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Strong fit if you enjoy building the data backbone behind a consumer TTS product: durable pipelines, acquisition at scale, and partnership with engineers shipping voice features. Less ideal if you want pure frontend or research-only work without infrastructure ownership.
As a Software Engineer, Data Infrastructure & Acquisition at Speechify, a typical day centers on reliable pipelines that feed speech and product systems: ingest and quality-check large text/audio-related datasets, harden storage and streaming paths, and partner with platform and ML teams so models and apps get clean, timely data. Expect monitoring, incident follow-up, and incremental work that keeps acquisition and infrastructure trustworthy at product scale.
Prioritize batch/stream data systems, cloud storage, observability, and data quality for model/product inputs. Useful practice areas include ETL/ELT, schema design, backfills, and cost-aware pipeline design. No certification list was provided for this role family.
Apps and extensions that turn written text into spoken audio using TTS, across mobile, browser, and desktop.
The listing marks remote as off and places the job in Hamburg, Germany; confirm hybrid/on-site details in the interview process.
Public news highlights strong TTS model rankings, Windows/on-device voice AI, and dictation features—good context for why data infrastructure and acquisition matter.
Website: speechify.com
Speechify is a mobile, Chrome extension, and desktop app that reads text aloud using a computer-generated text-to-speech voice.
Public cache only — not an employee review.
Job Title: Software Engineer, Data Infrastructure & AcquisitionCompany: SpeechifyLocation: Hamburg, Germany The Opportunity Speechify aims to eliminate reading barriers for learning. With over 50 million users worldwide, our text-to-speech technology converts various formats into audio, enabling faster and more effective reading experiences. Join us as a Software Engineer focused on data infrastructure and acquisition in Hamburg, Germany. This role involves building high-quality datasets at petabyte scale through efficient integration of cloud infrastructure and research efforts. Responsibilities Identify new sources of audio data and integrate them into our ingestion pipeline. Maintain and expand the cloud infrastructure for our ingestion pipeline, currently hosted on Google Cloud Platform (GCP) using Terraform. Collaborate with AI scientists to optimize cost-efficiency while enhancing dataset quality and scale. Work closely with other members of the AI team and Speechify leadership to drive innovation in data collection and processing. Requirements A strong background in software engineering, particularly in cloud infrastructure management (GCP). Experience with Terraform for managing cloud resources. Proficiency in Python or another scripting language for data pipeline development. Excellent problem-solving skills and a passion for finding innovative solutions to complex challenges. About Speechify Speechify is a global team of nearly 200 individuals working remotely, including engineers from Amazon, Microsoft, Google, and leading PhD programs like Stanford. Our mission-driven approach has earned us recognition such as the Chrome Extension of the Year by Google and the Design Award for Inclusivity by Apple in 2025. Apply Today To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.
Generated for personal interview prep · 2026-07-23 UTC · getajob.ai