Tech jobs
Job listings
Arquitecto Java BackEnd / Arquitecturas EDA (cliente final)
Designs and builds scalable Java back-end systems using EDA patterns (Kafka), cloud (AWS/Azure), and Kubernetes, leading international platform evolution and integrations.
Lead Android Automotive Framework Developer
Lead the development of Android Automotive Framework components (SystemUI, Homescreen) for next-gen in-vehicle infotainment systems using Kotlin/Java and AOSP.
Java Developer (100% remoto)
A Senior Backend Java Developer will design and build APIs for an e-commerce platform using Java 17/21, Spring Boot, MongoDB, Couchbase, and Kafka, ensuring clean code and sprint-based delivery.
Backend Engineer (Java / Spring Boot)
Mid Backend Engineer building and deploying features end-to-end using Java, Spring Boot, MySQL, Redis, RabbitMQ and AWS for a high-availability travel platform.
Backend Developer
Build and maintain secure, scalable backend services in Java/Spring Boot for a global digital health platform, leveraging AI agents to accelerate development and improve code quality.
Backend Developer - Java (Hybrid Madrid)
Build and maintain Java-based backend services for a wealth-management client using Spring Boot, Kubernetes, and Kafka in a hybrid Madrid role.
Desarrollador/a Fullstack Java – Frontend
Build and maintain Java/Spring Boot microservices and contribute to React/Angular/Vue frontend apps in a full-stack role.
Senior FrontEnd Software Engineer
Build and maintain enterprise Angular frontends for regulated environments, optimizing performance and integrating with RESTful APIs while leading UI architecture and testing.
Full Stack developer (Java/React)- Hybrid Madrid
Build and maintain full-stack Java/Spring Boot and React applications for enterprise clients using agile and DevOps practices.
Site Reliability Developer (python/java) / SRE
Build and maintain cloud infrastructure, automate operations, and ensure high availability for security products using Python/Java and DevOps/SRE practices.
Software Engineer - New Grad
Build and optimize scalable backend systems and APIs for Physical AI robots in food, mining, and transport industries using Java/Go, cloud platforms, and distributed systems.
Software Engineer – Data Discovery
Build and maintain a large-scale search engine indexing billions of biological data objects, integrating AI to improve discovery and user experience for global research communities.
Snowflake Data Platform Engineer - Hybrid ETL & Infra
Build and maintain Snowflake-based data pipelines and cloud infrastructure, automate ETL workflows, and optimize costs using Python/Java and Terraform in AWS.
Data Analytics Engineer I Software engineering London
Build and maintain data pipelines and warehouses for a global fintech platform, ensuring accuracy and compliance while scaling to hundreds of billions of financial events.
Data Platform Engineer – Lakehouse & AI (VP)
Designs and builds scalable data pipelines for a modern lakehouse platform, ensuring reliable ingestion, transformation, and modeling of financial data using Python/Java, SQL, and Apache Spark.
Data & ML Platform Engineer
Build and maintain scalable data pipelines, ML infrastructure, and MLOps workflows on Google Cloud to power Tekever’s AI-driven surveillance and decision-support systems.
Senior Software Engineer - Data
Senior software engineer builds and maintains data pipelines, streaming platforms, and cloud-native warehouses for a $9B hedge fund using Python, Snowflake, dbt, Kafka, and AWS.
Data Engineer II - Decision Analytics in London - American Express Global Business Travel (GBT)
Build and maintain data pipelines and ML infrastructure using Python, Java, Scala, Spark, and SQL to support decision analytics at a travel-tech company.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases.
Reference Data Platform Engineer (Hybrid London)
Build and maintain distributed services that ingest and process market reference data in a Kubernetes-based environment, upgrading legacy Java systems and improving performance and observability.