Backend Engineer

Join LILT, a leading language technology company, as a Backend Engineer on the Create team. In this role, you will work closely with senior engineers and Product to build the services powering the real-time translation pipeline and meeting-platform integration. You will help define clean API contracts, contribute to the event-driven correction and broadcast system, and grow into owning larger pieces of the backend architecture. You will also build and maintain backend services, implement event-driven routing logic, and write and maintain automated tests. Additionally, you will partner with frontend/fullstack engineers, participate in on-call rotation, and help generate post-meeting assets.

• Contribuer à la définition des contrats d'API et à la mise en œuvre de la logique de routage événementiel.
• Construire et maintenir des services backend pour le pipeline de traduction en temps réel, y compris l'ingestion audio et l'orchestration ASR/MT.
• Écrire et maintenir des tests automatisés et contribuer aux pipelines CI/CD pour les nouveaux services backend.

• Experience with event-driven/pub-sub architectures (Kafka, Pub/Sub, or similar)
• Ability to take a well-scoped ticket or spec and ship it with minimal oversight, while communicating blockers and timeline risk early
• Enough frontend/React exposure to reason about API contracts with a real-time, stateful UI
• Experience building and consuming REST/GraphQL APIs, including authentication patterns (OAuth, API keys/tokens, service accounts)
• Comfort with relational/NoSQL data modeling for session state, transcripts, and configuration data
• Experience integrating with third-party platform APIs, SDKs, or webhooks (Slack, Zoom, or similar collaboration platforms)
• Solid experience with Node.js/TypeScript, Java, Python, or a comparable backend language/ecosystem, and the ability to work across more than one when needed
• Solid grasp of testing and delivery practices: CI/CD and automated integration/e2e tests
• 2–5 years of professional backend software engineering experience, ideally including production systems that handle real-time or streaming data
• Familiarity with localization/TMS workflows: XLIFF, Translation Memory, MT vs. human translation pipelines
• Experience building REST API endpoints as well as streaming services with WebSockets, gRPC, message queues, or comparable low-latency/event-driven patterns
• Experience with speech/audio pipelines: diarization, streaming ASR, or audio stream handling
• US citizenship and residence in the United States
• Strong Plus
• Hands-on Microsoft Teams app or bot development specifically (Teams Toolkit, Bot Framework, Azure Communication Services, Microsoft Graph)
• Interest or coursework in NLP/ML systems
• Experience working on 0-to-1 products within a larger, established company
• Experience with observability tooling (e.g., Datadog) in production, latency-sensitive systems