29 Software Engineer jobs in Hungary available for remote work from home. Apply for positions such as Software Engineer III, Backend - Protection, Software Engineer, Platform - Budapest, Hungary, Software Engineer, Data Infrastructure & Acquisition - Budapest, Hungary and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will own end-to-end features for dispute automation and build components for the native rules and signals engine. Additionally, you will contribute to fraud vendor integrations and improve how merchants manage threats at scale.
The role involves designing, developing, and maintaining robust backend APIs for payments, subscriptions, and text-to-speech services. You will also collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for AI products.
You will design, develop, and maintain the platform using PHP while creating technical documentation and delivering secure, performant code. Additionally, you will coach other engineers through code reviews and architecture discussions to ensure system stability and maintainability.
You will own the end-to-end development of payment recovery infrastructure, billing integrations, and data ingestion pipelines. You are expected to make architectural decisions and ship reliable solutions independently within a distributed team.
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You will own features end-to-end, working directly with the CEO to turn ambiguous ideas into concrete products. You are expected to challenge assumptions, push back on PRDs, and build high-quality user experiences.
The Senior Software Engineer will build and maintain foundational services and SDKs that power the Speechify product experience. They will collaborate with product teams to scope projects and optimize functionality through efficient abstractions and algorithms.
You will design, implement, and maintain quantitative trading strategies and pricing models to drive profitability. Additionally, you will develop backtesting frameworks and collaborate with researchers to translate trading ideas into production-ready code.
The software engineer will be responsible for designing, developing, and testing reporting and dashboard solutions while supporting data modeling and business analysis. They will also define dimensions and facts within the semantic layer to ensure high-quality data output.
You will own and deliver technical projects within the D2C domain, designing scalable systems and setting technical standards for your squad. Additionally, you will mentor junior engineers and lead the adoption of AI-native development practices to improve team efficiency.
You will build and ship frontend features for the merchant onboarding and platform experience using React. You will also contribute to the Python backend and collaborate closely with the design team to improve the merchant experience.
Design, develop, and test highly scalable and reliable microservices while taking ownership of features from design to deployment. Stay current with industry trends and recommend new technologies to ensure compliance with global regulations like PCI, HIPAA, and GDPR.
Design and implement backend microservices in Python and TypeScript to streamline CI/CD pipelines and automate deployment environments. Monitor and optimize distributed systems to ensure high availability, reliability, and scalability for global services.
Design and implement scalable backend services and APIs to power autonomous procurement workflows. Build and optimize high-performance user-facing web experiences and mentor junior developers to maintain engineering excellence.
Lead the design and development of shared libraries, Spring Boot starters, and agentic frameworks to enable internal teams to build AI agents. Mentor product teams in Python-based AI development and establish standards for agent orchestration, evaluation, and guardrails.
Design and optimize a high-performance, real-time video analytics pipeline using NVIDIA DeepStream and GStreamer. Own the performance, reliability, and observability of the pipeline from edge hardware to cloud delivery.
Lead the design and evolution of a globally distributed messaging platform using microservices architecture to support real-time interactions. Drive system reliability, observability, and technical strategy while mentoring engineers and ensuring global security compliance.
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Design and implement production-grade GenAI solutions, AI agents, and RAG systems to automate complex business processes. Collaborate with stakeholders to translate business problems into scalable AI products while maintaining evaluation pipelines and guardrails.
Design and implement production-grade GenAI solutions, AI agents, and RAG systems to automate complex business processes. Collaborate with stakeholders to translate business problems into practical AI applications and maintain the underlying automation workflows.
Design and implement production-grade GenAI solutions, AI agents, and RAG systems to automate complex business processes. Collaborate with stakeholders to translate business problems into practical AI applications while maintaining reliability and observability.
Design, build, and maintain scalable backend services and REST APIs for an AWS-hosted SaaS platform. Collaborate with cross-functional teams to ensure operational readiness and troubleshoot production issues.
The Principal Software Engineer will lead the design and implementation of complex software solutions and cloud-native media services. They are responsible for guiding technical strategy, mentoring engineering staff, and ensuring high performance and scalability across enterprise telephony systems.
Design and build distributed systems that autonomously manage Kubernetes infrastructure at scale. Write production-grade Go services to interact with cloud provider APIs for real-time resource management.
Design, build, and operate backend services, Kubernetes operators, and controllers in Go across major cloud platforms. Solve complex infrastructure-layer problems including networking, scheduling, storage, and container runtime internals.
The role involves software development under Agile methodologies, including feature development and bug fixing. You will collaborate with various teams and showcase developed features to stakeholders.
You will lead the design and development of scalable test automation for a microservices-based platform while utilizing AI to enhance test coverage and efficiency. Additionally, you will collaborate with cross-functional teams to define test strategies, troubleshoot complex technical issues, and ensure high-quality software delivery.
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You will lead the design and development of automated test frameworks and cloud-based infrastructure to ensure software quality and platform reliability. Additionally, you will collaborate with cross-functional teams to perform root cause analysis and maintain observability across microservices.
The role involves implementing and customizing Gherkin statements in Java using the Selenium framework, as well as supporting testers in testing SOAP and REST-based web services. Additionally, the engineer will develop and implement test frameworks and tools for automated testing.
Lead AI-assisted software engineering activities by designing repeatable SDLC patterns for complex cloud software stacks. Evaluate and operationalize AI development platforms and coding agents while coaching engineers on their safe and effective use.
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