Top Remote Jobs in Czechia

Advise and handle enterprise customer support requests for PlanetScale platform, act as customer-facing SME, identify and escalate product gaps, collaborate with TAM/Engineering/Sales Engineering, and participate in on-call rotation for high-priority incidents.

Own and evolve Castle's iOS and Android SDKs. Design SDK architecture and APIs, collect reliable device and behavioral signals, maintain performance and stability, manage builds/CI/CD, and ensure resilience against tampering across many devices and OS versions.

Lead end-to-end certification for autonomous navigation: author technical dossiers for class approvals, run FMEA/HAZID/HAZOP, map SOLAS/COLREG/IACS requirements into design and JIRA, analyze sea-trial data to build equivalent-safety cases, and maintain live fleet certification across releases.

Design and prototype interactive features for a next-generation code editor, build keyboard-driven workflows and AI-agent interactions, implement UI in the product, and collaborate closely with engineers on performance-focused developer tools.

As a Senior QA Engineer, you will design and implement automated tests, collaborate on test strategies, and enhance testing pipelines while ensuring a user-centric approach in a cloud-native communication platform.

Establish CloudXpresence across EMEA, build strategic publisher partnerships, manage full sales cycle and onboarding, collaborate with product/engineering, provide market intelligence, drive supply growth and shape product roadmap through local feedback.

Lead and scale a distributed engineering organization building Qdrant's cloud platform and core engine. Own product delivery, reliability, security, observability, hiring, and architecture decisions while aligning engineering with product, GTM, and developer community needs.

Lead end-to-end cloud data platform design and delivery for omnichannel retail clients. Split time between pre-sales discovery and architectural oversight during build. Architect AI-ready data foundations (feature stores, embeddings, vector DBs), define ingestion, storage, transformation, modeling, BI and CDP integration, and enforce automation, IaC, CI/CD, testing, and observability. Co-sell and present architectures to technical and executive stakeholders.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Lead SRE efforts to ensure reliability, scalability, and performance of a large-scale platform. Architect observability, define SLOs/SLIs, lead incident response and post-mortems, automate infrastructure and CI/CD, optimize Kubernetes/GCP deployments, debug distributed systems, mentor engineers, and write production-quality Python or Go code.