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  Staff Engineer – Backend / DevOps / Platform Engineering  at ABBYY, you will lead the architecture and reliability of large-scale backend and platform systems that support mission-critical workloads.   This is a hands-on technical leadership role focused on  production excellence, DevOps maturity, and scalable distributed systems design . You will drive engineering standards across teams, ensuring systems are reliable, observable, and efficient at scale.   Key Responsibilities   Architecture & System Design   Define and lead architecture for scalable  backend systems and platform services   Design and evolve  distributed systems and microservices architectures   Influence technical decisions across teams to ensure consistent, scalable design patterns     Production Reliability & Operations   Own end-to-end reliability of production systems, including  availability, performance, and scalability   Lead  incident management, root cause analysis, and long-term reliability improvements   Drive proactive identification and resolution of system bottlenecks     DevOps & Platform Excellence   Establish best practices for  CI/CD, infrastructure as code, and release engineering   Drive DevOps transformation through  automation, environment standardization, and deployment reliability   Partner with teams to improve  operational maturity and platform adoption     Observability & Performance   Define and implement  observability standards  across systems (logging, metrics, tracing, alerting)   Optimize systems for  performance, scalability, and cost efficiency   Ensure strong monitoring and alerting coverage for critical services     Leadership & Enablement   Build and promote  engineering best practices, documentation, and internal knowledge sharing   Mentor engineers and elevate technical standards across the organization   Influence engineering culture toward  operational excellence and accountability   Qualifications   Required   8+ years of experience in  backend engineering, platform engineering, or DevOps   Strong backend engineering expertise in  Java or Python , with deep system design experience   Proven experience designing and operating  distributed systems at scale   Deep hands-on experience with  DevOps practices and CI/CD pipelines   Experience owning and operating  large-scale production systems   Strong expertise in  debugging complex production issues  and driving resolution   Solid cloud platform experience ( Azure preferred )   Experience with&nbs