Top Software Engineer Jobs in Czechia

As a Software Engineer on the Data Pipeline team, you will build and operate data pipeline components, develop code in Python and SQL, troubleshoot issues, and collaborate with cross-functional teams.

The Full-Stack Software Engineer will design, build and maintain web applications, develop APIs, enhance system performance, and collaborate with cross-functional teams for product development.

Design and build scalable web applications, lead technical initiatives, define system architecture, and mentor engineers while collaborating with product and design teams.

The Senior Full-Stack Software Engineer will design and build scalable web applications, develop APIs, mentor engineers, and improve engineering practices.

The Senior Software Engineer will lead the architecture and development of real-time systems in the Zeta Marketing Platform, collaborating with teams to create scalable solutions and mentor developers.

Design, build, and integrate AI-powered features into 8am products. Collaborate with product, engineering, and data teams to prepare data, develop and deploy LLM-based services, write Python code, and build reliable, scalable AI infrastructure and monitoring.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

The Software Engineer will develop and maintain backend services, including APIs for payments, subscriptions, and analytics, focusing on performance and collaboration with teams.

The role involves managing data collection for AI model training, operating cloud infrastructure, and collaborating with the AI team to enhance datasets.

As a Software Engineer, you'll develop software for Ceph and distributed storage, collaborating with a global team to enhance cloud solutions.

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

The Backend Engineer will design scalable infrastructure for AI research tools, collaborate on optimizing system performance, and own evaluation pipeline automation.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Design and build scalable backend systems for PlanetScale's database platform (Vitess/Postgres), collaborate on distributed systems challenges, work autonomously and with customers, optimize performance, and mentor engineers while operating systems at production scale.

Develop and maintain ABAP solutions in S/4HANA Cloud, own features and interfaces, integrate SAP with Make/Node/Python/Retool and the data warehouse, work directly with Finance stakeholders, investigate root causes, and learn modern SAP patterns (RAP, BTP, Released APIs).

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

Design, develop, test, and integrate embedded robotic control software for lift trucks. Create system and component requirements, simulate and verify software, collaborate globally on electrical and software architectures, support manufacturing and aftermarket, lead code/design reviews, mentor junior engineers, and liaise with technology suppliers to ensure quality, reliability, and performance.

Build and maintain backend integrations and production features for Enode's Connect platform. Work on Node/TypeScript and AWS-based services to support EV charging and home energy systems, collaborate with product and commercial teams, debug and improve services, participate in code reviews, and translate customer needs into reliable technical solutions.

Build and iterate on practice-first learning experiences and AI tutor features. Contribute to architecture, review code, debug and unblock teammates, and collaborate closely with Product and Design to deliver high-quality learning products.

Lead full‑stack development of high‑traffic public websites, integrate AI tooling into the SDLC, design scalable backend and performant UIs, maintain cloud infrastructure, CI/CD, monitoring, and testing, and own services under a you‑build‑it‑you‑run‑it philosophy.

Build and operate services and tooling that automate network lifecycle, make network changes safe (CI/CD, rollouts, audit trails), develop scalable observability and telemetry, integrate network source-of-truth with platform APIs, and collaborate with network engineers and SREs to turn operational pain into production-grade automation.

Design, implement, and operate scalable, multi-cloud distributed infrastructure and core services (TypeScript, Kotlin, Go). Optimize compute, storage, networking, and observability; support event-driven architectures; own end-to-end deployment and production reliability; implement disaster recovery and business continuity; collaborate with engineering, AI and security researchers to enable high-velocity product development.

Develop and maintain the JetBrains Runtime to ensure IDEs run fast and render well. Provide low-level support for UI frameworks (Swing, Compose for Desktop), work on OpenJDK projects, implement hardware-accelerated rendering (Metal/Vulkan/OpenGL/D3D), fix JBR issues, and optimize/refactor cross-platform system UI code for Windows, macOS, and Unix.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.