Top Software Engineer Jobs in Budapest

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

Join Canonical's OpenStack Engineering team to develop and manage Charmed OpenStack and Ceph, focusing on Python code and infrastructure automation.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

The role involves collaborating with a distributed team to develop and debug software for Linux, focusing on high-quality code and system-level issues.

As a Software Engineer, you will enhance Ubuntu's cloud infrastructure, automate image delivery, and collaborate with cloud giants, delivering high-quality software features.

Develop and maintain system-level Go code, model data, and design database schema for cloud infrastructures. Collaborate with a distributed team to ensure code quality.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

The role involves delivering features across the CRM platform for distributors, using AI tools, handling fullstack development tasks, and collaborating closely with teams and customers.

Develop, test, integrate, and support robotic controls software for automated lift trucks in an embedded environment. Responsibilities include vehicle control communication, simulation, requirements development, software and electrical architecture, code and design reviews, supplier leadership, manufacturing support, and mentoring entry-level engineers. The role requires C/C++ development, robotics sensors and SLAM experience, embedded control systems, network communications, and MATLAB/Simulink/Stateflow expertise. Occasional travel may be required.

Lead design and implementation of scalable backend systems for the Mitigation Platform. Collaborate across teams, balance short-term needs with long-term architecture, mentor engineers, drive technical strategy, and document platform capabilities to enable automation and servicing processes.

The Senior Python Software Engineer will develop software for large-scale quantitative research operations, focusing on building scalable platforms and coding in Python and Linux, with optional experience in C++ and machine learning.

Design and scale mission-critical market data services for stocks, options, crypto, and foreign exchange. Responsibilities include architecting backend systems and APIs, maintaining software quality and test coverage, participating in code reviews, and troubleshooting incidents and bugs. The role uses Go and Python with REST, gRPC, WebSockets, SSE, Docker, Kubernetes, Google Cloud, BigTable, Prometheus, Grafana, and ELK.

The AI Software Developer will create AI-driven applications, collaborate with teams, analyze requirements, and design scalable products to solve real-world problems.

Design and build durable, distributed data-streaming infrastructure that decouples process data from Camunda’s live execution engine. Develop customer-facing integrations such as Kafka connectivity, support analytics data consumption at scale, and make architecture decisions around consistency, durability, and storage. Participate in production support and on-call rotations while collaborating with Product, Data Layer, Distributed Systems, QA, SRE, and Support teams. Lead ambiguous, cross-functional engineering initiatives from design through delivery.

Build and maintain Camunda 8 backend data-layer services spanning relational databases and Elasticsearch/OpenSearch. Design scalable storage, query, retention, and streaming systems; improve performance, indexing, and production tooling. Lead engineering initiatives from solution design through delivery, collaborate across teams, provide L3 support, and participate in on-call rotations. Investigate production data issues and contribute to schema evolution, workflow automation, and CI improvements.

Build and own end-to-end features across backend and frontend: design backend services and data models (Python/Django), implement RESTful APIs, create reusable frontend components (TypeScript/React), write tests, participate in code reviews, maintain production reliability and security, and collaborate with product and design.

Design, develop, test, and support embedded software infrastructure for automated verification and validation of IoT MCU and wireless products. Responsibilities include developing drivers, tests, algorithms, utilities, and hardware integrations; debugging software and hardware; supporting engineering teams; evaluating technologies; and collaborating across global engineering groups.

Design, implement, and maintain quantitative trading strategies, pricing models, and automated execution systems for cryptocurrency markets. Build backtesting and market simulation frameworks, collaborate with traders and quantitative researchers, manage real-time strategy configuration and tuning, and analyze performance and market data to identify improvements and alpha opportunities.

Build and maintain hardened Ubuntu-based container images and the automated CI/CD pipelines to build, test, scan, sign, publish, and retire them. Integrate upstream open-source projects, ensure security and cloud-native compatibility, collaborate with cross-functional teams, document and share knowledge, mentor colleagues, and contribute to hiring. Work in a distributed agile environment with occasional travel.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

Contribute to Juju's development, collaborate with teams on distributed systems, debug issues, and enhance cloud automation features.

Software Engineers at QuantCo will design and develop scalable solutions, integrate models into client businesses, and improve products based on client feedback.

As an Ubuntu Core Software Engineer, you will design and implement features for the embedded Linux operating system, maintain boot mechanisms, debug system-level issues, and collaborate with a global team.

Design and develop scalable C#/.NET applications, REST APIs, Angular features, and cloud services for regulated clinical-trial technology. Optimize SQL Server performance, implement automated testing and CI/CD, troubleshoot production issues, contribute to architecture, document solutions, collaborate with Product, QA, and DevOps, and mentor team members while providing technical leadership.

Design and operate the data platform supporting AI products, including data models, storage architecture, APIs, backend services, ingestion pipelines, scoring workflows, and retrieval components. Ensure data correctness, performance, scalability, observability, and reliability across production systems. Collaborate with data scientists, AI engineers, and infrastructure teams to deploy services, resolve production issues, and safely manage schema changes and backfills.