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: 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 technolo