering, developer experience and product engineering.
  • We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering.

Responsibilities

  • Replit is building the world's most ubiquitous AI coding agent.
  • Whether it's an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it.
  • We protect apps, give users features to manage security risks, and help them vibe code more safely.
  • Build high-throughput backend applications and services, like streaming chat between user and agent.
  • Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state-conflict-free and in real time.
  • Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences.
  • Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP)

Nice to have

  • Experience across the full-stack.
  • Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git.
  • Experience with event sourcing systems.
  • Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
  • Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
  • Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
  • This is a full-time role that can be held from our Foster City, CA office.
  • 💹 401(k) Program with a 4% match (US Only)

Skills

  • Self-directed and comfortable working autonomously.
  • Self-driving Company https://replit.com/blog/self-driving-company
  • Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
  • AI Adoption https://replit.com/blog/ai-adoption
  • Build Open-Source Apps https://replit.com/build/open-source-app-builder
  • Operating Principles https://blog.replit.com/operating-principles
  • Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
  • Ability to explain complex technical concepts to both technical and non-technical audiences
  • Continuous learning: Passion for staying current with industry best practices and new technologies

Compensation

  • 💰 Competitive Salary & Equity

Company info

  • We're looking for engineers who have a keen sense of the product experience and how to power it with performant systems.
  • Replit is the agentic software creation platform that enables anyone to build applications using natural language.

This listing is sourced directly from Replit's careers page and normalized into a canonical job model.