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:
We are looking for a Staff Software Engineer to help build and scale ABBYY’s AI platform. This role sits at the intersection of platform engineering, MLOps, and DevOps. You will own how AI services are built, deployed, observed, and evolved in production, with a strong focus on Kubernetes, cloud infrastructure, and ML lifecycle automation. This is a hands-on technical leadership role. You will design systems, write production code, influence architecture, and mentor engineers. Job Responsibilities:
Design and build scalable AI platform services using Python and microservice architectures
Own DevOps and MLOps workflows including CI/CD, model deployment, versioning, and rollback
Build and maintain Kubernetes-based platforms for AI workloads
Work on data pipelines, dataset versioning, and auto-labeling workflows for model training
Enable end-to-end ML lifecycle: data ingestion, training, evaluation, deployment, and monitoring
Collaborate closely with ML researchers, product teams, and other platform engineers
Drive best practices in software design, reliability, security, and observability
Lead technical discussions, review designs, and mentor team members
Job Requirements:
10+ years of experience in backend or platform engineering
Strong proficiency in Python (or similar backend languages)
Solid experience building microservices and distributed systems
Hands-on expertise with Kubernetes in production environments
Strong understanding of DevOps and MLOps principles
Experience with data management for ML (datasets, labeling, pipelines)
Cloud experience with Azure or strong willingness to adopt Azure quickly
Ability to think at system level and still deliver hands-on
Nice to have:
Experience building internal AI/ML platforms
Familiarity with model serving frameworks and inference optimization
Exposure to auto-labeling, weak supervision, or human-in-the-loop systems
Experience in enterprise or B2B SaaS environments
Here are some of our local benefits:
Comprehensive medical, accidental, and life insurance
Weekly wellness sessions to support physical and mental well‑being
Generous paid time off policy
#LI-MM1
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.
