292 English-speaking jobs in Białystok

Designs AI-driven, LLM-based technical solutions across multiple pods. Interprets business requirements and shapes architectural approaches. Experience with LLM-based applications, RAG, vector databases, and Python-based AI stacks is required.

Senior Data Engineer will contribute to the development of a centralized Lakehouse Data Platform on AWS and Databricks. Responsibilities include managing data infrastructure, ETL pipelines, and implementing monitoring and testing within the platform.

Leads the design, integration, and governance of Operational Technology (OT) systems across a modern utilities environment. Focuses on secure SCADA, telemetry, and industrial automation platforms, ensuring seamless interoperability with enterprise IT, ERP, and cloud ecosystems.

Design Engineer Business Analyst with 8+ years of Creo Parametric and SOLIDWORKS experience. Leads CAD system transitions, implements PLM systems, and provides technical support. Requires strong communication and project collaboration skills.

Technical Lead for a new team developing a cloud-native solution for secure database access using C++, Go, and Python. Responsibilities include leading development, creating database connectors, and ensuring low latency for a multitenant solution. Requires experience with C++17, AWS Lambdas, various databases, and strong understanding of object-oriented programming principles.

Senior C++ Developer to build a cloud-native solution for secure database access. Develop and maintain database connectors, ensuring low latency in a multitenant solution. Requires experience with C++17, various databases (SQL and NoSQL), and AWS Lambdas. Strong understanding of object-oriented programming principles and testing best practices. Good English skills (min. B2).

Staff AI Engineers define and lead the technical vision for Relativity's ML platform, guiding projects from concept to production. They drive platform architecture, ensure AI capabilities are secure and reliable, and mentor senior engineers.

Senior Director of Engineering to lead multiple engineering teams responsible for SaaS products and core platform capabilities. Drive product development, partner with Product Management, and build a high-performing engineering team. Requires 15+ years of engineering experience, including senior leadership roles in SaaS or global product companies. Experience scaling organizations and leading teams in Poland or Central/Eastern Europe is preferred.

Agile coach for one or more teams, ensuring adherence to Scrum and SAFe practices. Facilitates Sprint ceremonies, supports Product Owner in backlog management, and removes impediments to improve team performance. Tracks and analyzes Agile delivery metrics.

Executes change management approaches tailored to client environments, including impact analyses, stakeholder engagement, and adoption metrics. Develops communication and learning solutions to support transformation initiatives. Manages project streams from initiation to closure, ensuring successful delivery within budget and timelines.

Fullstack Software Engineer to develop a web application using Python, Vue.js, and SQL/noSQL databases. Responsibilities include frontend development, backend services, database design, and CI/CD pipelines. Requires 3+ years of experience in software engineering with strong JavaScript and Python skills.

Senior Software Engineer to design and deliver complex system components in a high-scale, distributed environment. Requires experience with distributed systems, strong communication, and the ability to drive architectural decisions.

Support and develop an Azure-based data integration solution focused on Azure Data Factory (ADF). Design, develop, and maintain ADF pipelines, including orchestration, parameterization, and trigger management. Translate business requirements into technical solutions, collaborating with the Product Owner and Architect. Develop and maintain Python-based components and contribute to CI/CD processes in Azure DevOps.

Minimum 3 years of commercial experience in . NET (C#, Web API, Entity Framework). Strong experience with relational databases such as SQL Server or PostgreSQL. Solid understanding of Unit Testing, Git, and CI/CD pipelines. Practical knowledge of design patterns and software development best practices. A collaborative mindset and the ability to explain complex technical issues clearly.

Netguru seeks a Senior UI Designer for a 2-month project (B2B contract, up to 35EUR/hour). Requires senior-level expertise in visual UI design, strong visual design fundamentals, experience with design systems, and the ability to create high-fidelity UI designs. This is a UI-focused role, not UX. Must be available to work within CET working hours.

Lead a team of data platform engineers in designing and maintaining data platforms integrating lakehouse technologies, distributed compute frameworks, and cloud-native services. Drive architectural decisions, mentor engineers, and ensure delivery of secure, reliable, and scalable solutions.

Lead end-to-end architecture and technical design of distributed microservices (Python/AWS). Drive architectural decisions around event-driven systems, scalability, reliability, and security. Lead and mentor an R&D team, setting high engineering standards.

Experienced Software Developer in Test needed to design and develop a robust testing framework for backend services. Requires strong experience in test automation, Kotlin or Java, Gradle, JUnit, and GitLab CI/CD pipelines. Must have a solid understanding of API testing, backend services, and Swagger/OpenAPI specifications.

Solutions Architect needed to design and implement complex enterprise solutions using Azure, microservices, and API management. Collaborate with teams to align technology strategy with business goals. 5+ years of cloud solutions architecture experience required.

ML Engineer to design, implement, and own scalable ML infrastructure and deployment pipelines. Build and maintain automated CI/CD pipelines for ML model development, testing, and deployment. Optimize ML infrastructure for cost efficiency and performance.