InnoData

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engineer

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

• Design and implement prompt strategies to improve accuracy, localization, and cultural alignment in data labeling and translation processes
• Translate business requirements into scalable AI-driven solutions with Product, Data Science, Operations, and client stakeholders
• Identify automation opportunities and develop prompt-based workflows
• Continuously measure and refine performance to ensure quality and reliability
• Collaborate with data scientists, linguists, and localization experts
• Prototype and validate AI models
• Design, develop, and implement prompts for data labeling and localization within software applications
• Understand software stack components, use cases, data structures, data formats, and data modeling to iterate on solutions
• Conduct user testing and feedback analysis to optimize prompt design
• Analyze model performance using KPIs and metrics against customer acceptance criteria
• Communicate technical findings and solution strategies to technical and non-technical stakeholders
• Collaborate on data pipelines and workflows integrating LLMs into automated systems
• Create guidelines and training materials for prompt usage
• Monitor industry trends and tools in data labeling and localization

Prompt Engineer

Prompt Engineer designing LLM workflows for Innodata, a global data engineering company. Automating data annotation, localization, and human-evaluation processes.

devops-engineer

• Provide production support and maintenance for enterprise applications hosted on Google App Engine
• Triage, diagnose, restore service, and drive user-impacting incidents to closure within agreed SLAs/SLOs
• Troubleshoot application errors, latency, performance degradation, service failures, configuration issues, quota/scaling limits, and integration failures
• Design, develop, and deliver feature enhancements to existing applications
• Support microservices architecture, APIs, authentication, inter-service communication, and failure/retry behavior
• Own build, release, and deployment activities across development, test, pre-production, and production environments
• Manage App Engine deployments, traffic splitting, canary/staged rollouts, rollbacks, configuration, and scaling
• Perform root-cause analysis and implement sustainable fixes
• Build and maintain monitoring, alerting, logging, dashboards, and error reporting
• Support platform, framework, library, dependency, and runtime upgrades
• Support IAM, service accounts, access controls, secrets management, and operational governance
• Participate in change management, release-readiness reviews, and on-call/rotational support
• Collaborate with client and cross-functional engineering, product, QA, data, infrastructure, and platform teams
• Create and maintain technical documentation, runbooks, troubleshooting guides, deployment procedures, and support playbooks

Application Reliability Engineer

Application Reliability Engineer supporting Innodata’s Google Cloud enterprise applications. Restoring production services, managing deployments, and enhancing microservices for a global AI data engineering company.

data-engineer

• Support and maintain production GCP data platforms, pipelines, and workflows across batch and streaming workloads
• Troubleshoot and optimize Cloud Composer / Apache Airflow workflows, including DAG failures, dependencies, scheduling, retries, latency, and SLA issues
• Troubleshoot pipeline failures, data latency, performance degradation, configuration problems, and infrastructure issues
• Monitor platform health and improve reliability, scalability, performance, and operational efficiency
• Optimize existing pipelines and workloads to improve refresh times, throughput, query performance, and platform stability
• Support platform, infrastructure, configuration, and dependency upgrades while maintaining production stability and compliance
• Perform root-cause analysis and implement sustainable fixes for recurring production issues
• Support IAM, access controls, monitoring, alerting, logging, and operational governance
• Collaborate with client and cross-functional Data Engineering, BI/Analytics, Application Engineering, Infrastructure, and Platform teams
• Review existing architectures and recommend incremental improvements
• Create and maintain technical documentation, operational runbooks, troubleshooting guides, and platform support procedures

Data Platform Engineer, GCP

GCP Data Platform Engineer maintaining and optimizing production data platforms for Innodata, a global data engineering and AI services company. Supporting Airflow pipelines, GCP infrastructure, reliability, and troubleshooting.

InnoData

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Prompt Engineer

InnoData

Application Reliability Engineer

InnoData

Data Platform Engineer, GCP

InnoData