Software Engineer, Platform - Vienna, Austria
$30k - $100kSpeechify
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App.Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API,payments, subscriptions, auth, consumption tracking, and analytics — serving over 50million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistentacross five clients and two app-store billing systems that each go quiet at the worst moment.Consumption metering has to be exact enough to bill on and cheap enough to run at ourrequest volume. The public TTS API has external customers with their own productsdepending on our latency and uptime. None of this degrades gracefully — it is either right, orsomeone gets charged twice. The job is to make your own job smaller. Every system you own here should need less ofyou a year from now than it did the day you took it, and the reward for that is a larger one.That is the entire growth path on this team — there is no separate ladder, and no ceilingexcept the one you stop raising. We are a flat organization: people become leaders here bytaking scope and being right about it, fast. What Yo** u’ **ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumptiontracking, and our public TTS API Take on services you didn’t write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep itcorrect after you’ve moved on Automate the parts of your role that shouldn’t need a person, then go take on what thatfreed you up for Turn work you’ve done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where theproduct is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room itcreated A daily working setup with AI agents you can describe in detail — what runs unattended,what you review, and where you’ve decided it doesn’t get to act alone The instinct to check a result against the system itself — logs, database state, the actualrequest — rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim tofinish within a week. The assessment runs in two stages: you’ll submit, get real feedback from an engineer on thisteam, and have time to act on it. Use the tools you use every day. You’ll be asked to walkthrough your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain The Austria Based Salary range for this role is: 30,000-100,000 USD/Year + Bonus + Stock depending on experience. Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr Speechify
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Job Posting Title: Software Engineer II - Ad Platform, Salesforce CRM Analytics Req ID: 10151595 Job Description: Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product...SoftwareFull timeWork experience placement$200k - $400k
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...Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an... ...part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML...SoftwareFull timePart timeInternshipLocal area
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