Top Software Engineer Jobs in Budapest

Design and develop core backend components for a blockchain network using Rust, ensuring reliability and scalability in production-grade software.

The Junior Software Developer will collaborate on a cloud-native monitoring stack, developing features, debugging, and representing Canonical at events.

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.

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.

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.

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.

As a Senior Full Stack Software Engineer, you will develop and maintain web applications, create API specifications, and write tested code while collaborating with various teams.

The Backend Engineer will design and build scalable systems and APIs for enterprise AI products, focusing on performance and deployment across infrastructures. Responsibilities include optimizing backend performance, managing cloud infrastructure, and collaborating with teams to bring GenAI models to production.

Design, implement, and own platform-level networking features close to hardware. Develop and debug C/C++ (and Python) code on Linux for ASIC/FPGA/Network Processor datapaths, collaborate on architecture, test and document features, and support field/customer integration.

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.

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.

The Software Engineer will design and maintain payment processing systems, mentor other engineers, and ensure security in client transactions within the crypto ecosystem.

Build and architect Base360.ai: design and launch booking, pricing, payments, operations, and AI-powered automation. Integrate platforms (Airbnb, Stripe, Twilio, OpenAI), scale systems internationally, and embed AI workflows to automate operations and optimize revenue.

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.

Lead design and development of Linux kernel functionality for BPF, networking, and security, integrating features into Cilium and Tetragon. Collaborate with engineering, product, customers, and the upstream Linux kernel community to shape technical direction, maintain code quality, and deliver scalable cloud-native solutions. The role may also involve presenting work at technical conferences and contributing to engineering best practices.

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.

Design, develop, and maintain high-quality web applications using CodeIgniter and PHP. Collaborate with cross-functional teams to define and ship features, ensure application performance and quality, identify and fix bugs, and maintain code quality and automation.

Build and maintain API integrations and the connectivity platform linking EV chargers, vehicles, and OEMs. Improve reliability, observability, and scalability; develop automations and internal tools for monitoring and triage; define SLAs and alerting; collaborate with product and engineering teams to balance stability and delivery.

Design and implement robust Rust services and libraries for trading, payments, and crypto consumer experiences. Build scalable, low-latency distributed systems, write efficient testable code, ensure security and reliability, debug across the stack, collaborate with product teams, own systems end-to-end, and mentor other engineers.

Develop and maintain resilient, scalable, cloud-friendly server-side systems for the Data Fabric platform. Deliver functionality, improve resiliency and effectiveness, and support data distribution, governance, and integration for prime brokerage data consumers.