Engineering Manager

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Budapest, HUN
In-Office or Remote
24M-32M Annually
Senior level
Artificial Intelligence • Software • Automation
The Role
Lead two backend feature teams focusing on technical decision-making and architectural leadership to develop high-quality backend systems at ABBYY.
Summary Generated by Built In

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.

About the Role 

As a Principal Engineering Manager at ABBYY, you will lead two backend feature teams while remaining deeply hands-on in technical decision-making and architectural leadership. This role uniquely blends people leadership, delivery ownership, and principal-level engineering influence, ensuring the development of high-quality, scalable backend systems that power ABBYY’s intelligent automation platform. 

You will play a critical role in shaping engineering culture, driving technical excellence, and enabling teams to deliver impactful, reliable solutions at scale. 

Key Responsibilities 

People & Team Leadership 

  • Lead, mentor, and grow two backend feature teams (~8 engineers total) 
  • Conduct regular 1:1s, performance reviews, and career development conversations 
  • Partner with Recruiting and HR to hire top talent and build scalable onboarding and progression frameworks 
  • Foster a culture of psychological safety, continuous learning, and engineering excellence 

Technical Strategy & Architecture 

  • Act as a principal-level technical authority across backend systems 
  • Drive architectural decisions across technologies including .NET (C#), Node.js, Kubernetes, AWS, Azure, and Cloudflare Workers 
  • Define and enforce coding standards, testing strategies, and deployment best practices 
  • Serve as the escalation point for complex technical and architectural challenges 

Delivery & Cross-Functional Collaboration 

  • Partner closely with Product Management to refine roadmaps, define scope, and deliver predictable outcomes 
  • Monitor team velocity, remove blockers, and ensure consistent delivery execution 
  • Collaborate with Platform Engineering and SRE teams on SLAs, observability, reliability, and cost optimization 
  • Champion responsible, effective use of AI-assisted development workflows across teams 

Qualifications 

Required 

  • 10+ years of software engineering experience, including 3+ years leading engineering teams 
  • Deep expertise in .NET (C#) and Node.js in production environments 
  • Strong hands-on experience with Kubernetes and cloud platforms (AWS and/or Azure) 
  • Proven experience with Cloudflare Workers and edge computing architectures 
  • Strong background in distributed systems, API design, and event-driven architectures 
  • Demonstrated success hiring, mentoring, and developing engineers across multiple levels 
  • Excellent written and verbal communication skills in English 
  • Active practitioner and advocate of AI-assisted development practices 

Preferred 

  • Experience with multi-cloud architectures and/or FinOps practices 
  • Familiarity with additional Cloudflare products (e.g., Pages, AI Gateway, Zero Trust) 
  • Experience working in distributed or remote-first engineering organizations 
  • Experience hiring and scaling teams in Central or Eastern European markets 

Salary Range:

The anticipated base salary range for this position is between 23,800,000 HUF and 32,200,000 HUF. Base salary ranges may vary by geographic location and relevant experience, education, certifications, and seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis.

Here are some of our local benefits: 

  • Medical benefits after 90 days 
  • SZÉP Card allowance for recreational activities 
  • Volunteering Time Off (VTO) 
  • Company paid sick time up to 10 days per year 

 

 

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.

Skills Required

  • 10+ years of software engineering experience
  • 3+ years leading engineering teams
  • Deep expertise in .NET (C#) and Node.js in production environments
  • Strong hands-on experience with Kubernetes and cloud platforms (AWS and/or Azure)
  • Proven experience with Cloudflare Workers and edge computing architectures
  • Strong background in distributed systems, API design, and event-driven architectures
  • Demonstrated success hiring, mentoring, and developing engineers
  • Excellent written and verbal communication skills in English
  • Active practitioner and advocate of AI-assisted development practices
  • Experience with multi-cloud architectures and/or FinOps practices
  • Familiarity with additional Cloudflare products
  • Experience working in distributed or remote-first engineering organizations
  • Experience hiring and scaling teams in Central or Eastern European markets
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The Company
HQ: Austin, Texas
923 Employees
Year Founded: 1989

What We Do

ABBYY puts your information to work. We help enterprises and organizations to transform their data into intelligent, actionable outcomes, so they can make smart decisions faster and drive better results. Our intelligent automation solutions employ AI that is purpose-built for the enterprise—created with our customers in mind, supporting over 200 languages in real time. ABBYY intelligent document processing transforms data from any document, in any format or language, any time, into data that drives processes and decision-making. ABBYY Process Intelligence delivers process-related insights and monitoring to improve business process execution. For more information, please visit the ABBYY website

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