Top Software Engineer Jobs in Hungary

Work on YDB distributed storage and database systems to maximize performance on modern and legacy hardware (NVMe, HDD, DPUs). Reengineer components for low-latency, high-throughput workloads, profile and debug production systems, and design resilient distributed storage primitives. Collaborate on incident resolution and production deployments to support Nebius cloud services.

Develop and maintain embedded software for IPV and tCOM+ systems using C++, Qt, and Yocto. Collaborate on requirements and architecture, refactor legacy code, optimize for performance, and contribute to documentation and regulatory compliance.

Work on Percona's open-source MongoDB operational tools (primarily ClusterSync and also Backup). Build and harden a Go-based replication engine handling initial cloning and continuous change streams, ensure correctness and fault tolerance at scale, support sharded clusters, optimize performance and resource usage, and maintain CLI/HTTP APIs, metrics, logging, tests, and packaging. Collaborate openly via GitHub pull requests and JIRA.

Build and modernize the Knowledge Base end-to-end using agentic workflows. Frame problems, orchestrate and verify agent work, ship features and legacy-modernisation across UI and backend, contribute shared agent/prompt libraries, and mentor colleagues to raise engineering standards.

Lead design and development of automated test frameworks and cloud-based test infrastructure. Write API-level automated functional tests, maintain CI/CD test jobs, perform exploratory and performance/load testing, participate in Scrum, code reviews, observability, root-cause analysis, and collaborate with cross-functional teams to ensure scalability, availability, and reliability of microservice-based systems.

Develop core backend components for a blockchain network, focusing on networking, reliability, scalability, and high-quality software practices.

Develop and enhance front-end, server-side, and database applications, focusing on blockchain products while ensuring high performance and security.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

Develop backend services and APIs, optimize applications, integrate with cloud services, and build user interfaces across platforms. Work collaboratively on an agile team.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

Design and evolve core control, data, and observability systems; implement resilient region-spanning architectures; build libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, and testing; and shape platform capabilities across identity, scheduling, observability, and distributed state management.

Design, implement, and manage LiveKit's infrastructure, focusing on performance, reliability, and automation while ensuring effective incident management and coordination with vendors.

The role involves designing and evolving core systems at LiveKit, implementing resilient architectures, and building tools to enhance system reliability and developer speed. Strong distributed systems experience and programming skills are essential.

Design, implement, and operate low-latency, highly available distributed control, data, and observability systems. Build region-spanning architectures, libraries, protocols, and tooling; diagnose and harden critical paths using metrics, tracing, testing, and real traffic; and shape platform capabilities around identity, scheduling, observability, and distributed state management.

The Senior Software Engineer will design, build, and optimize backend services and Kubernetes operators on multi-cloud platforms, focusing on infrastructure solutions and automation.

As a Senior Software Engineer, you will develop and manage a MongoDB solution on various platforms, ensuring reliability and security while contributing to a small team focused on impactful projects.

The role involves writing high-performance C++ code, implementing trading infrastructure, and collaborating with portfolio managers on new trading systems.

Build and improve Restream’s web interfaces and user-facing features for the AI Clips team. Design UI and business logic, collaborate with product designers, participate in code reviews, improve system reliability, and evaluate emerging technologies. The role requires strong JavaScript and TypeScript expertise, advanced React knowledge, CSS preprocessor experience, and familiarity with backend development, cloud infrastructure, containers, and continuous deployment.

Design, implement, and optimize a real-time, high-performance video analytics pipeline on edge devices. Own custom GStreamer plugins, decoding, batching, inference, tracking, and edge-to-cloud delivery while ensuring low latency, reliability, and observability.

Lead design and ownership of shared libraries, Spring Boot starters, and agentic frameworks. Set standards for agent orchestration, evaluations, and guardrails. Mentor teams on Python-based agents (LangChain/LangGraph), drive adoption, prototype research directions, and improve developer experience across Kotlin backend and client libraries.

Develop and maintain Arista’s Linux-based EOS networking operating system. Responsibilities include writing specifications, implementing C and C++ features, creating automated tests, debugging software, resolving customer network issues, collaborating on routing protocol development, reviewing code, mentoring engineers, and supporting releases and patches.

Senior software engineer responsible for designing, developing, and maintaining business-critical applications. Collaborate with product, QA, DevOps, and stakeholders to translate requirements, implement scalable Java/Python solutions on AWS, address technical debt, improve performance, participate in code reviews, support releases, and ensure application stability and continuous improvement.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.