Top Software Engineer Jobs in Budapest

Develop and maintain integration and orchestration software for network rollout systems. Responsibilities include full software development lifecycle ownership, coding, testing, documentation, releases, integrations, and bug resolution. The intern will work with Python, Go, JavaScript, MongoDB, Docker, Kubernetes, AWS, APIs, microservices, cloud technologies, and event-driven architectures in a collaborative Agile team.

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.

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.

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.

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 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.

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 writing automated tests, contributing to CI/CD and monitoring, and applying secure coding practices. Collaborate across engineering, product, and security teams while growing expertise in cloud, AI, and agentic technologies.

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

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 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 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.

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 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 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.

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.

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.

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.

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.