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Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru

Level AI
Noida, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
Backend architectureDistributed systemsReal-time data processingHigh-throughput messaging systemsLarge-scale databasesReal-time job queues

Full Job Posting

About Level AI

Level AI provides conversational intelligence for enterprise contact centers using speech AI, NLP/NLU, and retrieval systems.

Role overview

This principal role sets technical direction for backend and ML infrastructure across multiple teams.

Partner with ML, Product, and Infrastructure leads and report to the VP of Engineering.

What you will do

  • Own architecture for real-time data processing and distributed messaging systems with strict latency requirements.
  • Define and execute the roadmap for model training and serving infrastructure.
  • Own GPU capacity planning, scheduling, utilization, and burst-demand handling.
  • Improve inference latency and cost through batching, routing, quantization, compilation, autoscaling, and caching.
  • Drive uptime, observability, and incident response for production serving systems.
  • Turn business problems into executable cross-functional technical plans.
  • Lead design reviews, mentor senior engineers, and shape engineering standards.
  • Evaluate emerging tools and techniques for practical adoption.
  • Comply with company security, privacy, data-protection, and acceptable-use policies.

What you will bring

  • 10+ years building backend and infrastructure systems with architecture ownership at scale.
  • Deep hands-on experience with large-scale databases, high-throughput messaging systems, and real-time job queues.
  • Ability to reason about architectural tradeoffs in large, complex codebases.
  • Experience mentoring senior engineers and influencing technical decisions.
  • Strong written communication for engineering and executive audiences.
  • BTech, MTech, PhD in Computer Science, or equivalent; track record is emphasized over credentials.

Bonus experience

  • Production experience with Django, Celery, Redis, PostgreSQL, and Google Cloud.
  • Experience scaling production GPU infrastructure and model inference.
  • Experience with vLLM, TensorRT, Triton, Ray Serve, or equivalent inference tooling.
  • Experience scaling a platform through a comparable growth stage.
  • Background in speech, NLP, or information retrieval systems.

Benefits

  • Health coverage is offered for the employee, spouse, children, and parents.
  • The posting references home-office, connectivity, learning, and parental-leave benefits, subject to confirmation.

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