The role involves designing and implementing modern applications, co-creating efficient solution architectures, and creating clear project documentation. Responsibilities also include participating in software deployments, collaborating with users to solve problems, presenting solutions to clients, and mentoring junior developers.
Remote Software Development Jobs in Poland (1,488)
Remote in = Poland
Job category = Software Development
The role involves designing and implementing modern AI-based applications, co-creating efficient solution architectures, and developing clear, maintainable project documentation. Responsibilities also include participating in software deployments and collaborating with users to resolve issues.
The role involves designing, developing, and testing scalable solutions within Guidewire’s PolicyCenter system as part of business transformation projects. This includes collaborating with various stakeholders throughout the project lifecycle and supporting clients' IT and business users in digital transformation efforts.
The role involves engineering robust solutions using advanced Python and SQL to capture, process, and scale data pipelines by implementing and maintaining web scrapers. Key duties include improving the scraping platform for data quality and performance, taking ownership of architectural components, and reducing technical debt through code contributions and reviews.
The role involves end-to-end management of Data Loss Prevention (DLP) tools, including designing and supporting new rules while focusing on reducing false positives. Additionally, the analyst will investigate security alerts, perform in-depth analysis of large security datasets, and develop key security metrics and reports for management.
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The role involves developing and maintaining the ML training platform and the bidding infrastructure used to evaluate ML models in production. Responsibilities also include identifying performance bottlenecks, optimizing critical system parts, ensuring scalability, and creating performance tests for new components.
The Senior Java Developer will write highly testable, automatable, and performant code across the full SDLC, adhering to high coding standards and best practices. Responsibilities also include developing the product, delivering features according to the roadmap, reviewing design documents, and coaching junior engineers.
The role involves designing and evolving scalable backend services and APIs, architecting and refactoring legacy components into modular systems, and optimizing high-load systems for performance and reliability. Responsibilities also include leveraging AI tools to accelerate development while maintaining architectural ownership and contributing to cloud infrastructure decisions.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. The engineer will lead the design and development of advanced ML/NLP products from concept through production, including model training, optimization, and deployment.
This role involves designing, developing, testing, and maintaining financial system applications using C# and .NET technologies, while also participating in system design and architecture discussions. Responsibilities include assisting with month-end close, coordinating billing cycles, configuring new billing models, and analyzing large datasets to troubleshoot discrepancies.
The role involves designing, developing, testing, and maintaining financial systems applications using C# and .NET, while also participating in system design and architecture discussions. Key duties include troubleshooting billing discrepancies by analyzing large datasets and assisting with monthly billing cycles and compliance tasks.
The role involves delivering technical support, product demonstrations, and training sessions to customers and partners across Central and Eastern European Countries. The Application Engineer will also serve as a crucial link between field operations and internal teams, sharing insights for continuous solution improvement.
The Okta Sales Engineer is responsible for driving business growth through technical partner enablement, arranging sales activities, and providing technical expertise throughout the sales cycle. This includes conducting compelling product demonstrations, articulating the Okta value proposition, and playing a key role in sales closure based on technical considerations.
The role involves performing diverse data-related tasks to support the improvement of AI-generated content in Polish, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across various content types.
The Tech Lead will be responsible for owning the technical buildout of the product, managing a team of 3-7 engineers, overseeing software architecture and infrastructure, and ensuring technical delivery aligns with client objectives. This involves collaborating with Product Management and Design, mentoring the team, selecting appropriate technologies, and being a hands-on contributor.
The role involves architecting and building agentic workflows that integrate large language models, reasoning components, and data pipelines to create adaptive conversational systems. The engineer will lead the design and development of advanced ML/NLP products from concept through production, including experimentation with new agentic approaches.
The role involves collaborating with cross-functional teams to design and build AI Agentic solutions, contributing to technical requirements definition, and implementing features across the entire software lifecycle. Responsibilities also include owning tasks, delivering high-quality code, managing backend work, and staying informed about AI trends.
