Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли четко описаны задачи по управлению командой, внедрению AI и качеству разработки, но зона ответственности охватывает сразу несколько инженерных направлений.
?Широкая зона ответственности
Понятные задачи
Фокус на AI
Крупная компания
Современные технологии
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (AI/Agentic Engineering) (Cloud, Data, Software): Leading Solution Engineering squads across data, software, and web delivery while combining hands-on technical leadership with people management, with an accent on AI-assisted engineering, software quality, and scalable team organization. Focus on shaping agent-driven workflows, defining engineering standards and metrics, managing cloud and data costs, and developing engineers across product squads.
Location: Marcq-en-Barœul, Hauts-de-France, France
Company
hirify.global is a global family-owned company that designs, manufactures, and markets yeast and fermentation solutions for baking, food, healthcare, and biotechnology, employing 11,700 people in more than 50 countries.
What you will do
Lead, mentor, and develop engineers across Data, Software, and Web Solution Engineering squads, including career paths, upskilling, performance management, staffing, and allocation.
Own technical hiring with HR, define role profiles, build the pipeline, and run interview loops.
Stay close to code and architecture while defining standards for secure and maintainable engineering, code review, testing, CI/CD, observability, documentation, and reusable Golden Paths.
Lead adoption of AI-assisted and agentic workflows, including coding assistants, agent-driven automation, code generation, automated review, and test generation.
Establish AI governance covering security, IP protection, confidentiality, dependency hygiene, and human review of generated code.
Ensure reliable delivery, technical-debt reduction, cloud and data cost efficiency, engineering metrics, budget ownership, and reporting to the Head of Engineering & Infrastructure.
Requirements
10+ years of experience in software, Cloud, or Data engineering, combining hands-on technical leadership with people management as a Tech Lead, Tech Lead Manager, or Engineering Manager.
Strong engineering, technical leadership, or architecture background across AWS and/or Azure and modern software and DevOps practices.
Practical experience with Snowflake or an equivalent modern data environment, including pipelines, modeling, and governance.
Credible practical understanding of AI-assisted and agentic engineering and its impact on engineering-team organization.
Proven Agile practice using Scrum and/or Kanban in a product-oriented delivery context.
Excellent interpersonal skills and the ability to connect technical teams with business stakeholders through influence and trust.
Fluent written and spoken English and French are mandatory for local collaboration and global documentation.
Nice to have
Experience introducing AI coding assistants or agent-based workflows into a production engineering team.
Hands-on background as a Software Engineer, Data Engineer, or DevOps/SRE.
Exposure to product-oriented operating models such as “you build it, you run it” and Team Topologies.
Understanding of secure-by-design and applicative FinOps principles.
Culture & Benefits
Family-owned company with a long-standing history and a people-focused culture.
Mission focused on nourishing people and protecting the planet.
International and multicultural working environment.
Applications are open to people with disabilities, with diversity treated as a strength.
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