Top Software Engineer Jobs in Budapest

Design and improve Elasticsearch distributed systems for scale, performance, and resilience. Work on cluster coordination, indexing, allocation, replication, and debugging concurrency and performance issues. Own projects end-to-end and support engineering teams with complex, multi-node problems.

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.

Design and implement core Web3 protocol features and secure smart contracts in Solidity. Integrate blockchain solutions with cross-functional teams, ensure scalability and performance, stay current on EVM internals, conduct code reviews, and mentor junior engineers.

Design and implement a video processing engine, develop a cross-platform rendering engine, integrate systems, and optimize performance while collaborating with other engineers.

Design and build key features for an AI coding platform, focusing on user experience and product growth in a collaborative environment.

Be the hands-on technical owner of the LiteAPI product: design, implement, and operate backend/API infrastructure, lead technical decisions, work closely with product, stakeholders, and customers, and mentor engineers while shipping high-impact features in a fast-moving startup.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

Develop core backend components for a blockchain network, focusing on reliability and scalability, mainly using Rust. Ensure code quality through testing and debugging.

Lead design and implementation of core backend services for high-performance distributed systems. Own technical decisions, build for scale, write well-tested code, use modern practices (BDD/TDD), collaborate cross-functionally, conduct code reviews, and produce internal documentation.

The Senior Software Engineer will design and develop high-quality web and mobile applications, ensuring code quality while collaborating with product teams and mentoring junior engineers.

The Senior Full-stack Engineer will design and build features in TypeScript, driving projects with a product mindset and collaborating in a dynamic startup environment.

The Staff Software Engineer will lead technical direction, improving system design and mentoring others while writing code and collaborating across teams for a cloud-based generative coding platform.

As Principal Software Engineer / Technical Lead, you will direct product architecture, lead AI integration in engineering processes, mentor engineers, and enhance system design in cloud-native environments ensuring security and cost-efficiency.

Develop and maintain scalable backend services using Graph features; optimize systems performance and security; mentor team members; ensure compliance and quality standards.

Build foundational agent infrastructure for LLM-driven developer assistant: orchestration, tool execution, context management, evaluation, and trust/permissions. Ship reliable, observable backend systems, own core infra, participate in on-call, and mentor peers while launching agentic features to customers.

Design, build, ship, and own end-to-end product features across frontend, backend, and data. Translate ambiguous product requirements into reliable, well-tested systems; deploy, monitor, and maintain production services; participate in design and architecture, code reviews, and mentor peers while working closely with product and design teams.

Design and implement core cloud platform services, control-plane components, and internal APIs. Build platform abstractions and production-grade Go tooling, drive architectural initiatives (gRPC, eventing, cluster-api), improve scalability and developer experience, and support production incidents when needed.

Join the Kubernetes product team to design and implement Kubernetes operators and addons, write high-quality Golang and Python code, debug issues, collaborate with a distributed team, mentor colleagues, and contribute to open-source integration and lifecycle management. Travel 2–4 weeks yearly for team events.

Build and maintain a distributed, fault-tolerant, high-performance block and filesystem storage system. Work on virtualization (virtio-blk, virtio-fs, QEMU, vhost-user), high-throughput VM-to-storage networking (TCP, RoCEv2/RDMA), and core storage features like replication, consensus, self-healing, and data migration. Debug and optimize performance-critical I/O paths while writing reliable, maintainable code in a collaborative team environment.

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.

Design, build, and deploy large-scale distributed systems and high-throughput data pipelines. Lead architecture and technical initiatives, ensure performance, resilience, and SLAs, contribute production-quality code, and mentor engineers while collaborating with product and R&D leadership.

Design, build, and operate large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies. Lead architecture, performance optimization, reliability SLAs, and code quality. Drive technical roadmap, mentor engineers, reduce technical debt, and collaborate with product and engineering teams.

Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies. Lead architecture decisions, ensure performance and resilience, contribute high-quality code, reduce technical debt, and mentor engineers while collaborating with product and engineering teams.

Design, build, and own large-scale distributed systems and high-throughput data pipelines. Lead architecture, improve performance and resilience, reduce technical debt, contribute code, and mentor engineers while collaborating with product and R&D.