Top Software Engineer Jobs in Hungary

Build and maintain developer tools across SDKs, React Email, CLI, MCP, integrations, and supporting backend services. Collaborate on APIs, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable interfaces, error handling, and backward-compatible experiences. The role also involves operating systems with authentication, retries, rate limits, queues, monitoring, and error recovery.

Develop and maintain a Java-based web application using Agile Scrum or Kanban. Responsibilities include feature development, bug fixing, reusable and scalable code design, collaboration with product, support, and QA teams, and demonstrating completed features to internal and customer audiences. The role requires full-stack experience with Java, Spring, Angular, TypeScript, databases, Git, and continuous integration, with additional exposure to web security, testing, documentation, and business analysis.

Design and deliver internal systems, Go services, APIs, data models, dashboards, visualizations, and LLM-powered workflow features. The role includes writing specifications, estimating work, code reviews, testing, documentation, security, performance, accessibility, and collaboration with nontechnical stakeholders. The engineer will handle sensitive people data, mentor colleagues, and improve team practices in a globally distributed environment.

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.

Builds software solutions for end users as a general full-stack engineer. The role emphasizes collaboration, ownership, accountability, fast-paced execution, adaptability, multitasking, rapid learning, and an ambitious, outcome-driven approach.

Build and operate production AI infrastructure powering intelligent agents at scale. Develop high-performance Rust services for model inference, orchestration, and execution; design scalable distributed systems; establish MLOps, observability, guardrails, and failure recovery; and optimize latency, throughput, reliability, and cost. Partner with agent systems and infrastructure teams to turn prototypes into hardened services serving millions of users.

Lead the design, development, and operation of scalable, secure digital messaging services in a cloud-based microservice architecture. Own architectural decisions, build integrations with messaging and social platforms, improve reliability and observability, and deliver automated testing. Partner with cross-functional teams, participate in incident response and on-call operations, conduct technical reviews, mentor engineers, and raise engineering standards.

Develop and support scalable MES applications, reporting solutions, CI/CD pipelines, and event-driven integrations for global manufacturing operations. The role involves Java and SQL development, troubleshooting integrated systems, root-cause analysis, documentation, process improvement, and collaboration with engineering, DevOps, and manufacturing teams.

Analyze anti-bot and bot-mitigation systems, identify how websites detect and block scraping activity, and develop repeatable testing and bypass approaches. Build a greenfield agentic environment for evaluating anti-bot behavior, contribute to backend systems at scale, investigate complex incidents, and communicate findings clearly. The role requires deep web protocol knowledge, strong Node.js, TypeScript, and Python skills, scientific problem-solving, AI coding agent proficiency, and independent execution in a remote-first team.

Senior Software Engineer to design and implement C++/Python software, accelerate workloads with CUDA, develop and maintain Linux kernel modules and system services, optimize system and GPU performance, manage Linux systems, mentor junior engineers, and integrate AI technologies across products.

Staff Software Engineer responsible for designing, building, and operating distributed market data systems. The role focuses on real-time blockchain data ingestion, streaming, normalization, storage, APIs, reliability, data correctness, observability, incident recovery, and production support. The engineer will lead technical decisions, mentor teammates, translate ambiguous requirements into designs, and use AI-assisted development throughout the software lifecycle.

Build and modernize TOPdesk’s customer-facing Knowledge Base across frontend and backend systems. Use agentic workflows with Claude Code to frame problems, orchestrate implementation, verify results, and maintain production quality. Modernize a legacy Java and MS SQL platform using TypeScript, Vue, Azure, and Kubernetes. Develop reusable prompts, subagents, and evaluation patterns, improve engineering metrics, review agent-generated code, and coach colleagues on AI-native software delivery.

Develop and maintain Linux kernel and BIOS software for Arista hardware products and EOS. Responsibilities include kernel feature development, upstream integration, CPU and BIOS vendor integration, hardware bring-up, debugging, performance tuning, project ownership, and customer interaction. The role requires strong C/C++ and Python experience, software engineering fundamentals, troubleshooting ability, and solution design skills.

Own end-to-end migration of business domains from a legacy desktop ERP to a modern web ERP. Design data models, APIs, tenant isolation, cutover and rollback plans; execute safe live-data migrations; maintain production reliability; review backend and frontend code; collaborate with Product; mentor engineers; and occasionally modify legacy C++ code.

Sets architectural direction across assessment products and services, drives cross-team technical decisions, writes architecture and design documentation, defines service boundaries, evaluates vendors, mentors senior engineers, establishes AI engineering practices, and improves reliability and testing strategy.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Design and develop the core vCluster Platform, focusing on Kubernetes internals, tenant isolation, container orchestration, and scalable resource-sharing systems. Build high-performance Go software, own features from technical design through release, solve complex systems-architecture problems, and contribute to open-source projects. The role requires autonomous technical leadership, active collaboration with the Kubernetes community, and experience in high-growth startup environments.

Design and build the vCluster Platform using Kubernetes internals and Go. Own features end to end from technical design through release, solve complex systems architecture problems, contribute to open-source projects, and develop scalable tenant isolation and resource-sharing solutions. The role requires autonomous technical problem solving, strong Kubernetes expertise, and participation in a high-growth startup environment.

Develop and maintain ABBYY Vantage cloud-native services supporting document AI capabilities, including OCR pipelines, AI skill workflows, APIs, infrastructure, and analytics. Design, test, deploy, and monitor reliable software; participate in code reviews; improve tooling and delivery workflows; resolve production incidents; and collaborate with product, UX, ML, and engineering teams.

Develop a highly optimized, open-source AI inference framework using low-level C/C++/Rust software, GPU kernels, hardware offloads, and RDMA networking. The role focuses on Linux systems, network performance, computer architecture, scalability, benchmarking, and high-performance computing across large data centers and supercomputers.

Develop and maintain a C++ backend application supporting market risk management and regulatory requirements. Investigate software issues, identify root causes, implement fixes, and write automated tests. Work in Linux using GCC and command-line tools, while responsibly using AI-assisted development tools for design, coding, debugging, testing, and review. Collaborate independently, understand business context, and deliver clear, maintainable, reliable code.

Maintain and enhance automated market-making software while developing C++ and Python backend services for brokerage systems. Investigate production issues, debug existing code, implement reliable fixes, and write tested, maintainable software in a Linux environment. Collaborate with developers and stakeholders, use AI-assisted development tools responsibly, and take ownership of assigned work. Candidates may be junior or mid-level, with financial systems experience preferred.

Build and maintain scalable automated testing infrastructure for systems processing over one billion order events daily. Responsibilities include designing unit, integration, and acceptance test suites; developing data quality checks; monitoring test infrastructure; reporting on coverage and reliability; investigating failures; and collaborating with engineers and data scientists to improve software quality and market surveillance 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.

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.