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Lingopal · 2 weeks ago

Backend Technical Lead

United States

Full-time

Remote

Lead/Staff

10+ years exp

Lingopal.ai is a mission-driven company redefining global communication through AI. They are seeking a Backend Technical Lead to design and implement core systems, mentor the backend team, and ensure the infrastructure supports high-performance services.

Artificial Intelligence (AI)BroadcastingMedia and EntertainmentSoftwareTranslation Service

Responsibilities

Architect & Build: Design, code, and deploy high-performance backend services using Python. You will own the architecture that orchestrates AI models, video ingestion, and real-time delivery

Technical Leadership: Lead a team of talented engineers. You will drive code reviews, set engineering standards, and mentor the team to foster technical growth

Scale for Growth: Transition our systems to a robust, globally distributed architecture capable of handling massive spikes in traffic

Infrastructure Ownership: With the support of our DevOps team, manage cloud infrastructure, ensuring high availability and fault tolerance

Optimize Performance: Identify bottlenecks in the translation pipeline and optimize for throughput and latency

Qualification

Python ExpertiseSystem DesignContainerizationTechnical LeadershipCloud Environment AWSCloud Environment GCPCloud Environment AzureAI/ML IntegrationVideo EngineeringOrchestration (Kubernetes)Systems Programming (Rust)Audio Signal ProcessingObservability PrometheusObservability GrafanaStartup DNA

Required

10+ years of professional software development experience

B.S. in Computer Science or equivalent

Demonstrated ability to lead technical teams, drive consensus on architectural decisions, and mentor junior/mid-level engineers

Deep, production-level experience with Python and its concurrency models (asyncio, threading, multiprocessing)

Proven track record of designing and building scalable, distributed services in a cloud environment (AWS, GCP, or Azure)

Proficiency with Docker and container orchestration concepts

You thrive in fast-paced environments, possess a high sense of ownership, and are comfortable navigating ambiguity

Preferred

Experience with Rust for performance-critical components

Experience using and deploying ML models in production

Familiarity with GStreamer, FFmpeg, or WebRTC protocols

Professional experience with low-latency audio processing algorithms and/or a strong intuition for sound quality (e.g., being an audiophile or musician is a plus)

Hands-on experience with production Kubernetes clusters

Experience with monitoring and alerting stacks like Prometheus and Grafana