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.
Job Responsibilities:
Technical Leadership & Innovation:
• Implement and optimize key components of our AI platform infrastructure
• Contribute to technical decisions for platform scalability and reliability
• Lead implementation of platform features and improvements
• Develop infrastructure components for ML model deployment
• Build monitoring and observability solutions
• Create automation for platform operations
Team & Project Leadership:
• Lead technical implementation of platform features
• Provide technical guidance to team members
• Participate in architectural discussions and decisions
• Review code and technical designs
• Support adoption of engineering best practices
• Contribute to technical documentation and standards
Infrastructure & Scale:
• Implement and maintain data pipelines for ML workloads
• Build monitoring and alerting systems
• Optimize resource utilization and performance
• Support production ML systems reliability
Job Requirements:
Education & Experience:
• Bachelor's or Master's degree in Computer Science or related field
• 5+ years of software engineering experience
• Experience with distributed systems and cloud platforms
• Track record of building production infrastructure
Technical Expertise:
• Strong knowledge of distributed systems and cloud services
• Solid programming skills in Python and system languages
• Experience with container orchestration and DevOps practices
• Understanding of ML infrastructure requirements
• Experience with monitoring and observability tools
Leadership & Communication:
• Experience leading technical implementations
• Ability to contribute to technical decisions
• Strong collaboration and communication skills
• Track record of successful project delivery
This role offers the opportunity to work on challenging infrastructure problems while growing technical and leadership skills. The ideal candidate will combine strong implementation abilities with project leadership skills.
Additionally, you will enjoy some of our local benefits such as:
Join ABBYY, and you will:
Love how you work
Love whom you work with
Love what you work on
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.

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.