Top Software Engineer Jobs in Madrid

Design, build, and maintain backend collections systems to manage delinquent loans. Collaborate with product, risk, and engineering teams, deliver features in phases, support operations and on-call rotation, instrument monitoring, and participate in hiring and team growth.

Build and maintain backend collections systems to manage delinquent loans, implement recovery strategies, ensure high availability and reliability, collaborate with product and risk teams, participate in on-call rotation, write well-tested extensible code, and contribute to team growth.

The Software Engineer will join a product squad to develop and maintain functionalities on the 360Learning platform, focusing on JavaScript technologies and clean architecture.

Build scalable backend systems and data pipelines to power consumer credit reporting. Partner with Product, Compliance, Servicing, and Credit teams to design, deliver, monitor, and operate accurate reporting systems, including on-call responsibilities. Develop robust, well-tested code in Python or Kotlin using distributed systems patterns and technologies like AWS, MySQL, and Spark.

Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.

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 organization-wide software and AI engineering strategy, architect large-scale data and LLM integrations, drive deployment and CI/CD practices, mentor technical leaders, and convert prototypes to production while ensuring AI evaluation, observability, and high code quality.

Lead design and delivery of real-time fraud decisioning services and APIs, extend decisioning platform to international markets, integrate regional risk vendors and ML/AI signals, own platform tooling and availability, mentor engineers, collaborate cross-functionally, and participate in on-call rotation.

Build features, prototypes, and demos using modern AI coding tools and agents; iterate prototypes into reliable, scalable production; direct and evaluate AI coding agents; collaborate closely with founders and senior engineers; explore and improve AI development workflows to accelerate product delivery.

Design, build, and maintain the foundational, high-scale search engine systems powering billions of daily requests. Work on backend infrastructure, deployment automation, capacity planning, observability, performance-critical code, and production operations while collaborating with a team to ensure reliability and scalability.

Build and architect Base360.ai: design and launch booking, pricing, payments, operations, and AI-powered automation. Integrate platforms (Airbnb, Stripe, Twilio, OpenAI), scale systems internationally, and embed AI workflows to automate operations and optimize revenue.

You will lead engineering efforts for backend system development, collaborate with global teams, ensure operational availability, and develop talent on your team.

Build and maintain API integrations and the connectivity platform linking EV chargers, vehicles, and OEMs. Improve reliability, observability, and scalability; develop automations and internal tools for monitoring and triage; define SLAs and alerting; collaborate with product and engineering teams to balance stability and delivery.

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

Full‑stack engineer responsible for building and owning elastic.co features end-to-end: React front‑end, backend services, CI/CD, production instrumentation, security triage, on‑call incident response, and collaborating with product and design to deliver scalable, secure web experiences.

As a Senior Software Engineer, you will lead backend development for the Merchant Data Platform, mentor junior engineers, ensure system reliability, and collaborate in product development. Your role involves project management, technical planning, and maintaining high availability of services.

Drive end-to-end performance and scalability testing for NVIDIA DGX Cloud across Kubernetes and NVIDIA components. Develop automated workload tests, monitoring and CI/CD frameworks, triage complex distributed-system issues, collaborate with customers and upstream open-source communities, and document and present findings.

Lead full-stack development of cloud-native SaaS transportation solutions: prototype, design, build and deploy responsive React front ends and scalable C#/.NET back ends, implement REST APIs, optimize performance/security, use AI-assisted coding, and operate CI/CD and cloud infrastructure (Azure/Docker) in an agile international team.

Lead and deliver backend features for Repayment Scheduling: design and implement highly available distributed systems, collaborate with product/design/analytics, own operational reliability and on-call duties, mentor engineers, set quality standards, and drive technical decisions and delivery.

Design, operate, and improve secure, scalable Kubernetes-based cloud platforms and GitOps deployment pipelines. Build IaC and automation (Terraform), enhance CI/CD, observability, reliability, and cost efficiency, lead production incident investigations, and collaborate with DevOps, SRE, software, data, AI, and security teams.

Build and own end-to-end features across backend and frontend: design backend services and data models (Python/Django), implement RESTful APIs, create reusable frontend components (TypeScript/React), write tests, participate in code reviews, maintain production reliability and security, and collaborate with product and design.

Develop and maintain C# applications, design robust solutions with the team, write unit tests and occasional end-to-end test plans, conduct code reviews, and diagnose and resolve technical issues to ensure code quality and reliability.

Drive performance and scale characterization for NVIDIA DGX Cloud across Kubernetes and NVIDIA components. Build automated tests, monitoring, and CI/CD for large-scale GPU-accelerated workloads. Triage and resolve distributed systems performance issues, collaborate with researchers and upstream open-source communities, and present findings at conferences.

Own and deliver backend identity systems for international markets, shaping technical direction, designing distributed, highly available services, and collaborating with product, design, and analytics. Improve reliability, performance, and operational health; participate in on-call rotation; set code and design standards; mentor and grow engineers; reduce toil and create runbooks/playbooks. Drive cross-team collaboration to meet regulatory and market-specific identity/KYC requirements.

Develop and integrate Python-based AI/ML backend solutions. Design, implement, test, and optimize scalable services; collaborate with data scientists to deploy models; improve performance and development processes; work with DevOps and cloud ML tooling.