Top Software Engineer Jobs in Budapest

Develop and maintain production web scrapers in Python for SEON’s real-time data enrichment platform. Investigate cross-component issues, work with proxy infrastructure, write comprehensive tests, participate in incident response, and apply reliability, observability, and SRE practices. The role includes code reviews, deployment pipeline work, AI-assisted development, and collaboration with backend, infrastructure, and product teams. Candidates should have 1–2 years of software engineering experience or equivalent project experience, web scraping exposure, and foundational networking knowledge.

Develop frontend and full-stack healthcare software for an oncology team using Angular, TypeScript, C#, and .NET. Build responsive interfaces, backend services, and REST APIs while delivering secure, tested, maintainable code. Collaborate with UX, QA, Product, and engineering teams, participate in design discussions and code reviews, troubleshoot performance issues, and improve engineering practices. Senior developers may take technical ownership, contribute to architecture, and mentor colleagues.

Develop Angular and TypeScript web applications, with optional C# and .NET full-stack responsibilities. Build responsive interfaces, backend services, and REST APIs while maintaining secure, tested, and maintainable code. Collaborate with UX, QA, product, and engineering teams; participate in design discussions, code reviews, troubleshooting, and performance improvements. Senior developers may own technical areas, contribute to architecture, and mentor colleagues.

Supports software application development and testing while gaining hands-on experience across front-end, back-end, full-stack, and test automation areas. Responsibilities include writing and testing code, participating in Agile ceremonies, collaborating with technical teams, documenting work, and learning development tools, frameworks, and quality practices under mentorship.

Build and maintain a scalable React component library and design system integrated with a custom CMS. Deliver accessible, responsive, pixel-perfect interfaces, establish frontend architecture and coding standards, document reusable components, optimize performance and developer experience, and mentor engineers. Collaborate closely with design, product, marketing, and engineering teams across multiple fast-moving initiatives.

Develop and maintain scalable full-stack customer platform features using Node.js, TypeScript, React, NestJS, REST, and database technologies. Design modular systems and microservices, optimize performance, write automated tests, review code, improve architecture, and contribute throughout the software development lifecycle. Mentor engineers, collaborate in cross-functional Agile teams, support continuous delivery, and help evolve SEON’s fraud prevention and customer-facing applications.

Develop and maintain a Java-based web application using Agile Scrum or Kanban. Responsibilities include feature development, bug fixing, reusable and scalable code design, collaboration with product, support, and QA teams, and demonstrating completed features to internal and customer audiences. The role requires full-stack experience with Java, Spring, Angular, TypeScript, databases, Git, and continuous integration, with additional exposure to web security, testing, documentation, and business analysis.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Design, implement, and scale Rust services and libraries for trading, payments, and crypto. Build reliable, high-performance distributed systems, collaborate on architecture, write testable async network code, and own production systems end-to-end.

Develop and maintain Linux kernel and BIOS software for Arista hardware products and EOS. Responsibilities include kernel feature development, upstream integration, CPU and BIOS vendor integration, hardware bring-up, debugging, performance tuning, project ownership, and customer interaction. The role requires strong C/C++ and Python experience, software engineering fundamentals, troubleshooting ability, and solution design skills.

Lead backend engineering for GEO products that analyze and improve brand visibility across AI-powered search platforms. Responsibilities include architecting LLM integrations, evaluating AI-generated results, and ensuring observability, testing, cost efficiency, resilience, and graceful degradation. The role provides technical leadership, guides delivery, assesses emerging AI technologies, and partners with Product and Engineering to build scalable backend solutions.

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.

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Design, develop, and maintain scalable, highly available backend services. Collaborate with product and UX teams to build secure, reliable features, perform code reviews, troubleshoot production issues, and own features end-to-end from design through deployment.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Develop and enhance Java-based Risk IT applications supporting regulatory reporting and risk analysis. Collaborate in an international Agile squad, work with large datasets, design distributed data processing solutions, apply DevOps practices, and improve tooling for Risk Management business processes. The role requires Java, SQL, application and data-model design, analytical problem-solving, and willingness to learn. Experience with automated testing, large-scale databases, cloud technologies, and Python is advantageous.

Build and operate developer experience infrastructure, including AI-assisted code review, CI/CD deployment gates, security and quality checks, shared engineering data layers, and audit logging. Measure pipeline performance, reduce false positives, support adoption across engineering teams, and create documentation and runbooks. The role requires extensive CI/CD, developer tooling, security scanning, data modeling, and production LLM workflow experience.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop production AI capabilities including LLM features, agents, retrieval-augmented generation, embeddings, and tool calling. Own features through requirements, testing, deployment, monitoring, and support. Apply secure coding practices, write automated tests, contribute to CI/CD, and collaborate across engineering, product, and security teams while developing expertise in cloud, AI, and agentic technologies.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop generative and agentic AI features using LLMs, retrieval-augmented generation, embeddings, and tool calling. Own development through deployment and support, write automated tests, contribute to CI/CD and monitoring, and apply secure coding practices across APIs, identity, secrets, and vulnerabilities.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop production AI capabilities including LLM features, agents, retrieval-augmented generation, embeddings, and tool or function calling. Own features through testing, deployment, monitoring, and support while applying secure coding practices. Contribute to automated testing, CI/CD, vulnerability remediation, and reliable production operations. Collaborate across engineering, product, and security teams while developing expertise in cloud, AI, and agentic technologies.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop production AI capabilities including LLM features, agents, retrieval augmented generation, embeddings, and tool calling. Own work from requirements through deployment and support, while applying secure coding practices, automated testing, CI/CD, monitoring, and vulnerability remediation. Collaborate across engineering, product, and security teams while continuously developing expertise in cloud, AI, and agentic technologies.

Develop and modernize the Market Risk platform using Java, Spring, and relational databases while supporting business-as-usual requests and production operations. Architect scalable, secure solutions; maintain and optimize applications; implement unit testing and engineering best practices; and contribute to technical strategy, code reviews, design discussions, and technology adoption. Mentor junior and mid-level engineers, collaborate with global stakeholders, and use automation and AI tools across development, validation, and deployment.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop production AI capabilities including LLM features, agents, retrieval-augmented generation, embeddings, and tool calling. Own development from requirements through deployment and support, write automated tests, contribute to CI/CD and monitoring, and apply secure coding practices across APIs, identity, secrets, and vulnerabilities.

Build and maintain secure cloud-native microservices and REST APIs on AWS and Kubernetes. Develop production AI capabilities including LLM features, agents, retrieval-augmented generation, embeddings, and tool calling. Own features from requirements through deployment and support, while implementing secure coding, automated testing, CI/CD, monitoring, and vulnerability remediation. Collaborate across engineering, product, and security teams while growing expertise in cloud, generative AI, and agentic technologies.