Senior Python Developer

Аналитика рынка

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Описание

About the role This role supports the BuyerLink business, which runs a lead marketplace across automotive, home services, HVAC, and insurance. Every day the platform matches consumer intent to the businesses that can act on it, at volume, in near-real time. The systems that do this are Python: the services that route and score leads, the pipelines that move data between our marketplace and our partners, and the internal tools our operators use to run the business. We are hiring a senior engineer to own a meaningful piece of that. This is a broad platform role rather than a narrow one. In a given quarter you might design an API a partner integrates against, rebuild a pipeline that has outgrown its original design, and ship an AI-backed feature that removes manual work from an internal workflow. If you want deep ownership of systems that carry real revenue, and you would rather make a decision than wait for one, this will suit you. You will be based in Yerevan, working alongside our Armenia engineering team and with colleagues in the United States, Canada, Guatemala, and Ukraine. Most of your day runs on your own schedule, with an afternoon overlap window for the people you work with in North America. That structure gives you long stretches of uninterrupted build time, and it puts a premium on clear written communication. Decisions here get made in writing so that they survive the time difference. On structure: you will report to a manager in Armenia, and your day-to-day technical direction, priorities, and sprint work come from our Python team in Ukraine, specifically their technical lead and project manager. In practice you are a full member of that Python team, in a time zone close enough that real-time collaboration works without anyone bending their day around it. What you will do Design, build, and operate Python services and APIs that carry production traffic, with performance, reliability, and security as first-order concerns rather than afterthoughts. Own data pipelines end to end: ingestion, transformation, validation, and the monitoring that tells you when something has gone wrong before a partner does. Make architecture decisions and defend them. You will be the person in the room with the strongest opinion on how a system should be shaped, and you will be expected to have one. Build AI-assisted features into internal and customer-facing products where they earn their place, working with LLM APIs, retrieval, and structured extraction. Review code

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