Top Software Engineer Jobs in Prague

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

Join a remote EU-based game studio talent pipeline as a senior C++ engineer working in custom engines or UE5. Maintain and develop game features and tools, collaborate across disciplines, and regularly debug, profile, and optimize code. Candidates may be contacted for future openings and will complete a technical test.

The role involves developing and maintaining IPv6 networking features in enterprise router firmware, ensuring compatibility, conducting performance tuning, and collaborating with teams for IPv6 roadmap.

Design and implement backend business logic and orchestration for AI coding agents, integrate agents with product surfaces, external APIs and CLIs, build highly concurrent asynchronous workflows, improve context handling and failure recovery, collaborate with product and ML teams, and own technical design and code quality.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Own architecture and long-term direction of the classification and discovery layer: correlate telemetry into graph topologies, perform entity resolution and deduplication, associate metrics/logs to entities, and drive a streaming-first topology materialization with Memgraph and Kafka.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Architect and build production AI-powered HR systems using agentic workflows, multi-agent systems, APIs, and workflow automation. Integrate Workday and other HR tools, implement governance, audit logging, privacy controls, and human approval gates, and ensure reliable payroll-adjacent workflows. Document solutions, train People team users, drive adoption, and measure automation impact. The role requires strong software engineering, AI application development, HR technology, Workday, data privacy, and workflow automation experience.

Senior software engineer responsible for designing, developing, and maintaining business-critical applications. Collaborate with product, QA, DevOps, and stakeholders to translate requirements, implement scalable Java/Python solutions on AWS, address technical debt, improve performance, participate in code reviews, support releases, and ensure application stability and continuous improvement.

Design, build, and maintain core reliability components (rate limiters, DB migration tools, circuit breakers, distributed caches). Troubleshoot production incidents, optimize PostgreSQL, ensure distributed system performance, create reusable resilience tooling, and promote reliability best practices across engineering teams.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Design, build, and maintain Myriad's cloud infrastructure and CI/CD systems. Solve complex DevOps and cloud migration challenges, provide tooling and platform support for engineering teams, and optimize enterprise architectures for scalable deployments.

Design, implement, test, and maintain full‑stack software across backend and frontend. Participate in full product lifecycle, review peer code, create documentation, collaborate globally, and help drive strategic goals.

Design, build and maintain backend services and data pipelines; drive technical design and implementation; ensure product and technical excellence through testing, performance tuning, instrumentation, and automation; collaborate across global teams and lead projects in distributed, large-scale systems.

Own end-to-end architecture and roadmap for a network monitoring product: API and UI, topology and dependency modeling, discovery/onboarding, alert history screens, data contracts with telemetry/classification services, performance-focused topology visualizations, cross-team technical leadership, and mentoring.

Lead development of AI-powered, real-time travel features (automated check-in, disruption handling, baggage/seating). Own end-to-end solutions, write maintainable code, implement robust testing, collaborate cross-functionally, iterate quickly on production services, and use product/data metrics to shape high-impact features.

Build and ship browser-based 3D interactive features using React, Three.js, and WebGL; integrate frontend with a C++ computational backend on AWS; use AI tools (Claude Code) to accelerate development; prototype AI-powered product features; and collaborate with clinical scientists, UX, ML engineers, and QA.

Build foundational agent infrastructure for an AI assistant: orchestration, tool execution, context management, evaluation, and trust/permissions. Ship reliable, observable, and secure backend systems, launch agentic features, own core infrastructure, participate in on-call, and mentor others.

Design, build, ship, and maintain end-to-end product features across frontend, backend, and data layers. Own projects from definition through production, improve reliability and scalability, collaborate with product and design, mentor engineers, and engage with customers to solve real user problems.

Lead optimization of concurrent systems, scale backend microservices, and collaborate with developers and engineers on deployment for retail solutions.

The role involves driving the plugin development ecosystem, re-architecting core subsystems, and managing deprecation processes for the IntelliJ Platform API.

Maintain and improve core platform reliability by investigating and resolving critical functional and performance issues, building features and tooling to prevent recurrence, collaborating across teams to resolve complex incidents, and designing AI agents to automate root cause analysis and incident response.