Top Remote Jobs in Czechia

Lead and mentor a globally distributed engineering team while contributing to coding, architecture, peer reviews, and technical decisions. Design and deliver scalable user-facing systems, promote CI/CD, testing, code quality, and DevOps practices, and improve engineering workflows. Collaborate with product, design, data, and AI specialists to shape roadmaps and integrate personalized learning capabilities. Manage engineers through regular one-to-ones, feedback, and career support.

Develop and maintain web-service features, design backend APIs and business logic, review code, and improve production infrastructure reliability, redundancy, and resilience. The role requires strong programming, database design, web-service API, AWS, Linux, Docker, Kubernetes, and continuous deployment experience, along with communication, analytical, and teamwork skills.

Drive B2B growth by prospecting, negotiating, and closing complex sales of iGaming platforms and services, including White Label, Turnkey, sportsbook, managed trading, API, iFrame, and casino aggregation solutions. Build relationships with operators, aggregators, platform partners, and senior decision-makers; manage the full sales cycle, coordinate internal teams through launch, support account development, and identify new markets and commercial opportunities.

Owns RFID sales growth across Eastern Europe by acquiring new customers, expanding existing accounts, building pipeline, achieving sales and margin targets, monitoring competition, forecasting, and tracking activities in Salesforce. The role requires technical knowledge of RFID transponders, B2B sales expertise, strong negotiation and communication skills, project collaboration, and frequent customer engagement across the region.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

Supports enterprise pre- and post-sales deal operations by managing requests, coordinating Sales, Legal, Finance, and Operations stakeholders, preparing documentation, maintaining Salesforce records, and ensuring timely approvals and execution. The role also identifies process improvements, manages competing priorities, and contributes to team best practices and knowledge sharing.

Develops cybersecurity concepts and requirements for automotive electrification products. Analyzes customer requirements, leads TARA activities, evaluates vulnerabilities and cybersecurity events, and supports ISO 21434-compliant processes, plans, and cybersecurity cases. Works across hardware, software, and systems engineering teams while facilitating cybersecurity culture and negotiating technical solutions with customers and internal stakeholders.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

Own end-to-end global customer implementation projects from kickoff through go-live and handover. Build project plans, establish governance, manage RAID logs, milestones, dependencies, risks, and escalations, and coordinate clients and internal teams across countries and time zones. Lead status and governance meetings, drive accountability, ensure go-live readiness, maintain documentation, and support continuous process improvement.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.