Backend Engineer

LILT

. Build and maintain backend services for the real-time translation pipeline, including audio ingestion, diarization hookups, streaming ASR/MT orchestration, and result fan-out .

Posted 10/2/2026full-timeUnited StatesJuniorMid-Level💰 $100,612 - $138,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining backend services for real-time translation pipelines, with strong capabilities in API development, event-driven architectures, and production observability. Proficient in handling streaming data and integrating third-party APIs while ensuring high-quality testing and deployment practices.

Highest-signal resume keywords

Backend Software EngineeringREST API DevelopmentNode.js/TypeScriptEvent-Driven ArchitecturesProduction Observability

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Backend Software EngineeringREST API DevelopmentStreaming ServicesNode.jsTypeScriptJavaPythonRelational Data ModelingNoSQL Data ModelingCI/CD

Soft Skills

CommunicationProblem-SolvingCollaboration

Tools & Technologies

GitHub ActionsWebSocketsGRPCKafkaDatadog

Industry Keywords

Real-Time TranslationDiarizationStreaming ASRLocalizationNLP/ML Systems

Tech Stack

Tools & technologies

GraphQLGRPCJavaJavaScriptKafkaNode.jsNoSQLPythonReactTypeScript

About the role

Key responsibilities & impact

Build and maintain backend services for the real-time translation pipeline, including audio ingestion, diarization hookups, streaming ASR/MT orchestration, and result fan-out
Implement event-driven routing logic for low-confidence segments and route them to the correct on-call interpreter by language
Build APIs and services for the bot/agent participant and meeting side panel
Contribute to interpreter correction and real-time broadcast systems
Write and maintain unit, integration, and end-to-end tests
Contribute to GitHub Actions CI/CD pipelines
Instrument services with logging, metrics, and tracing for observability
Partner with frontend/fullstack engineers to define API contracts for the live meeting UI and interpreter workbench
Participate in the on-call rotation and triage production issues
Generate post-meeting assets, including diarized transcripts, TXT/WebVTT/JSON exports, and per-line verification metadata
Work with senior engineers and Product to take services and features from design through production

Requirements

What you’ll need

2–5 years of professional backend software engineering experience
Experience with production systems handling real-time or streaming data preferred
Experience building REST API endpoints and streaming services using WebSockets, gRPC, message queues, or comparable low-latency/event-driven patterns
Solid experience with Node.js/TypeScript, Java, Python, or comparable backend ecosystems, with ability to work across more than one when needed
Experience building and consuming REST/GraphQL APIs, including OAuth, API keys/tokens, and service accounts
Relational/NoSQL data modeling for session state, transcripts, and configuration data
CI/CD and automated integration/e2e testing experience
Ability to ship well-scoped tickets or specifications with minimal oversight and communicate blockers and timeline risks early
US citizenship and residence in the United States
Experience with speech/audio pipelines, including diarization, streaming ASR, or audio stream handling is a strong plus
Experience integrating third-party platform APIs, SDKs, or webhooks is a strong plus
Familiarity with localization/TMS workflows, including XLIFF, Translation Memory, and MT versus human translation pipelines is a strong plus
Experience with event-driven/pub-sub architectures such as Kafka or Pub/Sub is a strong plus
Frontend/React exposure is a strong plus
Microsoft Teams app or bot development experience is a bonus
Experience working on 0-to-1 products within an established company is a bonus
Interest or coursework in NLP/ML systems is a bonus
Production observability tooling experience, such as Datadog, is a bonus

Benefits

Comp & perks

Growth opportunities
Global collaboration
Leading tools
Base salary of $100,612–$138,000 depending on location and factors including experience, skills, and qualifications