Top Software Engineer Jobs in Prague

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Principal Software Engineer responsible for architecting and delivering scalable GitHub Actions infrastructure. Leads technical execution, system design, API development, testing, mentorship, roadmap planning, security isolation for untrusted code, and operational excellence. The role involves distributed systems, microservices, cloud infrastructure, CI/CD at scale, incident response, monitoring, and cross-functional collaboration.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Develop and ship Android POS applications in Kotlin for restaurant environments. Build end-to-end features, integrate REST APIs, write tested and maintainable code, and contribute to architecture, performance, CI/CD, releases, and code reviews. Collaborate with product, design, and engineering teams, work independently on medium-sized features, mentor junior developers, and use AI-assisted development tools. Backend, database, cloud, container, and agile experience are advantageous.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Design, develop, and operate highly scalable distributed services and data/ML infrastructure on Azure and Kubernetes. Lead architecture, security, reliability, deployment, monitoring, incident response, code reviews, and cross-team delivery. Mentor engineers and improve operational excellence while building secure, performant, compliant systems for Microsoft communication platforms.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Design, build, and maintain high-performance Java backend services for Azul Optimizer Hub. Develop APIs, protocols, data storage, distributed components, observability tools, and real-time optimization engines communicating with JVMs across cloud and on-premises environments. Diagnose complex production issues, conduct performance analysis, create benchmarks, participate in design reviews, and improve scalability, concurrency, and low-latency performance.

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Develop and operate high-volume data pipelines processing real-time tracking, imports, transformations, and exports. Build reliable ETL systems using Python, Go, cloud data services, Kubernetes, and distributed processing technologies. Improve throughput, monitoring, autoscaling, and production reliability; support services handling tens of thousands of requests per second; review peer code; collaborate on complex projects; and eventually participate in on-call rotation.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Design, build, and scale a Kubernetes-based internal platform for managed cloud products. Develop highly available and fault-tolerant production services using Kubernetes and cloud-native technologies, contribute to enterprise platform roadmaps, integrate infrastructure technologies, establish engineering best practices, mentor teammates, and collaborate across Agile engineering teams.

Design and implement large-scale browser-based rendering infrastructure to execute and extract structured content from JS-heavy web apps. Improve rendering quality, performance, cost, and throughput at internet scale and productionize rendering research.

Build and own React Native features for Kraken’s consumer mobile app, from product discovery through launch, measurement, and iteration. Partner with Product and Design to create responsive, trustworthy financial experiences using dynamic or real-time data. Guide development for a new Asian-market app, including regional UX, connectivity restrictions, vendors, and telemetry. Contribute to architecture, performance, reliability, code reviews, and product engineering standards.

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.

Own the architecture and delivery of customer-facing Rust backend services for trading, payments, and crypto experiences. Lead ambiguous, cross-team initiatives from concept through launch, shape product roadmaps, mentor engineers, review designs, and establish engineering standards. The role requires deep expertise in asynchronous Rust, distributed systems, RPC, Kafka, and event-driven architectures, plus an AI-first development approach and strong product engineering mindset.

Build and operate backend pricing systems for real energy contracts. Responsibilities include designing the Pricing API, consolidating pricing logic, improving quote speed, implementing error handling and observability, creating alerting, explaining pricing failures, and supporting live incidents. The role requires production Python backend experience, FastAPI, SQL, data-heavy systems, end-to-end project ownership, and AI-assisted development workflows.

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.

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

Develop and enhance MetaMask social and multi-chain experiences across Portfolio, browser extension, and mobile platforms. Collaborate across teams on complex projects, mentor engineers, and build scalable full-stack applications using React, React Native, modern JavaScript, blockchain technologies, APIs, testing, and continuous integration. Ensure cross-platform compatibility and apply web security best practices.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Design, develop, test, and operate high-throughput distributed data processing services connecting edge devices with the cloud platform. Collaborate with product managers on scalable architecture, improve performance, security, and cost efficiency, and maintain reliable CI/CD automation. Resolve complex integration issues across legacy and modern components while ensuring high availability. The role requires strong Java or Kotlin backend expertise, cloud and Kubernetes experience, distributed systems knowledge, Linux proficiency, and basic networking fundamentals.