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abbyy
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Венгрия
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ГибридПолная занятость

Staff Software Engineer

Оценка ИИ

ABBYY — признанный лидер рынка с мировым именем и впечатляющим списком клиентов (Fortune 500). Позиция Staff уровня предлагает высокую степень влияния на продукт, работу с передовыми технологиями (GenAI, LLM) и отличный социальный пакет в Будапеште.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует исключительного сочетания глубоких знаний C++ и .NET, 10-13 лет опыта и навыков архитектурного лидерства в облачных средах Azure. Высокая сложность обусловлена необходимостью управлять кросс-функциональными инициативами и внедрять передовые AI/LLM технологии в продукт корпоративного уровня.

Анализ зарплаты

Медиана7 500 €
Рынок6 000 € – 9 000 €
Оценка ИИ

Зарплата для позиции Staff Engineer в Будапеште значительно выше средней по рынку и обычно включает в себя существенную бонусную часть и опционы. Указанный диапазон отражает рыночные стандарты для международных технологических компаний в Венгрии для специалистов с опытом более 10 лет.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Software Engineer position at ABBYY. With over a decade of experience in developing large-scale cloud services and a deep expertise in C#, .NET, and C++, I am eager to contribute to the evolution of the Vantage platform. My background in architecting microservices on Azure and integrating AI/ML pipelines aligns perfectly with ABBYY's mission to transform document intelligence through purpose-built AI and LLM integration.

Throughout my career, I have acted as a technical multiplier, leading complex architectural decisions and mentoring senior engineering talent. I am particularly impressed by ABBYY's commitment to innovation, as evidenced by the native Azure OpenAI integration in Vantage 3.0. I am confident that my experience in driving operational excellence and building production-grade systems for enterprise customers will allow me to make a significant impact on your globally distributed R&D team.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в abbyy уже сейчас

Присоединяйтесь к ABBYY в Будапеште и станьте техническим лидером в создании инновационных AI-решений мирового уровня!

Описание вакансии

Join ABBYY and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.

Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.

As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Over 10,000 customers trust ABBYY, including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Responsibilities:

  • Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
  • Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
  • Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
  • Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
  • Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
  • Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
  • Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Required Qualifications:

  • 10–13 years of professional software engineering experience with deep expertise in C# and .NET, and C++
  • Proven experience designing and operating large-scale cloud services on Microsoft Azure (AKS, Azure OpenAI, Azure Service Bus, or equivalent)
  • Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
  • Demonstrated ability to mentor Senior and Junior Engineers and partner with Engineering Managers on technical direction
  • Experience leading technical design reviews and influencing architectural decisions across team and product boundaries
  • Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards

Desired Qualifications:

  • Experience building or integrating AI/ML pipelines, LLM-based extraction or enrichment services, or document intelligence capabilities in production
  • Familiarity with compliance-driven engineering practices in regulated industries (Financial Services, Healthcare, Government)
  • Track record of measurably improving engineering velocity, system uptime, or COGS in a PE-backed or high-growth SaaS environment
  • Experience with BYOM (Bring Your Own Model) patterns, model serving infrastructure, or GenAI prompt engineering at scale
  • Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

  • Partial compensation for glasses and lenses
  • Private health insurance
  • Volunteering Time Off (2 days/ year)
  • SZÉP Card for recreational activities
  • 3 extra days/ month for 'sick leave' without doctors visit

Join ABBYY, and you will:

Love how you work

  • We provide remote and hybrid working options to fit all lifestyles.
  • We use flexible hours across most of our teams to allow you to find your own definition of balance.
  • Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
  • To ensure your family is cared for, we offer paid parental leave in all our locations.

Love whom you work with

  • We are a global team of 600+ colleagues, spread across 15 countries on four continents.
  • With colleagues representing 30+ nationalities, our workforce reflects the world.
  • Innovation and excellence run through our veins. Our teams gather the expertise which has garnered ABBYY more than 140 technology patents.
  • We are guided by the values of respect, transparency, and simplicity.
  • "Team Environment" is in the top three highest-scoring drivers of engagement across all of our departments.

Love what you work on

  • We are a company with more than 35 years of experience in the technology market;
  • Over 10,000 customers trust ABBYY, including many Fortune 500 ones, with names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK;
  • We have modernized the capture market by creating the first low-code/no-code IDP platform.
  • Our Machine Learning, Natural Language Processing, Computer Vision Technologies, and a marketplace built with AI, can transform any document in any process;
  • Top Analyst firms recognize ABBYY's market leadership, including Gartner, Everest PEAK Matrix ® Assessment, ISG Intelligent Automation Lens, and NelsonHall, amongst others.

ABBYY is an Equal Employment Opportunity employer that values the strength that diversity brings to the workplace. To learn more about our commitment to Diversity and Inclusion, check out the careers section on our website.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • C++
  • .NET
  • Microsoft Azure
  • Azure Kubernetes Service
  • Azure OpenAI
  • Azure Service Bus
  • Microservices
  • Distributed Systems
  • CI/CD
  • Observability
  • NLP
  • LLM
  • Generative AI

Возможные вопросы на собеседовании

Проверка глубины понимания микросервисной архитектуры и работы с Azure.

Опишите ваш опыт проектирования и масштабирования высоконагруженных микросервисов в Azure. С какими специфическими проблемами Service Bus или AKS вы сталкивались?

Оценка навыков интеграции современных AI-решений.

Как бы вы подошли к архитектуре системы для интеграции LLM (например, Azure OpenAI) в существующий конвейер обработки документов, учитывая требования к задержке и стоимости?

Проверка лидерских качеств и умения влиять на процессы.

Приведите пример, когда вам пришлось убеждать команду или руководство принять сложное архитектурное решение, с которым они изначально были не согласны.

Оценка опыта работы с гибридным стеком (C# и C++).

Учитывая требования к C# и C++, расскажите о случаях, когда вам приходилось оптимизировать производительность на стыке этих технологий или управлять нативным кодом в управляемой среде.

Проверка ответственности за надежность системы.

Расскажите о самом серьезном инциденте в облачной среде, которым вы руководили. Какие системные изменения вы внедрили после проведения post-mortem?

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