Top Remote Jobs in Czechia

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Lead end-to-end product design for native mobile applications and responsive web journeys across European markets. Responsibilities include customer research, journey optimization, design system ownership, accessibility, analytics, experimentation, and collaboration with Product, Engineering, and business stakeholders. The role champions UX and interaction design best practices while delivering measurable improvements to customer-facing digital experiences.

Designs enterprise-grade cloud, data, and AI solutions for airline operations. Responsibilities include assessing technology landscapes, identifying modernization and integration opportunities, translating business priorities into technical architectures, creating solution blueprints and documentation, promoting enterprise architecture best practices, and guiding customer teams through transformation initiatives.

Own the platform architecture and Neo4j strategy for GraphAware Hume, optimizing Cypher queries, graph models, and scalable access patterns. Lead cross-team technical direction, mentor engineers, build secure APIs, and orchestrate graph analytics workflows. Partner with product managers on technical roadmaps, evaluate Neo4j ecosystem updates, and support migrations. The role also involves backend development in Java and Spring, CI/CD, Docker, security, cloud-native practices, and potentially GraphRAG, Kafka, and distributed systems.

Create performance-driven video advertisements for DTC brands across digital platforms. Develop concepts, scripts, edits, motion graphics, subtitles, sound design, and visual effects using Adobe tools and AI. Produce multiple creative variations for campaign testing, analyze performance data, and improve future iterations. Collaborate with creative strategists, designers, copywriters, media teams, and brand stakeholders while managing multiple projects and deadlines.

Owns the technical delivery of customer SaaS implementations from requirements discovery and solution design through planning, coordination, and launch. Partners with customers, Customer Success, Product, Engineering, and QA to translate business needs into technical specifications, implementation plans, project tickets, timelines, and milestones. Manages dependencies, risks, scope changes, stakeholder communication, and customer technical guidance throughout implementation.

Develop and manage customer relationships across an assigned territory, identify new business opportunities, and drive sales growth. The role provides technical product advice, conducts customer visits and demonstrations, executes territory sales plans, monitors market activity, maintains reporting, resolves customer issues, and collaborates with sales and technical teams. This field-based position requires frequent travel and focuses on industrial coating solutions.

Build and lead full-stack growth features across onboarding, monetization, retention, and AI-driven experimentation. Own architectural direction for AI-first product engineering, including agent workflows, scalable codebases, API contracts, documentation, and evaluation systems. Partner with product, design, and data teams to validate ideas quickly, measure outcomes, mentor engineers, and improve learning velocity.

Develop and maintain automated tests for complex, business-critical FX technology applications. Expand coverage across component, integration, regression, and end-to-end testing; execute automated and manual tests; analyze defects and quality risks; collaborate with developers, product, and infrastructure teams; support issue reproduction and fix validation; contribute to solution discussions; and provide testing insights and release sign-off input.

Owns and manages the infrastructure powering secure AI agent deployments. Responsibilities include Kubernetes and Azure environments, Terraform-based infrastructure, MCP servers, access controls, enterprise integrations, GPU provisioning, compute scaling, model training efficiency, cost control, and governed connections to sensitive business systems. The role partners with infrastructure, security, compliance, technical, and business teams to deliver scalable and reliable AI platforms.