Top Software Engineer Jobs in Hungary

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 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.

Provides technical leadership for Python-based AI backend platforms supporting LLM integrations, generative AI pipelines, and agent orchestration. Architects scalable AWS systems using FastAPI, Lambda, and EKS; establishes observability and engineering standards; drives performance, security, and reliability improvements; mentors engineers; and influences organization-wide technical strategy, platform capabilities, and best practices.

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.

Build and maintain scalable Python-based data platform services using SQL, AWS, REST APIs, microservices, and cloud-native technologies. Design backend architecture, integrate multiple systems, develop and test features, collaborate with product and engineering leaders, document technical solutions, and improve engineering processes. The role supports data warehouses, data lakes, event-driven architectures, AI initiatives, and modern development workflows.

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.

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.

Build and operate backend services supporting millions of emails. Own features end to end, design reliable distributed systems, scale APIs and databases, manage cloud infrastructure, improve observability and deployments, and participate in on-call rotation. Collaborate with customers and support to improve the product, strengthen engineering quality, and deliver complete experiences across the stack.

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 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.

The Software Engineer will design, develop, and maintain backend APIs and oversee the full backend API landscape while collaborating with cross-functional teams on product strategy.

Develop and maintain Java applications supporting market risk, design scalable solutions, optimize relational database queries, improve application performance, support production environments, and contribute to technical roadmaps. The role includes code reviews, testing, automation, stakeholder collaboration, mentoring engineers, and exploring AI agents throughout development, validation, and deployment.

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.

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.

Develop and optimize software solutions for industrial additive manufacturing in an agile team. Responsibilities include designing algorithms, data structures, and software subsystems; debugging complex issues; benchmarking and improving performance, stability, efficiency, and scalability; and contributing to software quality and documentation. The role uses Vue.js, TypeScript, Python, C++, MongoDB, Docker, and automated development tools.

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.

Develop and enhance Java-based risk applications in an international Agile/Scrum team. Design distributed data-processing and calculation solutions for large datasets, write complex SQL queries, contribute to application and data model design, and apply DevOps practices. Collaborate with business and IT stakeholders to deliver technology solutions supporting efficient processes and regulatory requirements.

Lead design, development, and deployment of scalable AI-powered customer-support automation, including Java microservices, Kafka pipelines, intent detection, routing, RAG, LLM workflows, and AI-agent integrations. Build solutions with AWS Bedrock, improve platform reliability and performance, collaborate on conversational experiences, and mentor engineers.

Develop, test, deploy, and maintain full-stack SaaS software. Integrate LLM APIs and external services, troubleshoot and improve existing systems, collaborate with product and design, and produce technical documentation.

Develop and maintain secure, performant PHP software for a high-volume loyalty management platform. Responsibilities include writing technical specifications, documenting requirements, debugging production issues, improving system stability, modernizing legacy systems, participating in architecture and code reviews, coaching engineers, and improving AI-assisted engineering practices. The role is fully remote and requires collaboration in an agile environment, ownership, problem-solving, and the ability to clarify ambiguous requirements into actionable roadmaps.