Top Software Engineer Jobs in Hungary

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 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.

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.

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 front-end experiences and backend services for integrating prediction markets into MetaMask. Develop scalable APIs, real-time data feeds, transaction signing, and secure on-chain protocol integrations. Optimize performance, security, and high-volume transaction throughput across mobile, web, and browser clients while collaborating within an agile, distributed engineering team.

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.

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.

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.

Owns the design, development, modernization, deployment, and operation of production software systems. Responsibilities include incrementally decomposing monoliths into scalable services, maintaining API and data compatibility, improving reliability and performance, implementing automated testing, operating AWS cloud services, monitoring production systems, participating in 24/7 on-call, and using AI-assisted development tools.

Build and operate the inference API platform powering AI services at global scale. Own distributed systems, datastores, observability, analytics, billing, usage metering, role-based controls, and CI/CD. Diagnose performance issues using query profiling and flame graphs, optimize reliability and latency, and deliver features end-to-end from design through production rollout. Collaborate directly with product and engineering teams in a fast-paced, ambiguous startup environment.

Manage end-to-end software maintenance and subscription renewals for assigned customers. Build customer and partner relationships, prepare renewal quotations, monitor CRM pipelines, identify renewal risks, and develop retention strategies. Collaborate with sales and account management teams on upsell and cross-sell opportunities, resolve renewal inquiries, maintain compliance, achieve renewal targets, and improve customer-facing processes. Fluent German and English communication is required.

Design and build distributed Go systems that autonomously manage Kubernetes infrastructure and cloud resources at scale. Own features end to end, debug complex production issues, integrate with AWS, GCP, and Azure APIs, and work with Kubernetes internals, time-series data, observability, CI/CD, and cloud-native tooling. Collaborate across teams, influence product direction, and participate in on-call rotations where required.

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.

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.

Design, build, and operate internal platform systems supporting CI/CD, GitOps, observability, local development, Kubernetes, and cloud infrastructure. Improve developer productivity through paved roads, self-service tooling, and reliable deployment workflows. Debug complex production issues, optimize performance, contribute to the platform roadmap, and participate in on-call rotations.