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Senior Backend Engineer - Speech Platform

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Onsite

Senior Backend Engineer - Speech Platform

Rezo

Senior Backend Engineer - Speech Platform

Skills

Google Cloud PlatformDockerPythonJavaMachine LearningAWSKubernetesApache AirflowAzure

21 days ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Job Summary

About role: Youll be the engineering owner on the speech team, working alongside two ML engineers and building everything around the models - ingestion, training infrastructure, real-time serving, and the integration into our existing platform. This is a backend engineering role. You dont need to train models. You need to build the systems that make trained models useful in production.

Responsibilities

  • Build the audio data pipeline: mine our call archive, transcode, resample, segment, deduplicate and quality-filter at scale
  • Build and operate real-time inference services with hard latency targets, including streaming, cancellation and mid-utterance interruption
  • Integrate speech services into our existing Java-based platform and telephony infrastructure
  • Instrument the full latency budget end to end and find where the milliseconds go
  • Stand up training infrastructure - GPU scheduling, checkpointing, experiment tracking, reproducibility
  • Own compute cost and concurrency economics: how many simultaneous calls per GPU, and how to improve it
  • Support on-premise deployment for clients who cant send data outside their network

Requirements

Must haves:

  • 3-4 years building and operating production backend systems
  • Strong Java - youve owned services in production, not just contributed to them
  • Working Python - enough to build data pipelines and integrate with ML tooling
  • Real-time or low-latency systems experience: streaming APIs, WebSocket or gRPC streaming, concurrency, backpressure
  • Data pipelines at scale (Airflow, Dagster, Spark or equivalent)
  • Docker and Kubernetes in production
  • Cloud infrastructure (AWS/GCP/Azure)
  • Comfortable debugging performance: profiling, latency percentiles, throughput under load

Nice to have / Qualifications

  • Serving ML models in production (Triton, vLLM, TorchServe)
  • Audio tooling - ffmpeg, sox, codecs, resampling
  • Telephony - SIP, Asterisk/FreeSWITCH, media servers, narrowband codecs
  • MLOps tooling: MLflow, Weights Biases, DVC
  • GPU-aware infrastructure work

Job Type

Full time

Work Experience

4-5 years

Job Opening Name

Senior Backend Engineer - Speech Platform

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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