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The role involves managing project engineering for external and internal stakeholders, leading design criteria for renewable energy power plants to optimize performance and reduce costs. Responsibilities also include supporting technical aspects of procurement, assessing new investment opportunities, and collaborating across business units throughout the project cycle.
Manager, Data Science (Product Analytics) 96 APPLICANTS
Wikimedia Foundation
·
Full Time
·
14 Weeks Ago
Wikimedia Foundation
The manager will lead a team of approximately seven data scientists, ensuring timely delivery of accurate quantitative data and insights to guide product strategy and assess feature impact. Responsibilities also include people management, mentoring team members on technical skills and critical thinking, and partnering with engineering teams to build accessible data products.
Manager, Data Science (Product Analytics) 62 APPLICANTS
Wikimedia Foundation
·
Full Time
·
15 Weeks Ago
Wikimedia Foundation
The manager will lead a team of approximately seven data scientists, ensuring the timely delivery of accurate quantitative data and insights to guide product strategy and assess feature impact. This role involves people management, mentoring team members on technical skills and critical thinking, and fostering a collaborative and inclusive team culture.
The engineer will design, build, and maintain reliable and performant software systems, taking ownership of features from design through deployment to ensure quality and resilience. They will collaborate with cross-functional partners, participate in architectural discussions, and help shape technical standards and best practices.
The analyst will monitor, analyze, and report on key billing and support performance indicators, while building and maintaining data pipelines for reliable data delivery. They will also apply statistical methods to project scenarios, assess risks, and run A/B tests to evaluate strategies.
The role involves designing and implementing solutions for ERP systems, specifically Oracle E-Business Suite (OEBS), utilizing modern development and testing methodologies. Responsibilities include optimizing existing software solutions and applying design patterns for scalable and secure applications.
The Account Executive will develop and execute a strategic sales plan to achieve revenue goals by targeting high-potential accounts in the AI Infrastructure market, focusing on GPU investment optimization. This role involves engaging directly with customers to understand AI/ML needs, providing strategic consulting, and managing complex sales cycles from discovery through negotiation and closure.
Staff Data Engineer (Reporting & Analytics) (f/m/d) - Kraków (onsite) OR Poland (remote)
Danaher Corporation
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Full Time
·
15 Weeks Ago
Danaher Corporation
The Data Engineer is responsible for building and maintaining analytics-ready datasets optimized for reporting and dashboards across Danaher Opcos, while enabling self-service access through semantic layers, catalogues, and APIs. This role also involves partnering with stakeholders to translate business questions into accurate metrics and ensuring data quality and consistency.
The engineer will be responsible for maintaining and updating Glia's core infrastructure, troubleshooting issues, improving security posture, and implementing infrastructure pipelines and telemetry support. They will also consult other teams on infrastructure topics and work with third-party vendors.
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The engineer will research, develop, and maintain insurance pricing algorithms and proprietary solutions, focusing on fullstack development using TypeScript and Python. Daily work also involves analyzing requirements, proposing solutions, building proofs of concept, and supporting/optimizing existing solutions to meet SLOs.
Full-Stack Developer (Java + React / Next.js)- Poland
RemoteStar
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Full Time
·
15 Weeks Ago
RemoteStar
The developer will be responsible for designing, building, testing, and maintaining scalable full-stack applications using Java for the backend and React/Next.js for the frontend. Key activities include building robust backend services, developing responsive user interfaces, and writing well-tested code using TDD.
The engineer will own ML projects end-to-end, focusing on improving communication activity and monetization, primarily through enhancing recommendation models and developing user value prediction signals. Daily activities include model iteration via offline evaluation and A/B tests, building training/scoring pipelines, and deploying models to production using Docker and CI/CD practices.
The role involves creating engaging technical content across social media, blogs, and YouTube, focusing on Search, AI, and Elasticsearch topics ranging from foundational concepts to LLM releases. Responsibilities include producing short-form content, high-quality videos, and infographics from concept to launch.
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