Top Software Engineer Jobs in Hungary

Build production-grade software and data pipelines for the ID Verification machine learning team. Develop Node.js, TypeScript, and Python services, create versioned training datasets, support ML model packaging and production serving, and translate research prototypes into scalable, tested systems. Collaborate with ML engineers, contribute to technical design and estimation, review code, mentor colleagues, participate in hiring, and ensure sensitive data is handled in compliance with residency and privacy requirements.

As a Backend Engineer, you will build and maintain scalable backend systems, work on significant development tasks, and collaborate with teams to enhance the Wise platform while ensuring code quality and stability.

The Frameworks Software Engineer will build complex backend solutions, maintain code quality, architect abstractions, and collaborate with engineering and product teams.

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.

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.

Design, build, and operate scalable, secure cloud-native messaging and social integrations. Implement message routing, delivery, tracking, analytics, observability, automated tests, and CI/CD. Collaborate with product, security, and operations, participate in on-call rotations, drive reliability and performance improvements, and influence architectural direction while using AI-assisted engineering tools responsibly.

Design and implement backend systems, ETL pipelines, data storage, and APIs for a SaaS platform. Maintain platform availability and improve security, quality, testing, automation, documentation, and features. Support customers and staff, contribute to sprint planning and prioritization, estimate development effort, track project progress, and proactively resolve roadblocks.

Build and maintain high-quality React Native mobile applications for Krak. Own feature delivery from technical design through release and iteration, create performant and maintainable UI components, write tested code, participate in reviews and design discussions, and collaborate with product, design, frontend, and Rust backend engineers. Contribute to shared components, tooling, code quality, and reliable consumer financial experiences.

Develop and maintain ID verification services across Node.js backends, React SDKs and dashboards, Lambda functions, databases, and customer-facing platforms. Design scalable features, optimize performance, write automated tests, review code, mentor engineers, and contribute throughout the software development lifecycle. The role includes modular architecture, microservices, event-driven systems, containerization, Kubernetes, CI/CD, and end-to-end ownership in a hybrid Budapest team.

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.

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 improve scalable Scala and Java middle-tier services for valuation control and finance technology. Design relational, columnar, and NoSQL database entities, collaborate with business and IT teams, own solution delivery, support SDLC processes, improve DevOps tooling, and develop testing strategies for large-scale distributed systems.

Design, implement, and maintain cloud connectors integrating Cloudera's platform with AWS, Azure, GCP. Build scalable data ingestion and synchronization code, lead architecture and design, mentor engineers, perform code reviews, troubleshoot production issues, and document APIs and designs.

Productionize AI-built GTM software prototypes into secure, reliable customer-facing applications. Own hosting, environments, CI/CD, secrets, backups, releases, code quality, monitoring, security, staged rollouts, and integrations across CRM, ERP, and internal data systems. Build context infrastructure for GTM and customer-facing agents, reconcile data across systems, collaborate with product and commercial teams, and contribute to Wingtra’s AI engineering practice.

Develop and support full-stack software infrastructure for automated verification and validation of IoT MCU and wireless products. Build applications, utilities, databases, web tools, and data-analysis solutions; troubleshoot software and assist hardware and IC design engineers. Evaluate technologies, create training materials, communicate across teams, and apply testing, reporting, visualization, and AI-powered tools.

Design and develop scalable backend services with C#/.NET, build RESTful APIs, mentor engineers, and enhance system architecture for healthcare solutions.

Build and architect high-performance advisory brokerage services for block trading, portfolio management, and IRA products. Develop frontend and backend systems, databases, and distributed architectures with strong concurrency, scalability, availability, and low-latency performance. Design order management and financial transaction systems while contributing across the technology stack in an early-stage environment.

Develop and maintain Python and Pytest-based automated tests for embedded Bluetooth Low Energy products. Perform functional and non-functional testing, monitor continuous integration test execution, investigate defects, and improve test coverage. Collaborate with developers, product managers, application engineers, and global QA teams to validate requirements and communicate testing results. Use AI-powered tools to improve coding efficiency.

Build and ship backend services for Primer’s payment orchestration platform, handling routing, fallback logic, tokenization, authentication, and workflows at scale. Deliver features from specification through production, participate in architecture and code reviews, monitor system health, troubleshoot production issues, and collaborate on reliable, maintainable engineering solutions in a remote-first team.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.

Design and operate customer-facing networking APIs, Python orchestration control planes, and automation that configures routers across global points of presence. Build resource allocation, job queues, retries, rollback, reconciliation, BGP, WireGuard, GRE, NAT, firewall, DNS, cloud interconnect, and Envoy xDS integrations. Own production monitoring, incident response, billing synchronization, API compatibility, and network configuration drift detection across application and infrastructure layers.

Build and ship full-stack product features using React, JavaScript or TypeScript, backend services, and REST APIs. Use AI-assisted development tools to accelerate delivery while reviewing, debugging, refactoring, and securing generated code. Collaborate with designers, product managers, and engineers in agile squads, improve frontend performance, participate in code reviews, and maintain strong testing and architectural standards.

Develop, test, deploy, and support high-performance electronic trading platforms. Troubleshoot and optimize production systems for reliability, latency, scalability, and availability. Collaborate with stakeholders and engineering teams to deliver distributed, cloud-ready microservices. Drive automation, observability, site reliability, and platform modernization while applying Agile, DevOps, and SDLC practices.