Top Software Engineer Jobs in Budapest

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, 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 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.

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.

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.

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 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.

Designs and owns full-stack business solutions for Product Lifecycle Management and Quality Systems. Translates business requirements into domain models, applications, analytics, data structures, and integrations across PLM, ERP, MES, and quality platforms. Uses low-code, object-oriented, cloud, database, and API technologies to deliver scalable systems. Supports configuration and change management, resolves complex system issues, partners with cross-functional stakeholders, and contributes to platform migration and integration strategies.

The role involves designing and implementing cloud-native Java applications, conducting code reviews, mentoring juniors, and collaborating with teams for project delivery.

The Senior iOS Engineer will enhance the Speechify iOS app, participate in key product decisions, and ensure an excellent user experience while working in a fast-paced, remote environment.

Join a team building high-performance systems for research and trading. Design, implement, and maintain reliable software and data pipelines, collaborate with researchers, contribute to testing and monitoring, and optimize performance and developer productivity.

Lead design and deliver end-to-end fullstack features using Angular frontends and C#/.NET cloud-native services on AWS. Mentor engineers, influence architecture, apply AI-assisted tools responsibly, contribute to testing, CI/CD, and cross-team delivery while owning services through production.

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 maintain full-stack features for GE HealthCare’s Imaging Framework within an autonomous Scrum team. Responsibilities include software design, implementation, defect correction, multi-level test automation, regulatory documentation, user support, status communication, and continuous improvement. The role requires strong proficiency in Java, Golang, or C++, JavaScript knowledge, software design experience, and collaboration in a globally distributed healthcare technology environment.

Build and operate Supply & Demand systems: own end-to-end commodity balances, develop data pipelines, backend services and distribution APIs, harden anomaly-detection and data-quality gates, resolve incidents and runbooks, generalize the S&D data model and ETL framework, mentor junior engineers, collaborate with Product/Research/Data, and improve observability and monitoring.

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.

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, build, and maintain scalable data infrastructure and ETL/ELT pipelines (Snowflake, dbt, Airflow). Develop backend APIs and cloud-native services on AWS, collaborate with data scientists and engineers, implement resilient distributed systems, and support the full software lifecycle.