Top Remote Jobs in Poland

Design, implement, and maintain regression and smoke test automation for card and banking platforms. Build scalable MVP regression packs, run automation suites, analyze results, report outcomes, and collaborate with manual testers, developers, and stakeholders to prioritize automation across integrations and environments.

Execute manual functional and end-to-end testing of card lifecycle processes (issuance, authorization, clearing, settlement). Validate business processes (fees, interest, installments), document evidence, log and retest defects, and support SIT, UAT, regression and programme delivery in banking/payments environments. Fluent Polish required.

Provide business analysis for card migration projects using Visiona: configure the card issuing platform, analyse incidents, gather and document requirements, design processes and functional specs, support testing, and collaborate with architects, developers and testers to deliver card issuing solutions.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Own and operate the International Commercial build engine from data foundation to production AI. Deliver governed data platforms, reusable agentic AI and production-grade engineering via a shared deployable pool, vendor/SI management, platform integration with CIO, AI evaluation/red-teaming, AgentOps, run/BAU, observability, cost control and cross-functional stakeholder alignment to ensure reliable, compliant, and reusable solutions in production.

Lead and grow a high-performing engineering organization to deliver AI-first platforms. Own technical strategy, architecture, delivery, reliability (SLOs/SLIs), AI-augmented workflows, documentation standards, and people development while representing engineering at the executive level.

As a Senior Backend Engineer at DuckDuckGo, you'll lead backend projects, mentor engineers, and develop AI-enhanced features for the company's privacy-centric product line.

Lead design and implementation of map and location quality testing: develop ML and statistical test designs, sampling plans, metrics, data pipelines, and tools; collaborate with stakeholders and present results to internal and external customers.

Design, build, and operate scalable test platforms for synthetic identities, test data seeding, mocking, deterministic validation, and load testing. Improve test signal quality, reliability, observability, and operational maturity. Lead medium-to-large projects end-to-end, write maintainable code, produce async technical artifacts, review designs, and mentor engineers to increase developer productivity and scale testing infrastructure.

The Manager, Sales Assist will lead a team to drive sales and customer growth, coach representatives, and engage with clients using data-driven strategies.

Manage Oracle Financials solutions for Accounts Receivable, Accounts Payable, General Ledger, Payments, and Cash Management. Configure systems, develop test strategies, and execute documentation.

The Senior DevOps Engineer will enhance platform automation, manage infrastructure on AWS, resolve storage incidents, and support CI/CD practices.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

Design and deliver immersive VR scenes for manufacturing reviews, maintain VR lab hardware/software, translate manufacturing use cases into VR workflows, validate producibility and maintainability, develop maintenance and fault-isolation procedures, and provide cross-functional technical support and training.

Design, implement, and operate large-scale, highly-available cloud infrastructure on GCP/AWS. Automate infrastructure and deployments, monitor and respond to incidents, tune cluster performance, support releases, and participate in on-call rotation while collaborating with distributed engineering teams.