157 English-speaking jobs in Lublin

Leads the design and implementation of AI-driven QA frameworks for enterprise clients. Drives process innovation and automation strategies for ERP, e-commerce, and cloud native applications. Collaborates with clients and internal teams to integrate modern QA methodologies into the SDLC. Evaluates emerging QA technologies and shapes QA approaches for complex environments.

Data Architect to design and maintain data models across agency, advisor, partner, and transactional domains. Responsible for Snowflake warehouse design, identity linkage strategies, and ensuring data reliability for downstream analytics tools. Requires experience with Snowflake, SQL, Azure Blob Storage, and API-driven ingestion patterns.

Full Stack Engineer will build and scale real-time, data-driven services using Java, Spring Boot, React, TypeScript, and AWS. Responsibilities include developing microservices, designing APIs, and delivering responsive interfaces with live updates. Must have 4+ years of backend development experience with Java, Spring Boot, and OpenAPI. Experience with WebSockets, relational databases, and cloud providers is required.

Design, deploy, and manage AI/ML/GenAI systems at scale on Azure. Lead infrastructure, automation, and CI/CD pipelines for AI workloads. Provide technical guidance to stakeholders and clients.

AI DevOps Engineer specializing in deploying LLMs/SLMs in production, building scalable Azure infrastructure, and advising stakeholders. Requires 5+ years of DevOps/Cloud Engineering experience with strong Azure expertise and experience with Terraform, Ansible, CI/CD pipelines, and Kubernetes.

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLMs/SLMs in Azure cloud environments. Responsibilities include building and automating infrastructure, model lifecycle pipelines, and inference workflows. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

ServiceNow UI Builder Developer to design, deliver, and own complex UI Builder solutions. Requires 3+ years of experience, end-to-end technical solution design, and integration experience. Fluency in English and residency in Poland required.

DevOps Engineer to design, build, and operate scalable cloud-native systems on AWS. Focus on infrastructure as code (Terraform), serverless and containerized environments, and system observability. Requires experience with AWS services, Terraform, Linux, monitoring tools, Python scripting, and Agile processes.

Data Architect will design and evolve data architectures for AI/ML workloads, including fraud detection, risk scoring, and spend optimization. Responsibilities include developing data models, pipelines, and strategies aligned with platform roadmaps. Requires 10+ years of experience in data architecture, cloud native platforms (AWS), and ML operations.

Senior Solution Architect with 7+ years of experience designing enterprise applications using Java and AWS services. Leads the design of scalable, secure solutions, collaborates with stakeholders, and guides development teams on best practices.

Data Engineer to design, build, and deploy DBT Cloud models and Airflow jobs. Experience required in DBT Core/Cloud, Snowflake, Airflow, Python, and software engineering practices.

Lead AI DevOps Engineer responsible for architecting, deploying, and scaling AI/ML/GenAI systems (LLMs/SLMs) in production Azure environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven hands-on experience deploying LLMs/SLMs in production. Strong Azure expertise, scripting (Python + Bash/PowerShell), IaC (Terraform/Ansible), and CI/CD pipelines are essential.

Data Architect needed to lead data storage strategy and design for a multi-product SaaS platform. Requires strong knowledge of AWS OpenSearch/Elasticsearch, relational and NoSQL databases, and cloud technologies. Experience with SaaS, multi-tenant environments, and operational excellence is essential.

Senior ML/AI Engineer will design, implement, and deploy GenAI/LLM-based solutions and production-grade ML models. Responsibilities include building and managing data pipelines, ML lifecycle systems, and MLOps/LLMOps frameworks. The ideal candidate has 5+ years of experience in Data Engineering, Backend, or ML Engineering with a strong understanding of cloud platforms (Azure or GCP) and MLOps/LLMOps tools.

Lead the development of modern web applications, crafting high-performance, scalable, and reusable UI components using React. Drive technical decisions, mentor developers, and shape best practices in code quality, accessibility, and performance.

Experienced Oracle Retail Cloud Functional and Techno-Functional Consultants are needed for large-scale implementations, upgrades, and support. Requires 5-15 years of experience in Oracle Retail projects, expertise in at least two modules (RMS, ReIM, ReSA, RTM, RPM, Allocations, RIB), and proficiency in SQL, PL/SQL, and FRICEW components.

QA Engineer will design, develop, and maintain automated test frameworks for Salesforce solutions. Responsibilities include testing Salesforce applications, integrations, and automations, collaborating with cross-functional teams, and integrating tests into CI/CD pipelines.

Senior AI DevOps Engineer will architect, deploy, and scale AI/ML/GenAI systems, focusing on LLM/SLM deployments in Azure cloud environments. Requires 5+ years of experience in DevOps/Cloud Engineering with proven experience deploying LLMs/SLMs in production and strong Azure expertise.

SAP BI Consultant will design, develop, and implement data solutions using SAP technologies like BW, Datasphere, Analytics Cloud, and HANA. Responsibilities include gathering requirements, optimizing ETL processes, and creating data visualizations. Requires experience with one of the listed SAP technologies and advanced SQL knowledge.

Senior Implementation Engineer to drive enterprise SaaS implementations for large organizations. Develop solutions, partner with stakeholders, and ensure successful onboarding. Requires 3+ years of experience in IT/OT software, strong technical skills, and excellent communication. Fluency in English is required.