Top Software Engineer Jobs in Spain

The Software Engineer will join the Frontend team to improve and maintain software tools, develop user interfaces, and collaborate with team members on coding standards and new features.

Develop and maintain the JetBrains Runtime to ensure IDEs run fast and render well. Provide low-level support for UI frameworks (Swing, Compose for Desktop), work on OpenJDK projects, implement hardware-accelerated rendering (Metal/Vulkan/OpenGL/D3D), fix JBR issues, and optimize/refactor cross-platform system UI code for Windows, macOS, and Unix.

Architect, develop, and scale cloud services, dashboards, and data pipelines to support robotics and autonomous vehicle telemetry. Integrate IoT devices with Azure services, build APIs/microservices, implement observability and CI/CD, validate systems in lab and field, and mentor junior engineers.

The role involves designing and building AI-focused research tools, optimizing performance, engaging with customers, and scaling product features quickly.

The Backend Engineer will design scalable infrastructure for AI research tools, collaborate on optimizing system performance, and own evaluation pipeline automation.

Own availability and performance of mission-critical services, improve scalability and observability, build platform tooling, practice sustainable incident response, participate in on-call rotation, collaborate with product teams, and follow FinOps best practices.

Design, develop, and maintain scalable Python/Django backend services and RESTful APIs for financial products. Implement data models, write tests, optimize performance, ensure availability and security, participate in code reviews, and collaborate with cross-functional teams to deliver features and maintain production systems.

Design and implement complex customer-facing frontend features using TypeScript and React. Provide technical leadership, mentor junior engineers, drive frontend architecture and best practices, improve performance and accessibility, partner with product/design, integrate with backend APIs, and manage technical debt and scalability.

Lead technical initiatives for developer tooling and platform excellence. Provide hands-on expertise in fullstack/DevOps/IaC, administer Atlassian Cloud, resolve L2/L3 escalations, build Python/AI automation, and drive global best practices for code quality, security, and regulated software delivery.

The Lead Software Engineer will develop AI-driven software solutions, focusing on backend systems, microservices, and collaborating with cross-functional teams to influence strategic decisions.

Develop and maintain open-source, silicon-optimized AI/ML inference application packages (Inference Snaps) for Linux/Ubuntu Core. Debug, write high-quality code, review upstream contributions, secure and optimize local inference deployments across embedded devices to gateways, and collaborate with a distributed team and stakeholders.

Design, implement, and maintain cross-platform C++ features for Multipass on macOS and Windows. Lead architecture, mentor peers, write high-quality tested code, review contributions, debug user issues, collaborate with a distributed team, engage the open-source community, and support customers.

Build and maintain backend-first features and integrations for Triptease's marketing channels. Work across the full stack (primarily backend), design scalable distributed systems, implement CI/CD on cloud platforms, collaborate closely with product teams, pair program, write tests (TDD), and contribute to squad strategy and product quality.

Senior full-stack engineer responsible for designing, developing, testing, and maintaining cloud-native microservices and Angular frontends. Build RESTful APIs, implement asynchronous messaging, optimize data and caching, maintain CI/CD pipelines, containerize with Docker/Kubernetes, and ensure observability and system reliability.

Design, build, test, and maintain full-stack, cloud-native applications. Develop .NET-based microservices and Angular frontends, implement asynchronous messaging, manage data with SQL/Redis, maintain CI/CD pipelines, containerize with Docker/Kubernetes, and ensure monitoring and test coverage while collaborating cross-functionally and mentoring peers.

Responsible for the design, development, and maintenance of electrical systems, using control theory for desired system behavior, while ensuring team and customer focus.

The Software Engineer will develop and maintain backend services and APIs, optimize performance, and collaborate with cross-functional teams to align with product strategy.

The Software Engineer will manage data ingestion for AI model training, enhance cloud infrastructure, and collaborate on dataset development for Speechify products.

The role involves leading engineering decisions, shipping production code for the iOS app, maintaining app architecture, and participating in product discussions. The candidate should have experience guiding products that serve a large user base, technical expertise in Swift and SwiftUI, and a strong customer focus.

The Software Engineer will develop and extend data collection processes and cloud infrastructure to support AI model training, collaborating with AI scientists.

Student intern will develop software engineering skills by researching technologies, collaborating with teams, solving customer problems, and helping design and integrate features for XProtect. Work includes hands-on experience with object-oriented programming, databases, containerization, CI/CD, and test automation within a multicultural development team.

As a Senior Software Engineer, you will enhance the REDAPL platform, leading initiatives in data ingestion, processing, and supporting infrastructure-related projects while mentoring other engineers.

Lead architectural direction for Lansweeper's distributed platform, drive AI-native engineering practices, mentor senior engineers, collaborate with product and infra, and ensure reliable, scalable production systems.

Design, build, and maintain high-scale distributed backend services and data pipelines for asset discovery, recognition, and enrichment. Integrate AI/ML into workflows, solve concurrency and fault-tolerance problems, participate in architecture and code reviews, mentor engineers, and use AI-assisted development tools in daily engineering practice.

Design, implement, and operate scalable, multi-cloud distributed infrastructure and core services (TypeScript, Kotlin, Go). Optimize compute, storage, networking, and observability; support event-driven architectures; own end-to-end deployment and production reliability; implement disaster recovery and business continuity; collaborate with engineering, AI and security researchers to enable high-velocity product development.