Staff Software Engineer

ABBYY ABBYY · Enterprise · Hungary · R&D (Engineering)

Staff Software Engineer to lead technical design and delivery of complex, cross-cutting capabilities for ABBYY's Document AI platform (ABBYY Vantage). Role involves driving architecture, setting quality standards, mentoring engineers, and improving platform health, with a focus on LLM integrations and document AI pipelines.

What you'd actually do

  1. Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
  2. Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
  3. 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.
  4. Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
  5. Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.

Skills

Required

  • C# .NET
  • C++
  • CI/CD pipeline design and operation
  • microservices architecture
  • distributed system design
  • cloud-native patterns
  • mentoring engineers
  • technical design reviews
  • architectural decision influence

Nice to have

  • Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
  • delivering production-grade systems with enterprise compliance, security, and reliability standards
  • designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
  • integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
  • operating across a globally distributed engineering organization

What the JD emphasized

  • deep expertise in C# .NET and C++
  • proven experience designing, implementing, and operating CI/CD pipelines
  • strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
  • demonstrated ability to mentor Senior and Mid-level Engineers
  • experience leading technical design reviews and influencing architectural decisions

Other signals

  • document AI platform
  • LLM integration
  • enterprise customers
  • microservices-based product
  • cloud-native