Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это четко описанная senior backend-роль в зрелом enterprise-продукте с современными технологиями распределенных систем и практической работой с ИИ; главное ограничение - гибридный формат в Праге.
?Гибрид в Праге
Современный стек
Работа с ИИ
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Поддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Backend Engineer (Java) (data trust/AI): Building and operating scalable backend components for a self-service data trust platform, with an accent on data quality, distributed systems, microservices, and APIs. Focus on designing data-intensive services, making platform capabilities agent-ready through LLM and MCP integrations, and owning features from architecture through cloud deployment and operations.
Location: Hybrid in Prague, Czechia
Company
hirify.global develops hirify.global ONE, an agentic data trust platform combining data quality, observability, catalog, lineage, reference data, and master data management for enterprise customers.
What you will do
Build and maintain a self-service data trust platform for business users.
Develop and optimize scalable data quality and data processing components using microservices, messaging systems, and APIs.
Own features end-to-end, from design through production deployment and cloud operations.
Collaborate with the product manager to turn customer problems into pragmatic features.
Contribute to architectural decisions, mentor teammates, and promote thoughtful code reviews and design discussions.
Make the platform agent-ready through APIs and MCP, and use AI coding agents in design, development, testing, and review.
Requirements
Fluent Java skills; curiosity about or experience with Kotlin.
Experience with complex backend applications, data-intensive engines, platform architectures, complex algorithms, and data structures.
Ability to write and understand complex SQL queries and work with relational databases at scale.
Experience building and operating distributed, scalable PaaS systems.
Knowledge of Kubernetes or willingness to learn it.
Experience using AI coding tools such as Claude Code or Codex in daily development.
Ability to write clean, documented, testable code and promote engineering best practices.
Customer-oriented ownership and willingness to work in a collaborative engineering culture with mentorship, feedback, and shared ownership.
Nice to have
Curiosity about or hands-on experience with LLMs, agents, and MCP; hands-on experience is a plus, not a requirement.
Experience or interest in software architecture, databases, cloud operations, application security, identity management, problem solving, complex algorithms, or LLM-powered features.
Culture & Benefits
Hybrid work setup with flexible working hours.
25 vacation days, 2 sick days, and the option to request additional flexible time off.
Global Family Support Program, mental health support, Benefit Plus, and a long-term incentive program.
Conference tickets, online courses, Udemy access, paid AI tools, and a company library.
Company laptop and mobile phone with SIM card and mobile data package.
Collaborative culture based on Challenging Fun, ONE Team, Customer Centric, Candid and Caring, and Aim High values.
Hiring process
AI-assisted tools may support application review, interview notes, scheduling, and assessments, but final decisions are made by Talent Acquisition Partners and Hiring Managers.
Unsolicited resumes from third-party sources are not accepted; candidates should apply directly.
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