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Чётко описанная full-stack роль в зрелой продуктовой компании сочетает современные дата-системы и практические AI-задачи, хотя стартапский темп и широкая зона ответственности могут означать больше неопределённости.
?Широкая ответственность
Современный стек
AI в продукте
Бюджет на развитие
?Стартапский темп
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer, Aiven Context (AI) (Python/React/TypeScript): Building managed open-source data products and a unified context layer for an AI-native open-source data platform with an accent on backend services, web console flows, and production AI pipelines. Focus on integrating DataHub and other data technologies, developing text-to-SQL and automated discovery workflows, and upstreaming improvements to open-source projects.
Location: Finland; hybrid work policy
Company
hirify.global provides a cloud data platform built around open-source databases, search, streaming, and application infrastructure.
What you will do
Launch and maintain managed open-source products, including DataHub on hirify.global.
Build the hirify.global context layer by integrating fragmented data technologies into a unified platform experience.
Develop backend databases and services in Python and user-facing flows in the React-based hirify.global Console.
Implement production-ready AI pipelines for synthetic metadata generation, text-to-SQL, and automated data discovery.
Upstream bug fixes, optimizations, and feature enhancements to open-source projects.
Requirements
High proficiency in Python and willingness to learn additional languages such as Java.
Solid experience with React and TypeScript, plus product intuition for building understandable UI flows.
Deep use of AI tools in the development workflow and an ability to identify automation opportunities.
Ability to work effectively in ambiguous environments, build prototypes, and take ownership from ideation through production.
Familiarity with modern data-stack technologies such as PostgreSQL, OpenSearch, and Kafka.
Nice to have
Experience as an early startup hire.
Active contributions to open-source software projects.
Experience or strong interest in data and analytics, data catalogs, or ontologies.
Experience with or interest in agentic workflows, text-to-SQL, or Graph RAG.
Culture & Benefits
Work in an early-stage-startup environment within hirify.global, with rapid iteration and extreme ownership.
Hybrid work policy with country-specific benefits.
Equity plan and equipment choice.
Professional Development Plan budget and global Employee Assistance Program.
Global time-off commitment covering parental leave, sick leave, and personal time.
Hiring process
Submit a resume to apply; interviews are conducted by video call or in person, never via text or chat.
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