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Software Engineer

Svitla Systems, Inc.
format:Remotecompany:Outsource
distributed systemsapidata modelingnode.jstypescriptrubyclaude codecursorgithub copilotany one ofclaude code
gdprai agentscloud
englishB2
experience8+ years
domainTravel
> full description

Requirements

  • 8+ years in software engineering, with recent experience as a tech lead, architect, or staff-level engineer.
  • Strong backend and system design skills: distributed systems, APIs, data modeling, scalability, and reliability.
  • Production experience with Node.js/TypeScript.
  • Willingness to learn Ruby on Rails if you do not already have experience with it.
  • Proven ability to take an undefined problem from discovery to delivery with little supervision.
  • Hands-on experience with AI coding tools (e.g., Claude, Cursor, Copilot) and the judgment to validate their output.
  • Excellent communication skills: the ability to explain ideas clearly, ask the right questions, and keep stakeholders informed without being chased.
  • High ownership and genuine motivation to build product in a fast-moving environment.
  • Upper-Intermediate English or higher.

Will be a plus

  • Experience with Ruby on Rails in addition to Node.js.
  • Hands-on GDPR or other data-privacy compliance experience.
  • Background in marketplaces, booking and reservation systems, hospitality, or travel.
  • Experience leading a large system rewrite or migration.
  • Experience with agentic AI workflows in the software development lifecycle.
  • Familiarity with cloud infrastructure and SRE practices.

Responsibilities

  • Own ambiguous, high-impact initiatives end to end: investigate, define scope, propose solutions, and deliver them.
  • Lead the technical side of international expansion, including GDPR compliance (data export, deletion, consent, data residency).
  • Design and build backend systems supporting new verticals: spa, events and ticketing, day rooms, and food and beverage.
  • Take part in the rewrite of core systems, shaping architecture and migration strategy.
  • Present options with clear trade-offs to engineering leadership and drive decisions to completion.
  • Write production code daily, using AI tools effectively and reviewing AI-generated code critically.
  • Identify technical risks, bottlenecks, and dependencies before they become problems.
  • Collaborate with the principal engineer and the Marketplace, Hotels, and Platform teams.
  • Communicate proactively and clearly, in writing and on calls, with a US-based team.
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