Job Opportunities API

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