Top Tech Jobs & Startup Jobs in Spain

The AI Full Stack Software Engineer will design and develop applications for AI initiatives. Responsibilities include building user interfaces, backend services, and integrating AI applications with other systems while ensuring security and compliance.

The Senior Software Quality Engineer role focuses on enhancing testing frameworks, automating functions, testing features, and improving existing infrastructure for ClickHouse's cloud offerings.

As a Technical Solutions Account Manager, you'll oversee customer onboarding, ensure product value, manage technical projects, and collaborate cross functionally to enhance customer experience.

Lead Implementation Consultant configures and deploys Sprinklr for enterprise customers, advises on platform design and integrations (contact center, telecom, CRM), conducts health checks, trains users, and acts as client escalation and implementation lead to drive adoption and best practices.

Own and ship developer-focused observability product features (alerts, APM, onboarding, connected investigations). Collaborate with engineers and power users to improve UX, reduce alert fatigue, speed root-cause workflows, and optimize telemetry onboarding and query performance.

Develop and maintain server-side components for Tempo's flagship Jira Cloud products using Kotlin/Java. Design scalable distributed systems and APIs, write unit/integration/performance tests, optimize performance and database queries, collaborate with product, design, QA and docs teams, and contribute to code reviews with a focus on security, UX, and maintainability.

As an AI Engineer, you will implement AI solutions using Azure OpenAI API, develop machine learning models, and collaborate with teams across industries including retail and healthcare.

The AI Transformation Lead drives AI strategy and implementation across departments, identifies automation opportunities, and fosters an AI-driven culture in the company.

As a Strategic Account Manager, you'll drive growth by identifying new business opportunities, building executive relationships, and managing strategic accounts.

As a Data Scientist, you will design and deploy data-driven fraud prevention solutions, working directly with clients to tackle unique challenges. You'll build machine learning models and collaborate with engineering to enhance backend systems.