Lilt · United States
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 and maintain backend services for a real-time translation pipeline and meeting-platform integration. You will 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 write and maintain automated tests, instrument services for observability, and participate in on-call rotation.
- 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